# Highlights of Statistical and Nonlinear Physics (GSNP) Talks @ APS 2020 March Meeting

American Physics Society (APS) March meeting is one of the largest physics meetings in the world. In 2020, the meeting was canceled due to concerns over the rapid spread of COVID-19.

To help the community quickly catch up on the work to be presented in this meeting, Paper Digest Team processed all talk abstracts, and generated one highlight sentence (typically the main topic) for each. Readers are encouraged to read these machine generated highlights / summaries to quickly get the main idea of each talk. This article is on the talks related to **Statistical and Nonlinear Physics (GSNP)**.

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#### TABLE : Statistical and Nonlinear Physics (GSNP)

Title | Authors | Highlight | Session | |
---|---|---|---|---|

1 | Re-Printable, Self-Healing Polymer Networks | Sukhishvili, Svetlana; Gardea, Frank; Zhou, Qing | We report a versatile approach to designing 3D printable, re-processable dynamic covalent networks with controllable mechanical properties. | Session 1: 3D Printing of Polymers and Soft Materials |

2 | Reactive Processing in Extrusion based Polymeric 3D Printing with Surface Segregating Additives | Levenhagen, Neiko; Dadmun, Mark | Reactive Processing in Extrusion based Polymeric 3D Printing with Surface Segregating Additives | Session 1: 3D Printing of Polymers and Soft Materials |

3 | 3D Printing Polylactic Acid: modelling residual alignment, annealing and templated crystallinity | McIlroy, Claire; Graham, Richard; Cavallo, Dario; Seppala, Jon; Kotula, Anthony | We propose that this micro-structure leads to reduced weld strength. | Session 1: 3D Printing of Polymers and Soft Materials |

4 | Determination of polymer chain orientation in 3D printed filaments using Polarized Raman spectroscopy and Birefringence | Hassan, Nora; Seppala, Jonathan; Kotula, Anthony; Hight Walker, Angela; Migler, Kalman | To study orientation and alignment of molecular chains in 3D printed polycarbonate filaments, we used a combination of polarized Raman spectroscopy and birefringence measurements. | Session 1: 3D Printing of Polymers and Soft Materials |

5 | Mechanical Properties of an Additively Manufactured Cyanate Ester | Giovino, Marissa; Koerner, Hilmar; Baur, Jeffery | Mechanical Properties of an Additively Manufactured Cyanate Ester | Session 1: 3D Printing of Polymers and Soft Materials |

6 | Effect of Chain Alignment and Entanglements on Thermal Welding in Fused Filament Fabrication | Galvani, Marco; Robbins, Mark | To address this puzzle we performed molecular dynamics simulations of welding between polymer melts with different degrees of initial alignment. | Session 1: 3D Printing of Polymers and Soft Materials |

7 | 3D Printing of Polymers and Soft Materials | Seppala, Jon | This talk will cover “traditional” and emerging soft 3DP processes, material physics, measurement and modeling challenges, and opportunities. | Session 1: 3D Printing of Polymers and Soft Materials |

8 | Using Eigenvector Centrality to Predict the Mechanical Properties of Structured Materials | Welch, Cynthia; Welch, Paul; Patterson, Brian; Herman, Matthew; Kuettner, Lindsey | Our ultimate objectives are to provide a simple reduced-order model for predicting mechanical parameters for tailored structures and to better inform engineering models. | Session 1: 3D Printing of Polymers and Soft Materials |

9 | Mechanical Enhancement of Polydopamine Nano-Coatings via Thermal Annealing | Malollari, Katerina; Delparastan, Peyman; Fink, Tanner; Zha, Helen; Messersmith, Phillip | Here, we demonstrate thermal annealing at a moderate temperature (130 C) as a facile route to enhance mechanical robustness of pDA coatings. | Session 1: 3D Printing of Polymers and Soft Materials |

10 | The Role of Ionization in Thermal Transport of Solid Polyelectrolytes | Luo, Tengfei; Wei, Xingfei | In this work, we use molecular dynamics simulations to study the thermal transport mechanism of solid polyelectrolytes, poly(acrylic acid) (PAA) and its ionized forms. | Session 1: 3D Printing of Polymers and Soft Materials |

11 | Printing direction dependent microstructures in direct ink writing | Friedrich, Leanne; Begley, Matthew | We propose an analytical model for diagnosing sources of printing direction-dependent flows and particle distributions. | Session 1: 3D Printing of Polymers and Soft Materials |

12 | Polymer Network Formation in Epoxy-Acrylate Dual-Cure Thermoset Resins for Direct Ink Write Additive Manufacturing | Appelhans, Leah; Kopatz, Jessica; Unangst, Jaclynn; Cook, Adam; Reinholtz, Derek | Development of methods to additively manufacture thermoset resins will enable additive approaches for a broad scope of materials including structural materials and advanced composites. | Session 1: 3D Printing of Polymers and Soft Materials |

13 | Understanding the structure-property relationships of nanostructured epoxy inks for direct ink writing | Liu, Deborah; Donely, Gavin; Rogers, Simon; Krogstad, Daniel | In this presentation, we will discuss how these nanostructures affects the rheology and the printability of the inks as well as the epoxy crosslinking kinetics. | Session 1: 3D Printing of Polymers and Soft Materials |

14 | Chemical Approaches to Diversifying the 3D Printing Ecosystem | Boydston, Andrew | As a representative example, we will discuss progress toward simultaneous photo-radical/photo-cationic printing mechanisms for production of multimaterial parts. | Session 1: 3D Printing of Polymers and Soft Materials |

15 | 3D Control of Properties in Single-Material Digital Stereolithography for the Treatment of Growth Plate Injury | Uzcategui, Asais Camila; Higgins, Callie; Hergert, John; Muralidharan, Archish; Kilgore, Jason; Bryant, Stephanie; McLeod, Robert | In this work we use a poly(ethylene glycol) diacrylate based hydrogel to implement a step function and a gradual change in mechanical properties in 3D scaffolds. | Session 1: 3D Printing of Polymers and Soft Materials |

16 | Cure Depth Effects on Photopolymer Reactivity in Stereolithography 3D Printing | Smallwood, Anna; Adley, Rykelle; Jacott, Caius; Ryu, Chang | This study seeks to investigate the effect of photoinitiator concentration on these characteristics. | Session 1: 3D Printing of Polymers and Soft Materials |

17 | Design and Fabrication of 3D Printed Polymer Composites using Grayscale Stereolithography | Hergert, John; Uzcategui, Asais; Muralidharan, Archish; McLeod, Robert | A deterministic model for polymer conversion in the printing process is utilized to inform printing conditions such that final composite properties can be predicted. | Session 1: 3D Printing of Polymers and Soft Materials |

18 | Theory and Implementation of Volumetric 3D Printing | Rackson, Charles; Shusteff, Maxim; McLeod, Robert | We describe theoretical limitations to the method, experimental implementation, and how the coupling of optics and materials informs system design. | Session 1: 3D Printing of Polymers and Soft Materials |

19 | Stiffness can mediate the balance between hydrodynamic forces and avidity to impact the targeting of flexible polymeric nanoparticles in flow | Farokhirad, Samaneh; Ranganathan, Abhay; Myerson, Jacob; Muzykantov, Vladimir R.; Ayyaswamy, Portonovo; Eckmann, David M.; Radhakrishnan, Ravi | We employ a coarse-grained model for the polymeric NP and perform Brownian dynamics simulations with hydrodynamic interactions and in presence of wall-confinement, particulate margination, and wall-adhesion for obtaining NP microstructure, shape, and anisotropic and inhomogeneous transport properties for different NP stiffness. | Session 1: 3D Printing of Polymers and Soft Materials |

20 | Propagating Activity Fronts in Columns fo Fire Ants | Anderson, Caleb; Fernandez-Nieves, Alberto; Goldsztein, Guillermo | Here we present our surprise observation and measurements of stable activity fronts propagating through two-dimensional columns of thousands of fire ants. | Session 2: Active Matter |

21 | Self- and air-driven fluidization of black soldier fly larvae | Shishkov, Olga; Hu, David; Goldman, Daniel | Here we study a living system in which both internal and external activity can be varied. | Session 2: Active Matter |

22 | Stochastic thermodynamics for self-propelled particles | Szamel, Grzegorz | We present a generalization of stochastic thermodynamics to systems of active particles, which move under the combined influence of stochastic internal self-propulsions (activity) and a heat bath. | Session 2: Active Matter |

23 | Odd viscosity in active materials: microscopic origin and 3D effects | Markovich, Tomer; Lubensky, Tom | In this talk I will present a novel microscopic Hamiltonian theory for odd viscosity, valid also in 3D. | Session 2: Active Matter |

24 | Quincke Oscillation of Colloids at Planar Electrodes | Zhang, Zhengyan; Dou, Yong; Bishop, Kyle | So-called Quincke rotation near a planar substrate leads to particle translation and provides a useful experimental model for studying the collective dynamics of active colloids. | Session 2: Active Matter |

25 | Capturing the local entropy production of an active Brownian particles system by compression | Guo, Buming; Martiniani, Stefano; Chaikin, Paul; Levine, Dov | Here we use a compression based Ziv-Merhav method and other techniques to estimate KLD and time reversal symmetry to define a natural spatial decomposition of entropy production by applying the algorithms on discrete time series of state evolution in local block regions. | Session 2: Active Matter |

26 | Superdiffusion and hydrodynamic phase separation in a uniaxial active suspension | Dadhichi, Lokrshi; Kumar, K Vijay; Bhattacharjee, J K; Ramaswamy, Sriram | We examine, analytically and to some extent numerically, the dynamics of the concentration field in an active suspension with permanent uniaxial anisotropy. | Session 2: Active Matter |

27 | Chemistry-Induced Mobility in Catalytic Chemical Reactions | Wang, Huan; Park, Myeonggon; Tlusty, Tsvi; Granick, Steve | In simple exothermic, catalysed chemical reactions, we observe unexpected solvent enhanced diffusion, both in water and in organic solvents, to be tightly correlated with molecular catalytic cycles. | Session 2: Active Matter |

28 | Spontaneous locomotion of nano-catalysed BZ droplets | Kumar, D; JASUJA, KABEER; Dayal, Pratyush | In particular, we observe highest droplet velocities when RuNP decorated graphene sheets are used to catalyze the BZ reaction. | Session 2: Active Matter |

29 | Topological Mixing in the Vicsek Model of Active Matter | Nguyen, Nguyen; Smith, Spencer | We revisit this result from the perspective of mixing and fluid advection. | Session 2: Active Matter |

30 | Anomalous topological active matter | Sone, Kazuki; Ashida, Yuto | Here, we show that the topological edge modes can ubiquitously emerge in active matter, the collection of self-propelled particles, under influences of spatially periodic structures [1]. | Session 2: Active Matter |

31 | Homotopy analysis method for Non-Markovian processes in active matter | Apaza Pilco, Leonardo; Sandoval-Espinoza, Mario | We solve the Fokker-Planck (FP) equation for active non-Markovian and quasi-Markovian processes using the homotopy analysis method, and provide analytical expressions for classic mean values as a series in time. | Session 2: Active Matter |

32 | Computational study of autonomous mechanical oscillations in a colloidal network crosslinked via clock proteins | Melcher, Lauren; Rennert, Elisabeth; Ross, Jennifer; Rust, Michael; Robertson-Anderson, Rae; Das, Moumita | We investigate a colloidal network as a model system that can dynamically switch between crosslinked and unlinked states when connected via crosslinkers made of clock proteins such as the bacterial circadian oscillator proteins KaiABC. | Session 2: Active Matter |

33 | Scalar activity induced phase separation and liquid–solid transition in a Lennard-Jones system | Dasgupta, Chandan; Chari, S Siva Nasarayya; Maiti, Prabal | We observe that the two species tend to phase separate at sufficiently high temperature ratio. | Session 2: Active Matter |

34 | Dipolar Extensile Dynamics in Microtubule-Based 2D Active Nematics | Lemma, Linnea; Dogic, Zvonimir | Theories describe 2D active nematics in terms of liquid crystals, hydrodynamics and chaotic fluids. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

35 | Design of active nematic systems with controllable defect dynamics and flows | Zhang, Rui; Mozaffari, Ali; De Pablo, Juan | In this talk, I will summarize our recent progress in active nematics research, with an emphasis on the interplay between molecular interactions, elasticity, and hydrodynamic forces. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

36 | Control of bacterial dynamics by splay and bend in nematic vortices | Koizumi, Runa; Turiv, Taras; Genkin, Mikhail; Lastowski, Robert; Yu, Hao; Chaganava, Irakli; Wei, Qihuo; Aronson, Igor; Lavrentovich, Oleg | We explore the effect of splay and bend of the director field on the individual and collective behavior of motile Bacilli subtilis. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

37 | Spatiotemporal Optimal Control of an Extensile Active Nematic Suspension | Norton, Michael; Grover, Piyush; Baskaran, Aparna; Hagan, Michael; Fraden, Seth | Towards developing experimental methods for controlling these dynamics, we consider an optimal control problem which seeks to find the spatiotemporal pattern of active stress strength required to drive the system towards a desired director field configuration. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

38 | Self propelling nematic microcapsules | Maass, Corinna; Hokmabad, Babak Vajdi; Baldwin, Kyle; Bahr, Christian | Building on an established active emulsion platform, we have developed a new approach to the problem of encapsulation by using nematic active double emulsions, where a solubilization mechanism induces activity and the molecular nematicity provides stability. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

39 | The Dynamics of Active Nematic Defects on The Sphere Surface | Zhang, Yiheng; Deserno, Markus; Tu, Zhanchun | Here we study the active counterpart of such a system, in which a self-driven directional motion of the individual nematogens creates a large-scale flow that drives the system out of equilibrium. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

40 | Emergent dynamics of large scale collective rotations in 2D active nematic | Quint, David; Chapman, Dali; Gross, Steven; Beller, Daniel; Gopinathan, Ajay; Xu, Jing | Motivated by recent work on active nematics we employ here a microtubule and kinesin motor gliding assay system to examine dynamic collective order in 2D. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

41 | Defect dynamics of 3D active nematic turbulence | Kos, Ziga; Binysh, Jack; Copar, Simon; Aplinc, Jure; Zumer, Slobodan; Alexander, Gareth; Ravnik, Miha | Our work aims to provide insight into 3D active turbulence from the perspective of the topology of the emergent 3D defects and their self-induced dynamics. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

42 | Topological Defects in Cell Monolayers Guided by Topography | Endresen, Kirsten; Kim, MinSu; Serra, Francesca | We survey multiple cell types (EpH-4 and 3T6) to characterize their alignment, density, and dynamics near defects of various topological charges, and define LC parameters such as defect core sizes and elastic constants. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

43 | Clustering, jamming, and topological defects in growing bacterial colonies at liquid interfaces | Langeslay, Blake; Juarez, Gabriel | Here, we present experimental results on growing colonies of rod-shaped bacteria confined in two dimensions by adsorption at an oil-water interface. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

44 | Topological defects drive layer formation in bacteria colonies | Copenhagen, Katherine; Alert, Ricard; Wingreen, Ned; Shaevitz, Joshua | By measuring cell flows, we find an influx of cells towards positive defects and an outflux away from negative defects. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

45 | Pulsating air bubbles can swim in anisotropic fluids | Kim, Sung-Jo; Um, Eujin; Jeong, Joonwoo | Here we explore the swimming of a spherical bubble with a periodic change in its radius. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

46 | Defect Ordering and Patterning in Active Nematics | Shankar, Suraj; Marchetti, M Cristina | By focusing on defects as the relevant excitations, we develop a hydrodynamic theory of active defects incorporating both defect motility and active torques that align defect orientations. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

47 | Ordering and Correlations of Active Nematic Defects in 2D Flat Space | Nambisan, Jyothishraj; Pearce, Daniel; Ellis, Perry; Giomi, Luca; Fernandez-Nieves, Alberto | One of the aims of our work is to address the orientation of defects in curved geometries. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

48 | Defect order in active nematics | Chen, Zhitao; Bowick, Mark; Marchetti, M Cristina | In this talk, we will discuss the interplay between elastic and active torques, active flows and frictional dissipation in controlling defect patterns in these active liquid crystals. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

49 | Dynamical Behavior of Defects in Circularly Patterned Active Nematics | Mozaffari, Ali; Zhang, Rui; Sokolov, Andrey; Snezhko, Alexey; De Pablo, Juan | We show that by patterning the activity by imposing active stresses in circular domains near the center of confinement, it is possible to regulate the motion of defects. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

50 | Photo-Patterning DNA Structures with Topological Defects and Arbitrary Patterns through Multiple Length Scales | Peng, Chenhui; Jiang, Jinghua; Dhakal, Netra | In this work, we demonstrate that the orientational order of DNA molecules can be precisely controlled by using photo-patterning technique. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

51 | Cells as liquid crystals, and what happens when they can’t align | Endresen, Kirsten; Kim, MinSu; Serra, Francesca | Our goal is to connect biological properties of cells to the LC properties of the monolayers that the cells can form. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

52 | Quantifying orientational interactions among defects in active nematics | Pokawanvit, Supavit; You, Zhihong; Marchetti, M Cristina; Bowick, Mark | Specifically, we demonstrate that the polar +1/2 defects interact via torques that tend to align the defect polarization with the elastic force they experience from other defects, as in previously studied models of flocking. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

53 | Effect of active enzyme diffusion on mesoscale particles | Rouhvand, Bahar; Ross, Jennifer | Prior work has used bacteria or colloidal active matter to serve as active baths that can turn rotors or be rectified. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

54 | Collective trapping of flocking particles by asymmetric obstacles | Aragones, Juan; Martinez, Raul; Alarcon, Francisco; Valeriani, Chantal | In this talk, I will show that flocking particles which follow the Vicsek model aligning rules experience a collective trapping in the presence of a wall of funnels made of chevrons, concentrating at the opposite side of a wall of funnels than run-and-tumbling particles. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

55 | Polar flocking of active clusters | Dommersnes, Paul; Fossum, Jon Otto | Here we report on a system of electro-propelled rolling granular beads with tuneable interactions. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

56 | Flocking and clustering of self-propelled disks with active reorientation | Zheng, Ting; Chen, Lu; Tu, Zhanchun; Cheng, Xiang; Xu, Xinliang | In this talk we present a numerical investigation of self-propelled disks that integrates a behavior of active reorientation in analogy to collision avoidance in animal herds. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

57 | Active folding and coiling in vivo | Mitchell, Noah; Cislo, Dillon; Shankar, Suraj; Dogic, Zvonimir; Shraiman, Boris; Streichan, Sebastian | We present a quantitative account of the dynamics of folding and coiling of the midgut that links cellular motion and deformation to the macroscopic shape change of the organ. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

58 | Dynamical self-consistent field-theory for active nematic liquid crystals: Nematic order and spatio-temporal structure in surface colonies of rod-like bacteria | Lee, Drake; Wickham, Robert | We present a dynamical self-consistent field theory for interacting, self-propelled rods that we use to study fascinating time-dependent, inhomogeneous structures observed in surface colonies of twitching Pseudomonas aeruginosa bacteria. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

59 | Growth and dynamics of active nematic droplets of Myxococcus xanthus bacteria | Yang, Cassidy; Shaevitz, Joshua | Unlike passive fluids that form axisymmetric spherical cap-shaped droplets, we find that these aggregates break symmetry and are often elongated in shape with non-uniform contact angles. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

60 | Solid-liquid transitions of deformable active particles | Loewe, Benjamin; Chiang, Michael; Marenduzzo, Davide; Marchetti, M Cristina | To describe such situations, we have developed a multi-phase field model where cells are characterized by multiple scalar fields, and interact through steric repulsion. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

61 | Uncovering the dynamic precursors to motor-driven contraction of active gels | Alvarado, José | Here we investigate the microscopic dynamics of reconstituted actin–myosin networks using real-space video microscopy and Fourier-space dynamic light scattering. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

62 | Microscopic simulations of a 3D active nematic composed of semiflexible polymers | Peterson, Matthew; Hagan, Michael; Baskaran, Aparna | Here, we will use particle-based simulations to better understand the dynamical properties of dry active nematics in 3D, both in bulk and under confinement. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

63 | The structure and dynamics of microtubule bundles mediated by motor proteins | Lemma, Bezia; Lemma, Linnea; Fuerthauer, Sebastian; Shelley, Michael; Dogic, Zvonimir; Needleman, Daniel | We can measure the geometric structure of these MT-based bundles using small-angle x-ray scattering and determine the polar structure of these materials by taking advantage of their chiral crystal lattice which produces constructive interference of second harmonic signal between polar-aligned MTs. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

64 | Microscopic to mesoscopic: what can modular molecular motors teach us about the nature of active stress? | Redford, Steven; Ruijgrok, Paul; Colen, Jonathan; Zemsky, Sasha; Vitelli, Vincenzo; Bryant, Zev; Dinner, Aaron; Gardel, Margaret | Coarse-grained hydrodynamic theories have proven invaluable to our understanding of active nematic liquid crystals. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

65 | 2D Patterns of Active Stress ascribe 3D Deformations of Driven Actomyosin Networks | Yadav, Vikrant; Kim, Taeyoon; De La Cruz, Enrique; Murrell, Michael | To understand this relation, we design an invitro actomyosin network with tunable mechanical stiffness and activity. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

66 | Confinement effects on the phase behavior of collagen-like semiflexible polymers | Spencer, Russell; Ha, Bae-Yeun | In this talk, we discuss the phase behavior of collagen-like semi-flexible polymers in the presence or absence of confinement, focusing on isotropic, nematic and cholesteric phases. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

67 | Shape study of Spindle-like microtubule tactoids using experiment and computation | Sahu, Sumon; Herbst, Lena; Quinn, Ryan; Ross, Jennifer | We explored the phase space of this organization by varying initial conditions like filament number, orientation, and length as well as crosslinker number, binding dynamics. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

68 | Shear-induced gelation of self-yielding active networks | Gagnon, David; Dessi, Claudia; Dogic, Zvonimir; Blair, Daniel | In this talk, I will describe how microscopic dynamics modify the macroscopic mechanical properties of extensile microtubule networks. | Session 3: Active Matter and Liquid Crystals in Biological Systems |

69 | Clogging and Depinning of Active Matter Systems in Disordered Media | Reichhardt, Cynthia | We numerically examine the transport of active run-and-tumble particles with steric particle-particle interactions driven with a drift force over random disordered landscapes comprised of fixed obstacles. | Session 4: Active Matter in Complex Environments |

70 | Flocking through disorder | Chardac, Amélie; Shankar, Suraj; Marchetti, M Cristina; Bartolo, Denis | I will present a series of quantitative experiments that elucidate the existence of a novel state of active matter that supports orientational order (through a sparse rivers network) but no net transport. | Session 4: Active Matter in Complex Environments |

71 | Enhanced bacterial motility in colloidal media | Kamdar, Shashank; Francis, Lorraine; Cheng, Xiang | Using confocal microscopy, we image the motion of fluorescent-labeled bacteria and implement an in-house tracking algorithm to obtain the speeds of bacteria. | Session 4: Active Matter in Complex Environments |

72 | Theoretical Framework to Describe Traveling Waves of Bacteria in Porous Media | Amchin, Daniel; Bhattacharjee, Tapomoy; Kratz, Felix; Ott, Jenna; Datta, Sujit | To address this gap in knowledge, we use confocal microscopy to directly track bacteria deep inside transparent porous media. | Session 4: Active Matter in Complex Environments |

73 | The role of diversity for collective bacterial migration through diverse environments | Mattingly, Henry; Emonet, Thierry | We recently showed that diverse cells can travel together in the expanding front by sorting themselves by chemotactic ability, which compensates for their differences by matching ability to the local chemotactic signal (Fu, Kato et al. | Session 4: Active Matter in Complex Environments |

74 | Light-Sensing Microbes in Complex Geometries: Surface Adhesion, Gliding Motility and Self-Organization | Fragkopoulos, Alexandros; Till, Sebastian; Raum, Sebastian; Catalan, Rodrigo; Baeumchen, Oliver | Based on cell tracking and statistical analysis, we study the surface adsorption and gliding motility of light-sensing microbes and demonstrate how surface gliding, in conjunction with cell-cell interactions, may control the emergence of microbial self-organization in confinement. | Session 4: Active Matter in Complex Environments |

75 | Active Brownian filaments: deviations from blob scaling theory and dynamics inside cavities | Das, Shibananda; Cacciuto, Angelo | Via a numerical study we establish how the standard blob scaling theory representations of a polymer breaks down when dealing with active polymers under confinement. | Session 4: Active Matter in Complex Environments |

76 | Fitness of cell colonies to navigate obstacles | Li, Bo; Yu, Sun-Min; Cho, Yoon-Kyoung; Granick, Steve | Stretched leader cells trigger acceleration of the whole group; the resulting velocity difference, in turn, reinforces stretching of the leaders and establishes positive feedback between cell morphology and mechanical strength, as we confirm by direct visualization of F-actin expression, cadherin localization, and the shapes of cells and their nuclei. | Session 4: Active Matter in Complex Environments |

77 | Anomalous size-dependence of bacterial diffusion in a micropillar array | Chopra, Pooja; Quint, David; Gopinathan, Ajay; Liu, Bin | We develop an agent-based model that purely relies on the geometry of the micropillars, bacteria and residency time. | Session 4: Active Matter in Complex Environments |

78 | Colloidal random-walkers for probing anomalous diffusion in heterogeneous micro-environments | Karani, Hamid Reza; Kokot, Gašper; Vlahovska, Petia | Building on our recently developed tunable colloidal random walker, we combine microfluidics experiments with theory to characterize and quantify the degree of anomalous diffusion. | Session 4: Active Matter in Complex Environments |

79 | Transport properties of circle microswimmers in heterogeneous media | Chepizhko, Oleksandr; Franosch, Thomas | Here, we investigate a model for a single circle swimmer exploring a two-dimensional disordered array of impenetrable obstacles. | Session 4: Active Matter in Complex Environments |

80 | Escape of a Nanoparticle from Cavities in a Porous Matrix | Wu, Haichao; Greydanus, Benjamin; Schwartz, Daniel | Here, we used a three-dimensional (3D) tracking method to explicitly visualize the process of passive Brownian nanoparticle and self-propelled Janus particle diffusion within periodic porous nanostructures. | Session 4: Active Matter in Complex Environments |

81 | The Physics of Cold Active Matter: on how time-independent disorder affects the motion of self-propelled particles | Peruani, Fernando | Despite this, most experimental and theoretical efforts have focused on homogeneous media and the impact of environmental heterogeneities on individual and collective properties of active systems has remained, up to recently, unexplored. | Session 4: Active Matter in Complex Environments |

82 | The motion of active colloids and their induced flow field at fluid interfaces | Molaei, Mehdi; Chisholm, Nicholas; Deng, Jiayi; Yao, Tianyi; Crocker, John; Stebe, Kathleen | We consider an ideal flat "clean" interface characterized solely by a uniform interfacial tension. | Session 4: Active Matter in Complex Environments |

83 | Hydrodynamic attraction of bacteria to gas and liquid interfaces | Ahmadzadegan, Adib; WANG, Shiyan; Vlachos, Pavlos; Ardekani, Arezoo | We develop a new theory based on Brownian dynamics including hydrodynamics and short-range physio-chemical interactions between bacteria and surfactant-laden interfaces and explain our experimental findings. | Session 4: Active Matter in Complex Environments |

84 | Non-Markovian active droplets | IZZET, Adrien; Zakine, Ruben; Vanden-Eijnden, Eric; Brujic, Jasna | Here we show that the trajectories of larger droplets display complex non-Markovian behaviors, such as self-interacting dynamics, that require a more complicated model than rotational diffusion. | Session 4: Active Matter in Complex Environments |

85 | Stigmergy in active furrowers | Imaran, MD; Prabhakar, Ranganathan; Chelakkot, Raghunath; Inamdar, Mandar | We attempt to explain our observations through a coarse-grained, but general, model of stigmergy. | Session 4: Active Matter in Complex Environments |

86 | Slip and distance effects on the self-propulsion of catalytic microswimmers close to a wall | Ketzetzi, Stefania; de Graaf, Joost; Doherty, Rachel; Kraft, Daniela | In this talk, we will present quantitative measurements of the effect of the substrate on the velocity of Pt-coated model microswimmers. | Session 4: Active Matter in Complex Environments |

87 | Measuring chaotic advection in a biological active nematic in viscous environments | Tan, Amanda; Mitchell, Kevin; Hirst, Linda | We investigate how the external changes from viscosity affect various quantitative parameters from chaotic advection theory, such as local fluid stretching rates within the network and topological entropy calculated from defect braiding. | Session 4: Active Matter in Complex Environments |

88 | Hydrodynamic interactions between passive colloids in an active bacterial bath | Gokhale, Shreyas; Li, Junang; Solon, Alexandre; Gore, Jeffrey; Fakhri, Nikta | By quantifying spatial velocity correlations and the short time pair diffusivity tensor for colloids, we show that bacterial motion leads to partial screening of long-ranged hydrodynamic interactions. | Session 4: Active Matter in Complex Environments |

89 | Self-organization of swimmers drives long-range fluid transport in bacterial colonies | Haoran, Xu; Dauparas, Justas; Das, Debasish; Lauga, Eric; Wu, Yilin | Here, we show that motile cells in sessile colonies of peritrichously flagellated bacteria can self-organize into two adjacent, centimeter-scale motile rings surrounding the entire colony. | Session 4: Active Matter in Complex Environments |

90 | Linear instability and nonlinear dynamics of droplets and layers of active fluid | Stein, David; Young, Yuan-nan; Shelley, Michael | In this work we focus on the effects of surface tension on the stability and nonlinear dynamics in droplets and layers of active fluid. | Session 4: Active Matter in Complex Environments |

91 | Swimming of active drops in confinements with external flows | Dey, Ranabir; Buness, Carola M.; Jin, Chenyu; Maass, Corinna | We feel that understanding such swimming behaviour of active matter will make significant contribution towards better comprehension of certain important biological phenomena. | Session 4: Active Matter in Complex Environments |

92 | Examining collective mechanical properties of fish schools using projected light fields | Puckett, James; Pokhrel, Aawaz | Models have shown that simple local interactions between individuals gives rise to the emergent self-organized macroscopic states such as flocks, swarms, or schools. | Session 4: Active Matter in Complex Environments |

93 | Spatial-temporal organization of bacterial suspensions under confinement | Aronson, Igor | We present experimental and theoretical studies on the expansion of highly concentrated bacterial droplets into an ambient bacteria-free fluid. | Session 4: Active Matter in Complex Environments |

94 | Trapping of microswimmers in vortex flows | Berman, Simon; Mitchell, Kevin | We propose heteroclinic bifurcations between swimming fixed points as a general mechanism for the creation of stable swimmer trajectories. | Session 4: Active Matter in Complex Environments |

95 | Sensorimotor processing and navigation in confined microswimmers | Bentley, Samuel; Anagnostidis, Vasileios; Gielen, Fabrice; Wan, Kirsty | We present a novel microfluidic platform which allowed us for the first time to monitor and analyse algal cell motility over hours, and even developmental timescales. | Session 4: Active Matter in Complex Environments |

96 | Topographical guidance of highly-motile cells using cell-sized features | Wondergem, Joeri; Schakenraad, Koen; Witzel, Patrick; Mytiliniou, Maria; Holcman, David; Heinrich, Doris | Here, we focused on a larger scale, and studied the influence of cell-sized obstacles on highly-motile, persistent cell migration. | Session 4: Active Matter in Complex Environments |

97 | Quenching active matter using light: Light mediated motility in swarming Serratia marcescens | Gopinath, Arvind; Yang, Junyi; Patteson, Alison; Arratia, Paulo | Complementing our experimental results, we propose and analyze a minimal Brownian dynamics model to study the escape of bacteria from the exposed region before they are completely immobilized and trapped. | Session 4: Active Matter in Complex Environments |

98 | Submerged micro-strucutures generate a soft boundary effect on active nematic flows | Khaladj, Dimitrius; Tan, Amanda; Hirst, Linda | We study the behavior of an active nematic microtubule system confined by submerged complex geometries. | Session 4: Active Matter in Complex Environments |

99 | Lattices by design: exploring long-ranged interactions with gradient sensing droplets | Molina, Anton; Prakash, Manu; Kumar, Shailabh | Here, we develop exotic lattice systems that exploit the tools of photolithography to fabricate arbitrary patterns of hydrophobic boundaries, enabling us to experimentally manipulate the geometry in which long-ranged degrees of freedom interact. | Session 4: Active Matter in Complex Environments |

100 | Arresting Active Spinning Particle Coarsening in Passive Media via Actuation Protocols | Steimel, Joshua; Tollefsen, Ryan; Alexander-Katz, Alfredo | We present a novel approach which allows the control of coarsening behavior and resultant characteristic domain size via modulation of the activity actuation protocol. | Session 4: Active Matter in Complex Environments |

101 | Flocking Transition in a Self-propelled Particle Model Using Experimental Motility Conditions | Lyles, Jelani; Yanka, Paul; Tung, Chih Kuan; Sussman, Daniel; Manning, M. Lisa | Flocking transition has been studied using self-propelled particle models for decades. | Session 4: Active Matter in Complex Environments |

102 | Re-entrant self pumping in confined active fluids | Varghese, Minu; Baskaran, Arvind; Hagan, Michael; Baskaran, Aparna | In this talk, I will discuss the origin of this phenomenon using an active hydrodynamic theory. | Session 4: Active Matter in Complex Environments |

103 | Tunable self-organization of swimming magnetic bacterial suspensions | Wijesinghe, Hiran; Pierce, Christopher; Mumper, Eric; Lower, Brian; Lower, Steven; Sooryakumar, Ratnasingham | We present population-level self-organization in a flagellated magnetic bacterial suspension of Magnetospirillum magneticum (AMB-1) that is amenable to experimental control using programmable fields. | Session 4: Active Matter in Complex Environments |

104 | Dynamics of 2D Active Nematics Confined in an Annulus | Joshi, Chaitanya; Zarei, Zahra; Norton, Michael; Fraden, Seth; Baskaran, Aparna; Hagan, Michael | In this talk, we will discuss a theoretical and computational study of 2D active nematics confined to an annulus. | Session 4: Active Matter in Complex Environments |

105 | Self-organization of bacterial active matter in space and time | Liu, Song; Wu, Yilin | Here we found that tuning the rheological properties of bacterial active fluids enables large-scale spatial and temporal self-organization. | Session 4: Active Matter in Complex Environments |

106 | Nonequilibrium phases in mixtures of active and passive particles | Li, Junang; Gokhale, Shreyas; Solon, Alexandre; Gore, Jeffrey; Fakhri, Nikta | Here, we map the computational phase diagram of a binary mixture of active and passive particles as a function of orientational interactions and Peclet number and observe new emergent behavior of dynamical clustering and a polar band of active particles. | Session 4: Active Matter in Complex Environments |

107 | Tuning the self-organization of confined active particles by the steepness of the trap | Rana, Shubhashis; Samsuzzaman, Md.; Saha, Arnab | We consider the collective dynamics of self-propelling particles in two dimensions. | Session 4: Active Matter in Complex Environments |

108 | Active matters: broken symmetries and response | Dal Cengio, Sara; Levis, Demian; Pagonabarraga, Ignacio | We address the question of how interacting active systems in a non-equilibrium steady-state respond to an external perturbation. | Session 4: Active Matter in Complex Environments |

109 | Spontaneous symmetry breaking induced unidirectional rotation of a chain-grafted colloidal particle in the active bath | TIAN, WENDE | Here we show, by simulations, that a chain-grafted disk-like colloidal particle can rotate unidirectionally and hence output work when immersed in a thin film of active particle suspension. | Session 4: Active Matter in Complex Environments |

110 | Temperature dependence of microtubule-based active fluid | Bate, Teagan; Jarvis, Edward; Varney, Megan; Wu, Kun-Ta | This temperature-dependent speed was reported to follow the Arrhenius Law. | Session 4: Active Matter in Complex Environments |

111 | Elasticity mediated attraction between active polar particles | Gupta, Rahul; Kant, Raushan; Soni, Harsh; Sood, Ajay; Ramaswamy, Sriram | We present a theory for this active attraction based on the forcing imposed by the motile rods on the crystalline medium of beads, and the action of the medium on the rod orientation. | Session 4: Active Matter in Complex Environments |

112 | Light-regulated swimming motility induces cell aggregation in confinement | Fragkopoulos, Alexandros; Vachier, Jérémy; Frey, Johannes; Le Menn, Flora-Maud; Wilczek, Michael; Mazza, Marco; Baeumchen, Oliver | We observe that a suspension of freely swimming C hlamydomonas reinhardtii cells, a unicellular soil-dwelling microalgae and a model organism of puller-type microswimmers, forms such large-scale aggregations under confinement in specific light conditions. | Session 4: Active Matter in Complex Environments |

113 | Undulatory intruder dynamics in water-saturated granular beds | Kudrolli, Arshad; Huynh, Trinh | We will report an investigation of active intruder dynamics through complex media with {\texit Lumbriculus variegatus} moving through water saturated granular beds which are refractive index matched to enable observation of their motion inside the bed. | Session 4: Active Matter in Complex Environments |

114 | Pressure of bacterial suspensions on confining walls and freely moving chains | Ma, Xiaolei; Guo, Shuo; Xu, Xinliang; Cheng, Xiang | In particular, mechanical pressure, a state variable in equilibrium systems, shows a nontrivial dependence on system boundary as well as specific measurement methods. | Session 4: Active Matter in Complex Environments |

115 | Active surfers on a vibrating bath: self-propulsion and interactions | Oza, Anand; Ho, Ian; Pucci, Giuseppe; Harris, Daniel | We present a combined experimental and theoretical investigation of a newly discovered active matter system consisting of objects floating on a vertically vibrating fluid bath. | Session 4: Active Matter in Complex Environments |

116 | Nutrient depletion thresholds in 3D printed cell assemblies | Morley, Cameron; Angelini, Thomas | In this talk, we will describe experiments that test the 200 micron rule in which we 3D print controlled distributions of hepatocytes into 3D culture medium made from jammed granular microgels. | Session 4: Active Matter in Complex Environments |

117 | Control of Active Nematics through Friction | Thijssen, Kristian; Metselaar, Luuk; Shendruk, Tyler; Doostmohammadi, Amin; Yeomans, Julia | Our work demonstrates novel methods to control active matter without the introduction of invasive solid bounding walls. | Session 4: Active Matter in Complex Environments |

118 | Inertial effects on trapped active matter | Sandoval-Espinoza, Mario; Gutierrez, Lorenzo | Here, we analytically find the effect of inertia on the mean-square displacement and mean-square speed of a system of inertial active Brownian particles subject to a weak and a strong harmonic trap. | Session 4: Active Matter in Complex Environments |

119 | Wiggling arthropods induce flow in granular materials | Kendall, Melia; Chen, Shih-Yuan; Daniels, Karen | Just as heating a viscous fluid causes its viscosity to drop, we observe that the introduction of active particles into a passive granular material can increase its flowability. | Session 4: Active Matter in Complex Environments |

120 | Comparison of different approaches to single particle tracking of enzymes displaying enhanced diffusion | Xu, Mengqi; Ross, Jennifer | We found that while the overall mobility of enzyme is improved by 2-3 folds at saturated substrate concentration, the mode of diffusion remains Brownian. | Session 5: Composite Active Materials |

121 | Vortices, space-time braids and loops in the membrane of a living cell. | Liu, Jinghui; Miller, Pearson; Dunkel, Jörn; Fakhri, Nikta | Here, we show a defect-mediated turbulence underlies the complex wave propagation patterns of Rho-GTP signaling proteins on the membrane of starfish oocytes. | Session 5: Composite Active Materials |

122 | Creation and evolution of defects in composite biopolymer nematics | Weirich, Kimberly; Zhang, Rui; De Pablo, Juan | Here we present a composite structured liquid formed from biopolymers of distinct rigidities, actin and DNA. | Session 5: Composite Active Materials |

123 | Microtubule based composite active matter | Dogic, Zvonimir | Microtubule based composite active matter | Session 5: Composite Active Materials |

124 | Information and motility exchange in collectives of active particles | Paoluzzi, Matteo; Leoni, Marco; Marchetti, M Cristina | In a minimal model of information exchange, we have studied numerically run-and-tumble runners with an additional two-state internal variable that specifies their motile or nonmotile state. | Session 5: Composite Active Materials |

125 | Corralling Active Brownian Particles With "Active Billiard" Particles | Nilles, Alexandra; Pervan, Ana; Berrueta, Thomas; Murphey, Todd | We will present extensions of this theoretical approach to statistical models of our example active matter system, with a focus on developing strategies for control. | Session 5: Composite Active Materials |

126 | Spontaneous demixing of mixed active-passive suspensions. | Polin, Marco; Williams, Steven; Jeanneret, Raphaël | We show that this can be used to induce the system to de-mix spontaneously. | Session 5: Composite Active Materials |

127 | Unifying descriptions of phase separation in multi-component driven, steady-state systems. | Watson, Garrett; Luijten, Erik | Combined experimental and computational work has shown that a nonequilibrium driven system of Janus particles exhibits phase behavior that is accurately described by the standard Ising model. | Session 5: Composite Active Materials |

128 | Phase Diagram of a 2D system of Granular Self-propelled Particles | Shen, Zhejun; Menon, Narayanan | We report experiments on the phase behaviour of granular squares as a function of number density and activity. | Session 5: Composite Active Materials |

129 | Irreversibility in biological active matter | Fakhri, Nikta | In this talk, I will address the question: why measure dissipation in such nonequilibrium systems? | Session 5: Composite Active Materials |

130 | Efficient Simulation of Self-Avoiding Walks | Clisby, Nathan | I will describe the key geometric intuition behind this implementation, and outline its application to the calculation of various quantities for self-avoiding walks, such as the critical exponents ν = 0.58759700(40) [1] and γ = 1.156 953 00(95) [2] for three-dimensional walks, and the study of logarithmic corrections for four-dimensional walks [3]. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

131 | Smart random walks for accelerated Monte Carlo simulations | Li, Ying Wai; Farris, Alfred; Eisenbach, Markus | We propose strategies to mitigate these problems. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

132 | Replica-Exchange Wang-Landau Simulations of Lattice Peptide Aggregation | Wilson, Matthew; Shi, Guangjie; Wuest, Thomas; Landau, David; Schmid, Friederike | In order to analyze the general, qualitative statistical physics of such systems as they transition from dissolved to aggregated crystalline states, we use the H0P lattice protein model 1,2 simulated on simple cubic and face centered cubic lattices. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

133 | A Combinatorial Perspective on Ising Model Hysteresis | Guan, Yuling; Li, Ang; Haas, Stephan; Thittamaranahalli, Satish; Koenig, Sven | In this work, we apply combinatorial methods used extensively in Artificial Intelligence (AI) to understand Ising model hysteresis. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

134 | Steering a solute between coexisting solvation states: calculation of free energy differences in the adaptive resolution method | Heidari, Maziar; Cortes Huerto, Robinson; Potestio, Raffaello; Kremer, Kurt | In this context, we present a method to calculate solvation free energies (SFEs) [1]. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

135 | Effects of Lattice Constraints in Coarse-Grained Protein Models: A Wang-Landau Study | Farris, Alfred; Seaton, Daniel; Landau, David | We investigate Crambin in the context of the hydrophobic polar (HP) lattice model [2] and the semi-flexible H0P lattice model [3] — an extension to the HP model in which an additional monomer type and an interaction accounting for chain-stiffness are included. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

136 | The self-consistent multi scale simulation of complex fluids | Kobayashi, Hideki; Rohrbach, Paul; Scheichl, Robert; Wilding, Nigel; Jack, Robert | We present a method that uses self-consistent simulation of coarse grained and fine-grained models, in order to analyse properties of physical systems. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

137 | Equilibrium density calculation of generalized Muttalib-Borodin ensembles. | Yadav, Swapnil; Alam, Kazi; Muttalib, Khandker; Wang, Dong | We numerically solve the Riemann-Hilbert (RH) problem associated with the equilibrium density of γ-ensembles for a range of γ between 0 and 1. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

138 | Enhanced sampling of cylindrical microphase separation via shell-averaged bond-orientational order parameter | Ha, Min Young; Seo, Bumjoon; Lee, Won Bo | In order to drive this transition in a particle-based simulation, we introduce a shell-based bond-orientational order parameter that selectively responds to the mesoscopic order of the hexagonal cylinder phase. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

139 | Probing predictions due to the nonlocal interface Hamiltonian: Monte Carlo simulations of interfacial fluctuations in Ising films | Pang, Lijun; Landau, David; Binder, Kurt | We studied an L×L×D slab geometry with oppositely directed surface fields so that a single interface is formed and can undergo a localization-delocalization transition. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

140 | Integer lattice gases, Molecular Dynamics Lattice Gas and an alternative derivation of the lattice Boltzmann method | Wagner, Alexander; Seekins, Noah; Parsa, Reza; Pachalieva, Aleksandra | We report on recent progress in two related areas: 1) that lattice Boltzmann methods can be derived rigorously from Molecular Dynamics simulations through a coarse graining approach (MDLG) that maps Molecular Dynamics onto an integer lattice gas. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

141 | Machine-learning approach to real-space renormalization of the 2D Potts model | Chan, Chak Ming; Tian, Liang; Tang, Lei-Han | Here we implement a recently proposed deep-learning scheme that maps configurations at successive scales to each other[3]. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

142 | Progress in stochastic coupled Molecular Dynamics and Spin Dynamics | Thibaudeau, Pascal | Progress in stochastic coupled Molecular Dynamics and Spin Dynamics | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

143 | Quantum-accurate multiscale modeling of ramp compressions and magneto-elastic phase transitions in iron | Tranchida, Julien; Cangi, Attila; Wood, Mitchell; Thompson, Aidan; Desjarlais, Michael | We achieved this by constructing a magneto-elastic Hamiltonian. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

144 | Absolute entropy calculation from liquid state correlation functions | Widom, Michael; Gao, Michael | We demonstrate the accuracy of the approach by calculating the absolute entropy of liquid aluminum entirely from first principles, and demonstrate excellent agreement with experimental data. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

145 | Absolute free energies from ab-initio calculation: application to phase stability of liquid metal alloys | Huang, Yang; Gao, Michael; Widom, Michael | We apply this method to model the phase behavior of the liquid alkali metal alloy Li-Na, which is known to phase separate, compared with Na-K, which exhibits a eutectic. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

146 | Investigation of Fe by means of atomistic spin dynamics coupled with ab initio molecular dynamics simulations | Gambino, Davide; Alling, Bjorn | The applicability of the method has been shown in the study of CrN, a semiconducting system with well localized magnetic moments. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

147 | Spin dynamics simulations on Surface for a nanoscale Heisenberg antiferromagnet | Hou, Zhuofei | In this study, we applied the same simulation techniques to the nanoscale classical Heisenberg an- tiferromagnet we studied before for studying spin dynamic behavior on the surfaces of a nanoscale antiferromagnet. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

148 | Effective diffusion in rough potential energy landscapes | Gray, Thomas | We use the configurational partition function to amend Zwanzig’s formalism, and resolve the disagreement. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

149 | Stefan–Maxwell diffusivities extracted from molecular dynamics simulations via Onsager’s regression hypothesis | Monroe, Charles; Zyskin, Maxim | We report on our development of a method to measure macroscopic diffusion coefficients in silico by analysing molecular-dynamics (MD) data. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

150 | Machine Learning the Effective Hamiltonian in High Entropy Alloys with Large DFT Datasets | Liu, Xianglin; Zhang, Jiaxin; Wang, Yang; Eisenbach, Markus | To solve this problem, we use the atomic local energy as the target variable, and harness the power of the linear-scaling DFT method to obtain large DFT data sets. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

151 | Quantifying the disassembly of viral capsids from a multiscale molecular simulation approach | Vargas Guzman, Horacio Andres; Cooper, Christopher; Poma, Adolfo | Here, we propose a methodology to analyze the disassembly process of viral capsids quantitatively. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

152 | Exploring the Potential of Parallel-Biasing in Flat Histogram Methods | Huang, Shanghui; Whitmer, Jonathan | In this study, we systematically examine how parallel biasing affects convergence of free energy landscapes along each variable relative to standard methods, and the effectiveness of the parallel biasing strategy for addressing common bottlenecks in the use of advanced sampling to calculate free energies. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

153 | Superfluidity and dimensional cross-over in Quasi-1D systems | Bollmark, Per; Kantian, Adrian | We consider a 3D array of one-dimensional repulsive bosons. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

154 | Clusters and Surfaces in Reactive Atmospheres at Realistic Conditions: Beyond the Static, Monostructure Description | Ghiringhelli, Luca | Here, I present a set of methods for the sampling of the configurational space of (nano)clusters and surfaces in reactive (e.g., O2, H2) atmosphere, in the canonical and grand-canonical ensembles, aiming at the unbiased determination of the phase diagrams as function of temperature and partial pressure of the reactive gas. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

155 | Langevin dynamics for linear scaling quantum Monte Carlo | Barros, Kipton; Cohen-Stead, Benjamin; Batrouni, George; Scalettar, Richard | We discuss recent advances in quantum Monte Carlo (QMC) sampling for models of interacting electrons. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

156 | Assessing the Quality of Approximate Quantum Dynamics in Condensed Phase via Sum Rules | Hernandez de la Pena, Lisandro | In this work, we discuss a general protocol for analyzing the quality of approximate quantum time correlation functions of non-trivial systems in many dimensions. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

157 | Ground State Properties of the Diluted Sherrington-Kirkpatrick Spin Glass | Boettcher, Stefan | In a numerical study of dilute versions of the Sherrington-Kirkpatrick mean-field spin glass at temperature T=0, we approximate the energies of ground states of ensembles at variable dilution with high accuracy using the Extremal Optimization heuristic [1,2]. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

158 | Evidence of Information Limitations in Bottom-Up Coarse-Graining Models | Khot, Aditi; Shiring, Stephen; Savoie, Brett | In this talk, I will present recent results on an automated methodology to parameterize CG models from quantum chemistry calculations. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

159 | Hilbert Entropy for the Simple and Precise Measurement of Complexity of Two or Higher Dimensional Arrays | Kwon, Seok Joon | To address this problem, we introduce space-filling curve (SFC)-based approach. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

160 | Computation of correlation functions and various statistical quantities of different types of Random Matrix Ensembles | Alam, Kazi; Yadav, Swapnil; Muttalib, Khandker | We propose a method to compute correlation functions for biorthogonal random matrix ensembles with arbitrary confining potential, by inverting the associated Hankel moment-matrix. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

161 | A Parameter Free Genetic Algorithm for Estimating the Dynamic Structure Factor at Zero and Finite Temperature | Nichols, Nathan; Del Maestro, Adrian; Prisk, Timothy; Warren, Garfield; Sokol, Paul | Benchmarks are presented for models where the dynamic structure factor is known exactly and we report new results for quantum Monte Carlo simulations of confined superfluid helium at low temperatures. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

162 | Study of strongly correlated materials at finite temperature with density matrix embedding theory | Sun, Chong; Chan, Garnet | In this talk, the finite temperature extension of ground state DMET, i.e., FT-DMET, is introduced. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

163 | Two-dimensional translation-invariant probability distributions: approximations, characterizations and no-go theorems | Wang, Zizhu; Navascués, Miguel | In cases where the local variables can only take a small number d of possible values, we completely solve the marginal or membership problem for nearest-neighbors distributions ( d=2,3) and nearest and next-to-nearest neighbors distributions ( d=2). | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

164 | Stars & Bars: A Compact Representation for Bosonic Occupation States | Usadi, Caleb; Barghathi, Hatem; Del Maestro, Adrian | Representing basis vectors using the combinatoric stars and bars method allows each basis state to be stored as a single 64 bit integer. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

165 | Telediagnostics of Heterogeneous Plasma properties of combustion products according to the characteristics of its braking radiation. | POTOMKIN, MYKOLA; MARENKOV, VOLODYMYR | New physical model for braking radiation of HP formations, based on the statistical approach of quasi-neutral cell for the description of electron-ion processes in the HP formations is proposed. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

166 | Bosonic entanglement crossover from groundstate scaling to volume laws | Miao, Qiang; Barthel, Thomas | The harmonic lattice model describes a system of coupled harmonic oscillators and is a lattice regularization for free scalar field theories. | Session 6: Computational Methods for Statistical Mechanics: Advances and Applications |

167 | Understanding the control process for non-equilibrium systems using scaling theory | ., Priyanka; Tauber, Uwe; Pleimling, Michel | Control theory is a widely used tool in engineering to develop controlled, stable models of dynamical systems. | Session 7: Control of Noisy Nonlinear Dynamical Systems |

168 | Molecular machinery: quantifying the energetic cost of controlling nanoscale biological systems | Large, Steven; Sivak, David | In this talk I will discuss our recent efforts to address some of these questions, making use of tools from nonequilibrium thermodynamics to quantify the energetic costs of driving strongly fluctuating systems. | Session 7: Control of Noisy Nonlinear Dynamical Systems |

169 | Effects of structural and cellular heterogeneity on the control of nonlinear biological oscillator networks | Balakrishnan, Narasimhan; Bagheri, Neda | In this work, we study the functional consequences of structural and cellular heterogeneity (extrinsic noise) on the control of these oscillator networks. We present two optimal control problems, those of modifying the phase of the population of these oscillators in either minimal time, or using minimum effort. | Session 7: Control of Noisy Nonlinear Dynamical Systems |

170 | Corazon espinado: microelectrode closed-loop control in cardiac tissue | Herndon, Conner; Fenton, Flavio | In this talk, I will discuss our development of a closed-loop control scheme to experimentally address predictions made by the restitution hypothesis via high resolution microelectrode recordings of transmembrane voltages in zebrafish, frog, and rabbit hearts. | Session 7: Control of Noisy Nonlinear Dynamical Systems |

171 | Induction of spatio-temporal spiral defects in an inhomogeneous stochastic May-Leonard system | Serrao, Shannon; Tauber, Uwe | We study the induction of spiral defects in an inhomogeneous two-dimensional Monte Carlo toroidal lattice simulation of the stochastic three-species May-Leonard model with asymmetric predation rates. | Session 7: Control of Noisy Nonlinear Dynamical Systems |

172 | Extracting important parameters from dynamical systems models through coarse-graining | Kantroo, Pranav; Machta, Benjamin | Here we utilize the Fisher Information Metric formalism to identify which parameter combinations influence observables even for coarse-grained data. | Session 7: Control of Noisy Nonlinear Dynamical Systems |

173 | NUMERICAL INVESTIGATION OF SIGNAL AMPLIFICATION VIA VIBRATIONAL RESONANCE IN A CHUA’S CIRCUIT. | Laoye, John; Roy-Layinde, Taiwo; Omoteso, Kehinde; Odunaike, Rasaki | In this paper, we numerically investigated the occurrence of Vibrational Resonance in a modified Chua’s oscillator with a smooth nonlinearity, described by a cubic polynomial. | Session 7: Control of Noisy Nonlinear Dynamical Systems |

174 | Resonance Coherence Optimization of Structure Formation in Nanofilms Undergoing Thermocapillary Instability | Chang, Yi Hua; Troian, Sandra | In this talk, we examine a linear instability in molten nanofilms undergoing thermocapillary growth leading to structure formation resembling 3D microlens arrays. | Session 7: Control of Noisy Nonlinear Dynamical Systems |

175 | An elementary renormalization-group approach to the Generalized Central Limit Theorem and Extreme Value Distributions | Amir, Ariel | An elementary renormalization-group approach to the Generalized Central Limit Theorem and Extreme Value Distributions | Session 7: Control of Noisy Nonlinear Dynamical Systems |

176 | Nucleation in Granular Media Undergoing Cyclic Shear | Jin, Weiwei; O’Hern, Corey; Radin, Charles; Shattuck, Mark; Swinney, Harry | In this work, we carry out discrete element method simulations to determine the contributions of friction and gravity to crystallization of granular materials during cyclic shear. | Session 8: Crystallization, Jamming, and Glassy Behavior |

177 | Structural and Mechanical Characteristics of the Disorded-Ordered Transition in Mechanically Stable Sphere Packings | Mizuno, Hideyuki; Saitoh, Kuniyasu; Silbert, Leo | Using the discrete element method, we generate mechanically stable sphere packings in three dimensions that span a wide range in structural order, ranging from fully amorphous through to (quasi) ordered structures, as characterized by the globally averaged bond orientational order parameter. | Session 8: Crystallization, Jamming, and Glassy Behavior |

178 | Isostatic, ordered disk packings | Tuckman, Philip; VanderWerf, Kyle; Shattuck, Mark; O’Hern, Corey | In this work, we show that isostatic, ordered jammed packings of nearly monodisperse disks also occur over a range of packing fractions, φ O, min < φ J < φ xtal, where φ xtal ≈ 0.907 is the packing fraction for a triangular lattice. | Session 8: Crystallization, Jamming, and Glassy Behavior |

179 | Athermal fluctuations in disordered crystals | Acharya, Pappu; Sengupta, Surajit; Chakraborty, Bulbul; Ramola, Kabir | We analyze the fluctuations in particle positions and inter-particle forces in disordered jammed crystals in the limit of the weak disorder. | Session 8: Crystallization, Jamming, and Glassy Behavior |

180 | Mechanically stable sphere packings at arbitrarily low densities | Dennis, Robert; Corwin, Eric | The previously known lowest density packings are constructed by diluting simple crystals, but we present a new construction based on rigid bridges. | Session 8: Crystallization, Jamming, and Glassy Behavior |

181 | Real-space renormalization of randomly vacated lattices: a renormalization group for jamming? | Clark, Abe | Here, I present a candidate for such a scheme, using a block-spin-like transformation of a randomly vacated lattice of grains. | Session 8: Crystallization, Jamming, and Glassy Behavior |

182 | Critical scaling for yield is independent of distance to isostaticity | Thompson, Jacob; Clark, Abe | Here, using simulations of quasi-statically sheared soft sphere packings, we observe critical behavior near μ=μc, with a diverging length scale ξ ~ | μ – μ c | -ν, that is independent of distance to isostaticity over a wide range of p. | Session 8: Crystallization, Jamming, and Glassy Behavior |

183 | The Influence of the Wall on Confined Random Packing of Rods | Jiang, Jason; Freeman, Julian; Weeks, Eric | In this current work, we coat the inner vertical surface of the containers with sandpaper to change the enhance friction between the wall and the rods. | Session 8: Crystallization, Jamming, and Glassy Behavior |

184 | Two-stage jamming in semiflexible polymers and fibers | Dietz, Joseph Fox; Hoy, Robert | We find that jamming in model freely rotating polymers with bond angle θ 0 occurs in two stages. | Session 8: Crystallization, Jamming, and Glassy Behavior |

185 | Low frequency vibrations of deformable particles | Wang, Dong; Boromand, Arman; Murrell, Michael; Shattuck, Mark; O’Hern, Corey | In this work, we calculate the spectrum of vibrational modes from the eigenvalues of the dynamical matrix for truly deformable particles at jamming onset as a function of the shape parameter A = p2/(4πa), where p is the perimeter and a is the area of the particle. | Session 8: Crystallization, Jamming, and Glassy Behavior |

186 | Structure and dynamics during training of memory in jammed packings | Graham, Ian; Liu, Andrea | We use persistent homology to characterize the structure. | Session 8: Crystallization, Jamming, and Glassy Behavior |

187 | Measuring the Granular Density of Modes in 3D via Impact | Owens, Eli; Blue, Sydney; Wright, Salem | In this work, we present an experimental method for acoustically measuring the granular density of modes using a single impact event to excite vibrational modes in the granular material. | Session 8: Crystallization, Jamming, and Glassy Behavior |

188 | Quenching to field-stabilized magnetization plateaus in the unfrustrated Ising antiferromagnet | Iaizzi, Adam; Kao, Ying-Jer | We study the square-lattice Ising antiferromagnet in a uniform field using single spin flip Metropolis algorithm dynamics. | Session 8: Crystallization, Jamming, and Glassy Behavior |

189 | How to Define Electric Potential in a Polarized Polymer Electrolyte Why is it Important? | Balsara, Nitash | We apply this theory to polymer electrolytes that are examined under a constant direct current (dc). | Session 9: Electric Polarization and Polymer Physics |

190 | The impact of chemical modification on charge injection at metal/polyolefin interfaces | Wang, Yiyuan; Unge, Mikael; Laihonen, Sari; Mostofi, Arash | In this work, we study charge injection at metal/polymer interfaces for two polymers commonly used in high-voltage applications, namely polyethylene (PE) and polypropylene (PP). | Session 9: Electric Polarization and Polymer Physics |

191 | Field-theoretic study of salt-induced order and disorder in a polarizable diblock copolymer | Grzetic, Douglas; Delaney, Kris; Fredrickson, Glenn | We study a salt-doped polarizable symmetric diblock copolymer using a recently-developed field theory that self-consistently embeds dielectric response, ion solvation and van der Waals (vdW) attractions via the attachement of classical Drude oscillators and/or fixed dipoles to the constituent fluid elements. | Session 9: Electric Polarization and Polymer Physics |

192 | Nanostructure and Local Dynamic Effects on Ionic Conductivity of Polymer-Grafted Nanoparticles in Ionic Liquids | Liu, Siqi; Tyagi, Madhusudan; Akcora, Pinar | In this talk, I will present our recent results about structures and dynamics of poly(methyl methacrylate) (PMMA)-grafted iron oxide nanoparticles in (1-hexyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide) (HMIM-TFSI) / solvent mixtures. | Session 9: Electric Polarization and Polymer Physics |

193 | Capacitance of films containing polymerized ionic liquids | Kumar, Rajeev; bocharova, Vera; Mahalik, Jyoti; Silmore, Kevin | To develop an understanding of electric field-induced transformations of electrode-polymer interfaces, we have studied electrified interfaces of an imidazolium based polymerized ionic liquid (PolyIL) using combinations of broadband dielectric spectroscopy (BDS), specular neutron reflectivity and simulations based on the Rayleigh dissipation function formalism. | Session 9: Electric Polarization and Polymer Physics |

194 | Comparing Stockmayer Fluid Simulation and Experiment: Ion Solvation with Permanent Dipoles | Shock, Cameron; Nakamura, Issei; Frischknecht, Amalie; Stevens, Mark | In this talk, we validate our model concept by considering monovalent and divalent ions dissolved in various non-polymeric solvents, such as water and methanol. | Session 9: Electric Polarization and Polymer Physics |

195 | Enhancing the Dielectric Breakdown Strength of Solid-State Polymer Capacitors by Chain End Manipulations | Singh, Maninderjeet; Wu, Wenjie; Dong, Mei; Tran, David; Wooley, Karen; Pradhan, Nihar; Raghavan, Dharmaraj; Karim, Alamgir | In this work, we enhanced the energy density of polymer capacitor by using well-ordered high molecular weight block copolymer (BCP), in which the chain ends are segregated to narrow zones. | Session 9: Electric Polarization and Polymer Physics |

196 | Dendrimer Approach toward High Permittivity Polymer Dielectrics for Electrical Energy Storage | Chen, Beibei; Daymon, Samantha; Kareem, Oluwapelumi; Redding, McKenna; Olson, Brian; Hassan, Mohamed; Grayson, Scott; Nazarenko, Sergei | It has been shown in this study that well dried films prepared from second generation dendrimer (D2) (T g ~ 50 oC) synthesized using 2,2-bis(hydroxymethyl)propionic acid monomer (bis-MPA) demonstrate at room temperature a fairly high DP = 10.5 and low DF = 0.014 in the kHz range of frequencies. | Session 9: Electric Polarization and Polymer Physics |

197 | High κ polymers of intrinsic microporosity: A new class of high-temperature and low-loss dielectrics for microelectronic applications | Zhu, Lei; Zhang, Zhongbo; Kwok, Man Hin | In this work, organo-soluble polymers of intrinsic microporosity (PIMs) are reported for the first time to show desirable dielectric properties with high permittivity (or κ), high temperature capability, and low dielectric loss. | Session 9: Electric Polarization and Polymer Physics |

198 | Phase equilibria in P(TrFE-VDF): conformation and chirality | Zhang, Bing; Lu, Wenchang; Liu, Yang; Xu, Wenhan; Haibibu, Aziguli; Han, Zhubing; Wang, Qing; Bernholc, Jerry | We show that the MPB forms due to intrachain rather than interchain conformation competition between the planar all-trans and 3/1-helical conformations in single P(VDF-TrFE) chains [2]. | Session 9: Electric Polarization and Polymer Physics |

199 | Ionic and Local Electric Polarization Effects in Polymers | Floudas, George | We propose a stick and jump model for ion motion in PILs. | Session 9: Electric Polarization and Polymer Physics |

200 | Reconsidering the electron-phonon problem and bounds on Tc | Kivelson, Steven | We exploit the fact that the Holstein model of the electron-phonon problem can be treated without approximation using fermion-minus-sign-free determinent quantum Monte Carlo methods to establish results that can be compared quantitatively and unambiguously with approximate methods based on Migdal-Eliashberg (ME) theory. | Session 10: Electron-Phonon Coupling and High-Temperature Superconductivity |

201 | Light bipolarons from strong Peierls electron-phonon coupling | Berciu, Mona; Sous, John; Chakraborty, Monodeep; Krems, Roman | Using numerical simulations and analytical arguments, we show that these properties result from the specific form of the phonon-mediated interaction, which is of “pair hopping” instead of regular density-density type. | Session 10: Electron-Phonon Coupling and High-Temperature Superconductivity |

202 | Superconductivity in Ultra-Low Density Dirac Materials Driven by a Ferroelectric Quantum Critical Point | Ruhman, Jonathan; Kozii, Vladyslav; Bi, Zhen | In this talk, I will discuss the option of pairing mediated by ferroelectric fluctuations close to a quantum critical point in a Dirac semimetal. | Session 10: Electron-Phonon Coupling and High-Temperature Superconductivity |

203 | New Perspectives from Spectroscopy on the Bismuth Oxide Superconductors | Plumb, Nicholas | I will discuss how these psuedogaps appear to be linked – namely that they represent the precipitation of ordered bipolaronic insulating regions out of a disordered polaronic liquid. | Session 10: Electron-Phonon Coupling and High-Temperature Superconductivity |

204 | Electron-Phonon Coupling and Dilute Superconductivity in SrTiO3 | Hwang, Harold | Thin film heterostructures provide new opportunities to examine SrTiO 3 superconductivity using a newly developed method for engineering band alignments at oxide interfaces to access the electronic structure of Nb-doped SrTiO 3 using high-resolution tunneling spectroscopy. | Session 10: Electron-Phonon Coupling and High-Temperature Superconductivity |

205 | Dynamics and self-organization of active surfaces | Julicher, Frank | I will present a minimal model of the mechano-chemical self-organization of the cell cortex that is based on a hydrodynamic theory of curved active surfaces and that can capture the emergence of shapes. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

206 | Microtubule Motility on Fixed and Diffusive Motor Proteins | Memarian, Fereshteh; Lopes, Joseph; Hirst, Linda | Here we investigate motor-based transportation and behavior of MTs. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

207 | Modeling of the collective motion of microtubules with mobile kinesin motors. | Athani, Madhuvanthi; Memarian, Fereshteh; Hirst, Linda; Beller, Daniel | We use Brownian Dynamics simulations to model the collective motions of microtubules with explicit consideration of the concentration of the motors. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

208 | Multi-functional crystalline frameworks self-assembled from amphiphilic DNA nanostructures. | Brady, Ryan; Brooks, Nicholas; Cicuta, Pietro; Di Michele, Lorenzo | I will discuss a novel class of amphiphilic DNA building blocks dubbed “C-stars” that combine Watson-Crick base pairing and hydrophobic forces to self-assemble into 3D single crystals [1-3]. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

209 | Controlled membrane remodeling by DNA origami nanorods: Experiments targeting the design principles for membrane-based materials | Zuraw, Sarah; Dinsmore, Anthony; Siavashpouri, Mahsa; Dogic, Zvonimir; Gerling, Thomas; Dietz, Hendrik | Inspired by this system, we use DNA origami nanorods to illuminate the role of particle shape and adhesion on membrane reconfiguration. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

210 | A coarse-grained model for lipid bilayer formation, fusion, and its hydrodynamics | Young, Yuan-nan; Fu, Szu-Pei; Ryham, Rolf | In this paper a theoretical model for long-range, hydrophobic attraction between amphiphilic particles is developed to quantify the macroscopic assembly and mechanics of a lipid bilayer membrane in solvents. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

211 | Phase separation and domain registry in giant multilamellar vesicles prepared with biologically-relevant lipid compositions. | Steer, Dylan; Leal, Cecilia | Here we report on the macroscopic arrangement of phase-separated domains in multilamellar forms with biologically-relevant compositions. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

212 | Clustering dynamics of collectively migrating malignant lymphocytes | Golnaraghi, Farnaz; Quint, David; Gov, Nir; Gopinathan, Ajay | We aim to quantify cell cluster shape dynamics and chemotactic efficiency as a function of cellular parameters such as, cell-cell adhesion and alignment, contact inhibition and chemotactic response. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

213 | Imaging the emergence of bacterial turbulence using light-powered E. coli | Peng, Yi; Liu, Zhengyang; Cheng, Xiang | We investigate the emergence of the collective motion of Escherichia coli suspensions and explore the kinetic pathway towards bacterial turbulence. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

214 | Activity-induced phase transitions in confined bacterial suspensions | Ghosh, Dipanjan; Liu, Zhengyang; Cheng, Xiang | Here, we study the emergence of collective order in confined suspensions of genetically engineered Escherichia coli, whose propulsion speed can be controlled via intensity of light. Our study provides an experimental benchmark for understanding the role of complex interplays between hydrodynamic and steric interactions responsible for the emergence of ordered phases in confined active systems. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

215 | Comparing sperm collective swimming with flocking transition | Oduor, Allan; Bililign, Yishak; Sussman, Daniel; Cheong, Soon Hon; Suarez, Susan; Manning, M. Lisa; Tung, Chih-Kuan | Analyzing these flocks, we found the decay of the orientation correlation function to be linear on a log-log plot. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

216 | Correlations in suspensions of microswimmers | Morozov, Alexander | Here, we present a novel kinetic theory that predicts the existence of strong correlations even below the transition to collective motion. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

217 | Collective migration of bacteria in disordered media | Bhattacharjee, Tapomoy; Amchin, Daniel; Kratz, Felix; Ott, Jenna; Datta, Sujit | Here, we use direct visualization and 3D bioprinting to investigate how this behavior manifests in multicellular communities in porous media. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

218 | Collective behavior of platelets in blood clotting | Sun, Yueyi; Myers, David; Lam, Wilbur; Alexeev, Alexander | With experimental insights, we develop a mesoscale computational approach based on dissipative particle dynamics to examine the biophysics of clot contraction. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

219 | Living oil-water interfaces: Buckling of droplets by cell growth at finite liquid interfaces | Juarez, Gabriel | Here, through microfluidic experiments and time-lapse microscopy, we demonstrate that the colonization of oil droplets by the growth and division of rod-shaped bacteria depends strongly on the droplet diameter, or the interfacial curvature. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

220 | A trace amount of surfactants enable diffusiophoretic swimming of bacteria | Doan, Viet Sang; Saingam, Prakit; Yan, Tao; Shin, Sangwoo | We show that even a trace amount of ionic surfactants, down to a single ppm level, can impact the bacteria diffusiophoresis by boosting the surface charge of the cells. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

221 | Bridging Scales to Model Emergent Collective Oscillations in Social Amoeba | Huyan, Chuqiao; Golden, Alexander; Zhu, Xinwen; Mehta, Pankaj; Sgro, Allyson | We compared each model to published experimental findings about how amoeba cells modulate internal cAMP dynamics in response to external changes in cAMP. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

222 | Pattern engineering of living bacterial colonies using meniscus-driven fluidic channels | Kantsler, Vasily; Ontañón-McDonald, Elena; Kuey, Cansu; Ghanshyam, Manjari J; Roffin, Maria; Asally, Munehiro | Here we present controlled meniscus-driven fluidics, MeniFluidics; an easily implementable technique for patterning living bacterial populations. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

223 | Control of patterning in human pluripotent stem cell colonies via a Turing system with reactive boundaries | McMaster, Benjamin; Kaul, Himanshu; Aguilar-Hidalgo, Daniel; Zandstra, Peter | This work presents a general framework for self-organized pattern formation that explain observed patterns in hPSC colonies, leading to a design-based specification of collective cell behavior. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

224 | Cellular integration of physical and biochemical damage signals in the generation of tissue-level wound responses | Stevens, Aaron; Tasneem, Kazi; OConnor, James; Hutson, Shane; Page-McCaw, Andrea | We have developed a computational model to test the plausibility of multiple hypothesized mechanisms driving these calcium signals and to further understand the underlying biology. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

225 | Dorsal closure in numbers: quantification of epithelial cell oscillations using machine learning | Haertter, Daniel; Rhodes, Dante; Crawford, Janice; Kiehart, Daniel; Schmidt, Christoph | We present a novel analysis pipeline, based on a convolutional neural network (machine learning), that allows an automated and robust segmentation of large numbers of video recordings. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

226 | Signatures of tissue surface tension in 3D models with two tissue types | Sahu, Preeti; Schwarz, J; Manning, M. Lisa | To better understand the mechanisms for such sharp compartmentalization, we study the effect of an imposed heterotypic tension at the interface between two distinct cell types in a fully 3D model for confluent tissues. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

227 | Defect Driven Morphogenesis: Active Cell Division Generates Four-Fold Order | Cislo, Dillon; Qin, Haodong; Bowick, Mark; Streichan, Sebastian | We present a quantitative profile of exotic non-equilibrium pattern formation in the crustacean Parhyale hawaiensis. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

228 | Quantifying mechanics in non-confluent tissues using an extended vertex model | Lawson-Keister, Elizabeth; Parker, Amanda; Schwarz, Jennifer; Manning, M. Lisa | Vertex models for tissues have correctly predicted cell shapes and fluid-solid transitions in confluent epithelial monolayers where there are no gaps between cells and negligible curvature along cell-cell boundaries. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

229 | The branched architecture of the airway is physically shaped by the extracellular matrix and contractile airway smooth muscle during lung development | Spurlin, James; Zhang, Rawlison; Nelson, Celeste | Using comparative embryology, we have found several novel mechanisms of how airway branches are physically shaped. | Session 11: Emergent Collective Dynamics in Biology: from Microbes to Organs |

230 | Transmisison hysteresis and edge modes in bounded space-time composites | Nassar, Hussein | Specifically, we establish in the weak coupling regime how the hybridization of total bandgaps into pairs of one-way bandgaps triggers nonreciprocal hysteresis transmission loops in the space-frequency domain and alters, qualitatively and quantitatively, the vibrational frequency response in the presence of reflecting boundaries. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

231 | Motion via Bistability in Viscous Fluids | Zanaty, Mohamed; Zunker, William; Mueller, Jochen; Bertoldi, Katia | We study the behavior of bistable beams in viscous media and their application to aquatic locomotion. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

232 | Non-reciprocal solitons in robotic materials | Brandenbourger, Martin; Dekker, Hans; Coulais, Corentin | Here, we use this new platform to generate soliton waves that indefinitely propagate in only one direction. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

233 | Topological locomotion | Bertoldi, Katia; Deng, Bolei; Zanaty, Mohamed | We investigate how the propagation of the topological domain walls through a metamaterial based on the squares rotating mechanism can be harnessed to generate locomotion. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

234 | Topology by activity in non-Hermitian mechanical metamaterials | Scheibner, Colin; Irvine, William; Vitelli, Vincenzo | Our work sheds light on non-Hermitian band theory and the design of active metamaterials that conserve linear momentum. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

235 | The topology of nonlinear mechanical systems | Lo, Po-Wei; Lawler, Michael; Santangelo, Christian; Chen, Bryan; Roychowdhury, Krishanu; Jian, Chao-Ming | We, in the present work, attempt an extension to accommodate nonlinear effects that are more natural to occur in realistic mechanical systems and feature topologically protected zero modes. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

236 | Mechanical metamaterial inspired by biological tissues | Li, Xinzhi; Bi, Dapeng | We introduce an amorphous mechanical metamaterial inspired by how cells pack in biological tissues. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

237 | Modeling tunable acoustic transport in driven graphene nanoresonator arrays | Karki, Pragalv; Miller, David; Blaikie, Andrew; Carter, Brittany; Aleman, Benjamin; Paulose, Jayson | Motivated by experiments, we present a theoretical and computational study of the acoustic properties of coupled graphene resonators with dynamical spatiotemporal modulation of the tension. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

238 | Transitions from conservative to non-conservative regimes in optical binding of colloidal matter. | Davenport, Dominique; Kleckner, Dustin | We study light generated inter-particle interactions known as optical binding. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

239 | What kinds of forces does optical binding produce? | Kleckner, Dustin; Davenport, Dominique | Optical binding is an attractive tool for controlling colloidal forces because it offers a highly tunable method of producing inter-particle forces without chemical modifications. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

240 | The odd flows of a colloidal chiral fluid | Bililign, Ephraim; Soni, Vishal; Magkiriadou, Sofia; Sacanna, Stefano; Bartolo, Denis; Shelley, Michael; Irvine, William | We report the assembly of a chiral fluid composed of millions of spinning colloidal magnets. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

241 | Rectification of energy and motion in non-equilibrium parity violating metamaterials | Liao, Zhenghan; Irvine, William; Vaikuntanathan, Suriyanarayanan | Rectification of energy and motion in non-equilibrium parity violating metamaterials | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

242 | Robotic swarms as adaptive active matter | Pittayakanchit, Weerapat; Falk, Martin; Wu, Jiayi; Murugan, Arvind; Jaeger, Heinrich | Here, we study a model of active matter with adaptive activity inspired by recent experiments on mechanically coupled robotic swarms. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

243 | Rheology of Active Polymer-like T. Tubifex Worms | Deblais, Antoine; Woutersen, Sander; Bonn, Daniel | Here we experimentally study the rheology of long, slender and entangled living worms ( Tubifex tubifex) and propose this system as a new type of active polymer. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

244 | Collective Behavior of Worm Blobs | Ozkan-Aydin, Yasemin; Goldman, Daniel; Bhamla, Saad | We study the aggregation of blackworms( Lumbriculus variegatus ) into large ensembles of entangled, living “blobs” composed of thousands of slender bodies knotted together. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

245 | Predicting Crowd Dynamics Using Local Structure | Giannini, Julia; Stanifer, Ethan; Manning, M. Lisa | To address this issue, we have developed a novel method to generate static packings in an artificial potential that reproduce the packing structures in a class of point-of-interest active SPP crowd simulations. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

246 | The dynamics of in-silico active filamentous elastic swimmers explored using Brownian dynamics simulations | Akpinaroglu, Deniz; Gopinath, Arvind | Here, we study the spatiotemporal dynamics of a computationally minimal swimmer – an active elastic filament attached to a viscous cargo that can move in a plane. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

247 | Controlled reversal of vortex chirality in populations of colloidal rollers | Zhang, Bo; Sokolov, Andrey; Snezhko, Oleksiy | We demonstrate in experiments and simulations that active chiral liquids in a collective vortex state exhibit memory and the subsequent formation of the polar states is not random. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

248 | Mechanics of ultrasonically levitated active granular membranes | Lim, Melody; Souslov, Anton; Vitelli, Vincenzo; Jaeger, Heinrich | We explore granular rafts in an acoustic trap consisting of hundreds of macroscopic particles. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

249 | Impact of wall constraint on the dynamics of self-propelled particles | Yamamoto, Ryoichi; Fadda, Federico; Molina, John J. | In the present study, we investigate the dynamics of two popular types of self-propelled particles, i.e., spherical micro-swimmers (squirmers) and rolling spheres (Quincke rollers) on a flat plate and by means of direct numerical simulation of fluid/particle composite systems with fully resolving the hydrodynamics. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

250 | Construction of non-equilibrium structures by insect aggregations: the case of fire ants | Wagner, Robert; Shen, Tong; Vernerey, Franck; Such, Kristen; Hobbs, Ethan | In this presentation, we explore the mechanical rules individual fire ants follow on the surfaces of these towers by measuring their statistical velocity distribution, parking rates, and unparking rates, through imaging analysis. | Session 12: Emergent Mechanics of Active, Robotic, and Living Materials |

251 | Resource-rich environments can reduce stability and diversity in microbial communities by strengthening interspecies interactions | Ratzke, Christoph; Barrere, Juliene; Gore, Jeffrey | Here we show in microbial ecosystems in the lab that the concentrations of available nutrients can set the strength of interactions between bacteria. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

252 | Niche-Neutral Transition in a Lotka-Volterra Model of Diverse Ecosystems | Wu, Jim; Schwab, David; Mehta, Pankaj | In this work, we draw a bridge between these two opposing theories. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

253 | Competition-driven strategies for controlling multistable microbial communities | Dubinkina, Veronika; Goyal, Akshit; Fridman, Yulia; Pandey, Parth; Maslov, Sergei | Here, we propose two strategies to control multistable microbial communities: that of controlling the colonization order in which species are introduced into a community, and that of controlling the supply of nutrients to a community. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

254 | Long-range patterns of activity shaped by signaling interactions within bacterial communities | Boedicker, James; Silva, Kalinga Pavan; Yusufaly, Tahir | Our work explored how signaling interactions between multiple cell types shape global patterns of gene expression. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

255 | Ecological interactions constrain the coexistence of generalists and specialists during coevolution in microbial communities | Goyal, Akshit | Here, we propose and study a minimal model of a co-evolving microbial community shaped by ecological interactions. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

256 | Criticality on topologically disordered systems and the Harris criterion | Barghathi, Hatem; Vojta, Thomas | We recently introduced [1] a modified stability criterion, (d+1)ν>2, for systems in which the presence of topological constraints suppresses disorder fluctuations, resulting in a violation of the usual Harris criterion. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

257 | The Emergence of Spatial Patterns in Tree Yield: A New Model for the Masting Phenomenon | Esmaeili, Shadisadat; Hastings, Alan; Abbott, Karen; Machta, Jonathan; Nareddy, Vahini Reddy | In this talk, we introduce a new model to emulate the observed spatial patterns and study the effects of local coupling and external forces on the dynamics of the system. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

258 | Binary Decisions of Large Cliques of Evidence Accumulators | Karamched, Bhargav; Kilpatrick, Zachary; Josic, Kresimir; Stickler, Megan; Ott, Will; Lindner, Benjamin | We consider cliques of N evidence accumulators making a binary decision based on noisy observations. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

259 | Identifying Suspicious Users and Products to Predict New Opinions | Chung, Sukhwan | In this work, a solution to those issues is suggested using the Rev2 algorithm (developed by S. Kumar, et al) and the principle of maximum entropy. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

260 | Optimal evidence accumulation on social networks | Karamched, Bhargav; Stolarczyk, Simon; Josic, Kresimir; Kilpatrick, Zachary | Here we derive network models of rational agents who accumulate private measurements and observe decisions of their neighbors to choose between two options. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

261 | Sensitivity of collective outcomes identifies pivotal components | Lee, Edward; Katz, Daniel; Bommarito, Michael; Ginsparg, Paul | Using the information geometry of minimal models from statistical physics, we develop a general approach for identifying key "pivotal" components on which aggregate statistics depend most sensitively. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

262 | Community optimization and ruggedness of ecological landscapes | B. George, Ashish; Korolev, Kirill | We show that consumer-resource models with and without cross-feeding have unique steady states that depend only on the presence or absence of species in the community. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

263 | History-dependent tradeoffs in changing environments | Tikhonov, Mikhail | Using a simple model, I will show that this feedback can lead to counterintuitive consequences in the context of multiple or changing environments: specifically, a direct exposure to some environment of interest will, in general, no longer be the most effective way of achieving highest fitness in it. | Session 13: Evolutionary and Ecological Dynamics: Communities and Networks |

264 | Evolutionary dynamics of immune repertoires | Mora, Thierry | In this talk I will discuss how the diversity of receptors is generated and how it evolves and self-organises over time to protect us efficiently. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

265 | Evolutionary regain of lost network function | Kheir Gouda, Mirna; Manhart, Michael; Balazsi, Gabor | To test the reversibility of evolutionary breakdown, we use a synthetic gene circuit (PF) integrated into yeast cells. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

266 | Measuring mutations with droplet microfluidics | Hennessey-Wesen, Mike; Guet, Calin; Hof, Bjoern | We use a droplet-based, microfluidic platform to make real-time measurements of point mutations in bacteria under various conditions with high precision. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

267 | The Evolutionary Dynamics of Incubation Periods | Ottino-Loffler, Bertrand; Scott, Jacob; Strogatz, Steven | Here, we propose an explanation based on evolutionary dynamics on graphs. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

268 | Evolution of systems with power-law memory: Do we have to die? | Edelman, Mark | Models with power-law memory may explain the observed decrease at very large ages of the rate of increase of the force of mortality and they imply limited lifespans. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

269 | Spatial Expansions and Serial Bottlenecks Produce Different Topologies of Genealogical Trees | Birzu, Gabriel; Hallatschek, Oskar; Korolev, Kirill | Here, we show that range expansions can produce extremely different topologies of genealogical trees, which are very sensitive to the growth dynamics at the front. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

270 | Early Multicellular Organisms Co-opt Cell-Level Characteristics into Group-Level Properties via the Principle of Maximum Entropy | Day, Thomas; Yanni, David; Jacobeen, Shane; Yunker, Peter | Here we demonstrate that lab-evolved simple multicellular groups with permanent intercellular bonds follow the principle of maximum entropy. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

271 | Evolution of microbial growth traits under serial dilution | Lin, Jie; Manhart, Michael; Amir, Ariel | We find that the fixation probability of a beneficial mutation depends on a linear combination of its growth rate and lag time relative to its immediate ancestor, even under clonal interference. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

272 | Physical constraints on epistasis | Husain, Kabir; Murugan, Arvind | Here, we demonstrate that the physical dynamics of a biological system can generically constrain epistasis. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

273 | Emergence of heritability of higher-level traits in a major transition | Burnetti, Anthony; Zamani Dahaj, Seyed Alireza; Herron, Matthew; Ratcliff, William | Using the ‘snowflake yeast’ model system of early multicellularity, we investigated the biophysical basis of emergent multicellular traits. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

274 | Lineage Branching During Recovery from Simulated Mass Extinction | King, Dawn; Hanke, Tyler; Bahar, Sonya | Here, we use methods from coalescent theory to show that population lineages undergo a structural change near the extinction-survival transition, with a sharp divergence in the time to most recent common ancestor (TMRCA). | Session 14: Evolutionary and Ecological Dynamics: Evolution |

275 | Evolution of Macroscopic size in nascent multicellular organism | Zamani Dahaj, Seyed Alireza; Bozdag, Gonensin; Day, Thomas; Ratcliff, William; Yunker, Peter | In this work we show how small changes at the cell level trait lead to emergent properties in the microscopic level and helped to overcome tremendous mechanical constraints on their size. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

276 | Evolution of hardwired behavioral strategies through competitive population dynamics | Liang, Tong; Brinkman, Braden | Here we develop mechanistic evolutionary models to investigate whether normative principles can predict the most evolutionarily advantageous strategies. | Session 14: Evolutionary and Ecological Dynamics: Evolution |

277 | The price of a shortcut | Shou, Wenying | I will also experiment with a different presentation style where scientific work is described through story-telling. | Session 15: Evolutionary and Ecological Dynamics: Population Ecology |

278 | Long-term Nutrient Cycling in a Materially Closed Ecosystem | de Jesús Astacio, Luis; Li, Zeqian; PRABHAKARA, KAUMUDI; Kuehn, Seppe | To address this question, we present a new method for making precision measurements of carbon cycling in CES using low-cost piezoresistive pressure sensors. | Session 15: Evolutionary and Ecological Dynamics: Population Ecology |

279 | Growth and form control population dynamics of cellular aggregates | Golden, Alexander; Korolev, Kirill | To understand how growth morphology influences evolutionary dynamics, we have developed a numerical model of two-dimensional colonies in which microbes grow by consuming a diffusible nutrient and have a density-dependent motility. | Session 15: Evolutionary and Ecological Dynamics: Population Ecology |

280 | Synergistic effects of nitrogen and phosphorous on the growth of algal cells reveled by a microfluidic platform | Liu, Fangchen; Yazdani, Mohammad; Wagner, Nicole; Ahner, Beth; Wu, MingMing | In this presentation, we studied the growth of a model algal strain, Chlamydomonas reinhardtii, under a dual concentration gradient of nitrogen (N) and phosphorous (P) and found that N and P synergistically promoted algal cell growth. | Session 15: Evolutionary and Ecological Dynamics: Population Ecology |

281 | Dynamics of prey-predator: effect of cooperative interaction and inertial forces | Chakraborty, Dipanjan; De, Rumi | We present a simple theoretical model to investigate the effect of cooperative interactions on the survival chances of a prey group while chased by a predator. | Session 15: Evolutionary and Ecological Dynamics: Population Ecology |

282 | Representing spatially extended ecological oscillators by kinetic Ising models with memory | Nareddy, Vahini Reddy; Machta, Jonathan; Abbott, Karen; Esmaeili, Shadisadat; Hastings, Alan | In this talk we will discuss the question of accurately representing a system of coupled, noisy two-cycle oscillators by an Ising model. | Session 15: Evolutionary and Ecological Dynamics: Population Ecology |

283 | Ocean currents promote rare species diversity in protists | Villa Martin, Paula; Bucek, Ales; Bourguignon, Tom; Pigolotti, Simone | We introduce a spatially explicit coalescence model able to reconstruct species ancestry and diversity in the presence of currents. | Session 15: Evolutionary and Ecological Dynamics: Population Ecology |

284 | Spatial segregation as a necessity for beneficial gene loss in cross-feeding bacterial communities: a kinetic perspective on the Black Queen Hypothesis | Di Salvo, Mario; Setayeshgar, Sima; McKinlay, James | We explore the emergence of mutualistic cross-feeding in bacterial cocultures in the context of the BQH. | Session 15: Evolutionary and Ecological Dynamics: Population Ecology |

285 | Localization transitions in age-structured populations | Nozoe, Takashi; Kussell, Edo | We discuss age-structured population models that exhibit a range of collective phenomena including phase transitions and population-level oscillations. | Session 15: Evolutionary and Ecological Dynamics: Population Ecology |

286 | Formation of Phage Lysis Patterns and Implications on Co-Propagation of Phages and Motile Host Bacteria | Chen, Jing | Here, we combine an experimental approach and mathematical modeling to explore how phages and their motile host bacteria coexist and co-propagate. | Session 15: Evolutionary and Ecological Dynamics: Population Ecology |

287 | Spatial competition of toxin-secreting strains of yeast | Giometto, Andrea; Murray, Andrew; Nelson, David | Theoretical models of well-mixed population genetics with antagonistic interactions predict that a stronger competitor can invade a weaker one only if its initial population is larger than a critical inoculum size. | Session 15: Evolutionary and Ecological Dynamics: Population Ecology |

288 | What Can Knitting Machines Make? | McCann, James | The important insight made in this work is that the way the yarn is routed between stitches is as important to model as the way the yarn behaves within stitches. | Session 16: Fabric, Knits and Knots |

289 | Knitting Machine State Representation Using the Artin Braid Group | LIN, JENNY; McCann, James | To enable the computation of optimal machine knitting patterns, we developed an abstraction of the knitting machine state that uses the Artin braid group when describing interstitch relationships. | Session 16: Fabric, Knits and Knots |

290 | Mechanics-Based Simulation of Multistable Knitted Fabrics | Ding, Xiaoxiao; Rycroft, Christopher; Bertoldi, Katia | Given this complexity, we are motivated to develop a mechanics-based predictive model that accounts for mechanical parameters in this mechanics-based process. | Session 16: Fabric, Knits and Knots |

291 | Constructing a constitutive model of knitted fabric | Dimitriyev, Michael; Singal, Krishma; Matsumoto, Elisabetta | To make progress towards this end, we seek a method of generating constitutive relations for a given stitch pattern. | Session 16: Fabric, Knits and Knots |

292 | Stress-Strain Studies of Knitted Swatches | Singal, Krishma; Dimitriyev, Michael; Matsumoto, Elisabetta | To quantify this shape change we are developing a method for tracking the 3D path of the yarn. | Session 16: Fabric, Knits and Knots |

293 | Emergent yarns and fabrics by twist origami | Chopin, Julien; Kudrolli, Arshad | Thus, we propose an origami starting with an inextensible sheet with a prescribed number of triangular folds corresponding those observed at the onset of transverse wrinkling of the elastic sheet as a starting point to analyze the emergence of the structure. | Session 16: Fabric, Knits and Knots |

294 | A Study of Two-Periodic Knitted Fabrics using Tangles | Markande, Shashank; Matsumoto, Elisabetta | We have previously created a framework to classify and characterize two-periodic stitch patterns of knitted fabrics that is based on knot and link theory. | Session 16: Fabric, Knits and Knots |

295 | Untangling the mechanics of the clove hitch knot | Sano, Tomohiko; Grandgeorge, Paul; Johanns, Paul; Baek, Changyeob; Singh, Harmeet; Maddocks, John; Reis, Pedro | In our study, we combine experiments (mechanical testing and X-ray tomography), finite element and a theory based on the Kirchhoff equations. | Session 16: Fabric, Knits and Knots |

296 | To stop or not to stop: The stopper knot as a friction device | Johanns, Paul; Grandgeorge, Paul; Sano, Tomohiko; Baek, Changyeob; Reis, Pedro | We tackle this problem by performing a combination of mechanical testing and X-ray tomography on a variety of stopper knots. | Session 16: Fabric, Knits and Knots |

297 | Topological Mechanics of Knots and Tangles | Patil, Vishal; Sandt, Joseph; Kolle, Mathias; Dunkel, Jorn | Here, we combine optomechanical experiments with theory and simulations to analyze the behavior of knots in flexible fibers that change their color in response to mechanical deformations. | Session 16: Fabric, Knits and Knots |

298 | tbd | Dion, Genevieve | tbd | Session 16: Fabric, Knits and Knots |

299 | String Contraction via Twisting: Ideal and Nonideal Behavior | Hanlan, Jesse; Davis, Gabrielle; Durian, Douglas | Here we compare this model with data for single, double and triple stranded strings of parachute cords, rattail cord, nylon, kevlar, monofilament fishing line, and metal wire. | Session 17: Fabric, Knits and Knots II / Complex Networks |

300 | Contact geometry of equidistant tubes | Singh, Harmeet; Grandgeorge, Paul; Sano, Tomohiko; Reis, Pedro; Maddocks, John | We consider equilibrium configurations of two flexible tubes arranged in space such that their centrelines are separated by a constant distance. | Session 17: Fabric, Knits and Knots II / Complex Networks |

301 | Fibered by fibers: the geometry and elasticity of frustrated filaments | Atkinson, Daria; Santangelo, Christian; Grason, Gregory | To describe nonequidistant configurations, we derive a geometrically nonlinear, coordinate invariant, gauge-like theory for the elasticity of filamentous materials. | Session 17: Fabric, Knits and Knots II / Complex Networks |

302 | Disease outbreak as stochastic resonance: interplay between host-seeking behavior and heterogeneous human/vector interactions results in system amplification | Parker, Joshua; Pecor, Dave; Wayant, Nicole | We perform phase space analysis on a mathematical model of mosquito-borne disease that incorporates the full mosquito life cycle. | Session 17: Fabric, Knits and Knots II / Complex Networks |

303 | Impact of initial seeds in cooperative contagion processes | Min, Byungjoon | In this work, we modulate the probability of infection depending on the state of nodes taking into account the cooperativity between different pathogens. | Session 17: Fabric, Knits and Knots II / Complex Networks |

304 | Degree-preserving Network Growth | Kharel, Shubha; Mezei, Tamás; Chung, Sukhwan; Soltész, Dániel; Erdos, Peter; Toroczkai, Zoltan | We introduce a novel class of models that encapsulates degree preserving dynamics in the simplest form, resulting in structures significantly different from previous ones. | Session 17: Fabric, Knits and Knots II / Complex Networks |

305 | Synchronization of Coupled Kuramoto Oscillators under Resource Constraints | Wiley, Keith; Mucha, Peter; Bassett, Danielle | A fundamental understanding of synchronized behavior in multi-agent systems can be acquired by studying analytically tractable Kuramoto models. | Session 17: Fabric, Knits and Knots II / Complex Networks |

306 | Model reduction of large networked systems using the Manifold Boundary Approximation Method | Francis, Benjamin; Nuttall, Jacob; Transtrum, Mark; Sarić, Andrija; Stanković, Aleksandar | Using techniques of information geometry, we derive reduced models of the network that act as effective theories in cases where only partial system measurements are available using the Manifold Boundary Approximation Method (MBAM). | Session 17: Fabric, Knits and Knots II / Complex Networks |

307 | Path-dependent Dynamics Induced by Rewiring Networks of Kuramoto Oscillators with Inertia | Qian, William; Papadopoulos, Evangelia; Lu, Zhixin; Bassett, Danielle | Many studies have gained key insights into this question by studying the classic Kuramoto oscillator model on static networks. | Session 17: Fabric, Knits and Knots II / Complex Networks |

308 | Distribution of the Sizes of theBblackouts in Power Grids, Synthetic Models, and the Motter and Lai Model under different Dynamical Rules and Criteria of Overload | Cwilich, Gabriel; Buldyrev, Sergey; Kornbluth, Yosef | Studies of the sizes of the blackouts in real grids and computer simulation models of them using the direct current approximation suggest that the resulting blackout sizes are distributed as a power law when using the standard criterion of resilience, the so-called N-1 condition: The grid must safely operate in the event of a failure of any single line. | Session 17: Fabric, Knits and Knots II / Complex Networks |

309 | Generating individual aging trajectories with a network model | Farrell, Spencer; Mitnitski, Arnold; Rockwood, Kenneth; Rutenberg, Andrew | We model this process with a set of health attributes as nodes that interact in a network leading to mortality. | Session 17: Fabric, Knits and Knots II / Complex Networks |

310 | Modeling the Dynamics of Belief in Climate Change with Statistical Physics | Aigner, Ernest; Brown, Jackie; Furlong, Kyle; Gier, David; Holmér, Ludvig; Vallomparambath PanikkasserySu, Ritwika | The model enables us to analyse the interactions between social belief dynamics in networks and climate impacts and suggest when and if a consensus about climate change will form in the wake of extreme climate-related weather events. | Session 17: Fabric, Knits and Knots II / Complex Networks |

311 | Shear Jamming in Dense Suspensions | Jaeger, Heinrich | This talk will discuss recent experiments and simulations that address these questions, focusing on the differences between discontinuous shear thickening (DST) and shear jamming (SJ). | Session 18: Flow of Dense Granular Materials and Suspension |

312 | Investigating viscous to inertial transitions in granular suspensions with internal imaging | Kudrolli, Arshad | We discuss experiments that probe the rheology of fluid-saturated granular beds coupled with the micromechanics of their flow using refractive index matching (RIM) techniques. | Session 18: Flow of Dense Granular Materials and Suspension |

313 | Continuum modeling of flow and size-segregation in dense granular materials | Henann, David; Liu, Daren; Li, Shihong; Singh, Harkirat | In this talk, we study size-segregation phenomenology using discrete-element method simulations of dense, bidisperse particles and propose a continuum model for coupled size-segregation and flow in dense, bidisperse granular systems. | Session 18: Flow of Dense Granular Materials and Suspension |

314 | Bedform dynamics: interaction, attraction and repulsion of dunes | Vriend, Nathalie; Bacik, Karol; Jarvis, Paul | Here, we present a unique, recirculating, laboratory experiment in which we create and trace aqueous dunes over long times. | Session 18: Flow of Dense Granular Materials and Suspension |

315 | Nonlocal rheology of granular materials | Daniels, Karen | In my talk, I will describe several experiments on two-dimensional granular materials which bridge particle-scale, meso-scale, and continuum-scale approaches. | Session 18: Flow of Dense Granular Materials and Suspension |

316 | Observation of broad-band water wave guiding in shallow water | Falcon, Claudio; Sepulveda, Fabián; Guzmán, Diego; Vicencio, Rodrigo | We present experimental and numerical results of this shallow water wave guiding, which can be straightforwardly matched to the one-dimensional wave equation of shallow water waves. | Session 19: Fluid Structure Interactions |

317 | Designing an All-Carbon Membrane for Water Desalination | Tomanek, David; Kyrylchuk, Andrii | We design an all-carbon membrane for the filtration and desalination of water. | Session 19: Fluid Structure Interactions |

318 | Separation and collision dynamics in biomimetic wind-driven fog harvesting | Shahrokhian, Aida; Chan, Fan Kiat; Feng, Jiansheng; Gazzola, Mattia; King, Hunter | Physical and behavioral techniques developed over eons by plants and animals in these regions can provide useful insight to do it better. | Session 19: Fluid Structure Interactions |

319 | Pair interaction between sedimenting polar objects in the Stokes regime | Conway, Alyssa; Menon, Narayanan; Chajwa, Rahul; Ramaswamy, Sriram | We study triangles placed in a quasi-two-dimensional container and sedimented at low Reynolds number as a model of the stokesian sedimentation of polar objects. | Session 19: Fluid Structure Interactions |

320 | Sedimenting disk arrays: waves and transient growth | Chajwa, Rahul; Govindarajan, Rama; Menon, Narayanan; Ramaswamy, Sriram | We study experimentally the Stokesian sedimentation (Re ∼ 10 -4) of one-dimensional lattice of disks in a quasi two-dimensional geometry with trajectories of disk centres lying in a plane. | Session 19: Fluid Structure Interactions |

321 | Decentralized reinforced learning of emergent behavior in robotic matter | Oliveri, Giorgio; Van Laake, Luuk; Overvelde, Johannes | To enable modularly scalable and autonomous soft robots we have developed a new type of soft robot that is assembled from identical 1D building blocks with embedded pneumatic actuation, position sensing and computation. | Session 20: From Responsive Matter to Actuated Structures |

322 | Collective behavior of BOBbots, a robotic active matter system | Li, Shengkai; Dutta, Bahnisikha; Randall, Dana; Goldman, Daniel | We introduce BOBbots (Behaving, Organizing, Buzzing Robots, named to honor the late Bob Behringer), a custom low-cost active matter system composed of disk-shaped “granular” robots. | Session 20: From Responsive Matter to Actuated Structures |

323 | Smarticle glider: Locomoting, spontaneous excitations in a shape changing active matter system | Vardhan, Akash; Li, Shengkai; Zhang, Yunbo; Wiesenfeld, Kurt; Goldman, Daniel | We seek to understand the mechanistic principle behind the creation of these states and their ensuing dynamics with an iterative map. | Session 20: From Responsive Matter to Actuated Structures |

324 | Photothermal actuation of a fluidic soft muscle | Gockowski, Luke; Seshadri, Serena; Lee, Jaejun; Sroda, Miranda; Helgeson, Matthew; Read de Alaniz, Javier; Hawkes, Elliot; Valentine, Megan | Here, we exploit a novel class of photoswitches, donor-acceptor Stenhouse adducts (DASAs), for the remote actuation of soft muscles. | Session 20: From Responsive Matter to Actuated Structures |

325 | Programmable Photothermal Actuation using Novel Negative Photochromic Donor-Acceptor Stenhouse Adduct (DASA) Polymers | Lee, Jaejun; Sroda, Miranda; Kwon, Younghoon; El-Arid, Sara; Seshadri, Serena; Gockowski, Luke; Hawkes, Elliot; Read de Alaniz, Javier; Valentine, Megan | We will present a synthesis pathway for chemically attaching DASA conjugates to poly(hexyl methacrylate) through norbornadiene click chemistry, and will demonstrate actuator performance. | Session 20: From Responsive Matter to Actuated Structures |

326 | The realm of magnetorheological elastomers: experiments, theory and instabilities | Danas, Kostas | In this talk, I will present a broad overview of our work on magnetorheological elastomers (MREs) including experiments, theory and numerical implementation. | Session 20: From Responsive Matter to Actuated Structures |

327 | Understanding the kinetic arrest in deswelling microgels | Nikolov, Svetoslav; Fernandez-Nieves, Alberto; Alexeev, Alexander | We use mesoscale computer simulations to model the deswelling kinetics of spherical microgels. | Session 20: From Responsive Matter to Actuated Structures |

328 | Tunable buckling strength of magnetically active elastomeric shells | Yan, Dong; Pezzulla, Matteo; Cruveiller, Lilian; Reis, Pedro | Here, we demonstrate the ability to actively tune the knockdown factor of pressurized spherical shells. | Session 20: From Responsive Matter to Actuated Structures |

329 | Tailoring magneto-mechanical properties of NdFeB particle-filled soft elastomers | Mukherjee, Dipayan; Danas, Kostas | This work investigates the possibilities of tailoring the magneto-mechanical properties of hard (permanent) magnetic NdFeB particle-filled soft magnetorheological elastomers by proposing novel microstructures. | Session 20: From Responsive Matter to Actuated Structures |

330 | Magnetically triggered thin-film instabilities for surface pattern control | Rambausek, Matthias; Danas, Kostas | The study under consideration is concerned with instabilities of a thin magnetic film attached to a soft (magnetic) substrate under general biaxial precompression and transverse magnetic fields leading to complex two-dimensional surface patterns. | Session 20: From Responsive Matter to Actuated Structures |

331 | Geometry and Topology in Motion | Shankar, Suraj | In this talk, I will argue that such an approach successfully identifies the relevant physics in metamaterials and active matter as well, even when traditional techniques fail. | Session 21: GSNP Dissertation, Graduate Student, and Post-doctoral Speaker Awards |

332 | Minimal Model for Intermittent Dynamics and "Turbulence" in Many-Body Systems | Gogia, Guram | Inspired by our previous experimental findings [1], here we present computational results for a particle-based system that exhibits intermittent switching between two distinct phases. | Session 21: GSNP Dissertation, Graduate Student, and Post-doctoral Speaker Awards |

333 | Vortices, space-time braids and loops in the membrane of a living cell | Liu, Jinghui | Here, we show a defect-mediated turbulence underlies the complex wave propagation patterns of Rho-GTP signaling proteins on the membrane of starfish oocytes. | Session 21: GSNP Dissertation, Graduate Student, and Post-doctoral Speaker Awards |

334 | A mechanical model for supervised learning | Stern, Menachem | In this work, we apply the supervised learning framework to self-folding sheets, using a physically motivated learning rule. | Session 21: GSNP Dissertation, Graduate Student, and Post-doctoral Speaker Awards |

335 | Ecological mechanisms of direct and indirect bacteriotherapies in generalized Lotka-Volterra systems | Jones, Eric | In this work we use generalized Lotka-Volterra (gLV) models to probe the ecological mechanisms through which these bacteriotherapies function. | Session 21: GSNP Dissertation, Graduate Student, and Post-doctoral Speaker Awards |

336 | Noisy driven oscillators: Adaptive drives break the fluctuation-dissipation theorem | Sheth, Janaki | We explore the fluctuations and response functions of intrinsically noisy limit-cycle oscillators starting with models of stereocilium dynamics in the inner ear. | Session 21: GSNP Dissertation, Graduate Student, and Post-doctoral Speaker Awards |

337 | Diffusive behavior in walking droplets | Rahman, Aminur | We present an experimental and theoretical investigation of such droplets. | Session 21: GSNP Dissertation, Graduate Student, and Post-doctoral Speaker Awards |

338 | Exotic Soft Modes in 2D Mechanical Metamaterials Yield Powerful New Analytic Prediction Methods | Czajkowski, Michael | To understand this, we utilize a coarse graining approach, combined with highly detailed finite element simulations and experiments, to reveal that the perforated elastic sheet mechanics is controlled by a novel set of soft modes that correspond precisely to the well-studied planar Conformal Maps. | Session 21: GSNP Dissertation, Graduate Student, and Post-doctoral Speaker Awards |

339 | Low frequency vibrations of deformable particles | Wang, Dong | In this work, we calculate the spectrum of vibrational modes from the eigenvalues of the dynamical matrix for truly deformable particles at jamming onset as a function of the shape parameter A = p2/(4πa), where p is the perimeter and a is the area of the particle. | Session 21: GSNP Dissertation, Graduate Student, and Post-doctoral Speaker Awards |

340 | Hydrodynamic memory and driven microparticle transport: hedging against fluctuating sources of energy | Seyler, Sean | In this work, we numerically solve the BBO equation to simulate driven microparticles and show that hydrodynamic memory generally reduces transport friction, particularly when driving forces do not vary smoothly. | Session 21: GSNP Dissertation, Graduate Student, and Post-doctoral Speaker Awards |

341 | Landscapes, nonlinearity, and optimality of ion transport in sub-nanoscale pores | Sahu, Subin | We demonstrate how this works in a synthetic selectivity filter and discuss how to probe this system, which will help to experimentally quantify optimal transport conditions and will give the foundation for a robust understanding of more complex biological pores. | Session 21: GSNP Dissertation, Graduate Student, and Post-doctoral Speaker Awards |

342 | Solving the equilibrium dynamics of particle systems in infinite dimensions | Manacorda, Alessandro; Zamponi, Francesco; Schehr, Grégory | In the last years, a general framework to study the dynamics of particle systems in infinite dimensions has been developed. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

343 | Investigating Hydrogen Glass Dynamics in Amorphous Germanium and Amorphous Silicon-Germanium Alloys | Knauber, Brenda; EslamiSaray, Mohammad Ali; Kakalios, James | A set of hydrogenated amorphous silicon-germanium alloys are studied to investigate the transition in the noise statistics and conductivity relaxation as the alloy fraction changes. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

344 | Towards a Unifying Scaling Theory of Rigidity Transitions | Jafarpour, Farshid; Ridout, Sean; Liu, Andrea | We study a spring-network model that exhibits both types of transitions and provide a unifying perspective based on a scaling ansatz for the rigidity transition in this model. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

345 | Soft glassy dynamics and rheology: A damped soft-sphere model | Thirumalaiswamy, Amruthesh; Riggleman, Robert; Crocker, John | In this work, we extend our previous study by performing bubble dynamics simulations with damped, non-inertial bubbles evolving similar to ripening observed in foams. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

346 | Crystallization Instability in Glass-Forming Mixtures | Royall, Paddy; Ingebrigsten, Trond; Dyre, Jeppe; Schroder, Thomas | Here we use GPU simulations to reveal a general nucleation mechanism in mixtures. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

347 | Cells on spheres: glassy dynamics of vertex models in curved space | Sussman, Daniel | The analogy between cellular monolayers and aggregates on the one hand and jammed solids or colloidal glasses on the other has provided a powerful framework for probing questions of rigidity, motilitiy, and collective excitations in dense biological tissues. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

348 | Anticipating Challenges of Propensity Measurements in Colloidal Systems | Donofrio, Cordell; Weeks, Eric | We introduce polydispersity by splitting the population of each of the binary components into its own binary where half are increased in size and the other half are decreased in size by the same percentage. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

349 | Glassy behavior and memory effects in the elastic response of a disordered protein | Morgan, Ian; Avinery, Ram; Beck, Roy; Saleh, Omar | We use a single-molecule stretching technique, magnetic tweezers, to force a disordered polyprotein out of equilibrium, and observe the relaxation of its end-to-end extension. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

350 | Crystallization properties of amorphous and supercooled liquid antimony | Mazzarello, Riccardo; Ronneberger, Ider; Chen, Yuhan; Zhang, Wei | In this talk, we investigate the structural and crystallization properties of amorphous and supercooled liquid models of pure and alloyed antimony by ab initio molecular dynamics. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

351 | Jammed solids held together with pins: The effect of pin geometry on structure and mechanical response | Graves, Amy; Packer, Liam; Jenike, Brian; Liloia, Ari; Ridout, Sean | Here, we address unanswered questions on the geometrical role that a scaffolding of fixed particles, or "pins", plays in structure and dynamical response of jammed, soft bi- or polydisperse particles. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

352 | Boundary and Interface Modes in Periodically Triangulated Origami | McInerney, James; Chen, Bryan; Theran, Louis; Santangelo, Christian; Rocklin, Zeb | Here, we investigate the linear modes of triangulated origami, for which the number of constraints matches the number of degrees of freedom, i.e. mechanical criticality. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

353 | High Throughput Mechanical Quantification of Glassy Thin Films using Additively Manufactured Elastomeric Lattices | Vaia, Richard; Auguste, Anesia; Schantz, Allen; Gillman, Andrew; Tibbits, Andrew; Buskohl, Philip | In this work, we will discuss a high throughput concept to measure the elastic moduli, plasticity and failure strain of thin polymer films. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

354 | Classical E&M with a twist: A geometric Hall effect without magnetic field | Schade, Nicholas; Schuster, David; Nagel, Sidney | We demonstrate a fundamentally novel use of geometry to create transverse potentials along curved paths without any magnetic field. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

355 | Rigidity Transitions in Flexible Polymer Networks | Little, Justin; Bruinsma, Robijn | We show that networks of flexible polymers in good solvent described by the Edward’s Hamiltonian undergo first-order rigidity transitions as the excluded volume interaction is increased. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

356 | Biological Regulatory Networks are Minimally Frustrated | Tripathi, Shubham; Kessler, David; Levine, Herbert | Here, using a Boolean modeling framework to compare the dynamical behavior of five real biological networks to that of random networks with similar topological features, we show that biological networks possess sets of stables states that are minimally frustrated. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

357 | Out-of-equilibrium dynamics of particle systems in infinite dimension | Agoritsas, Elisabeth; Maimbourg, Thibaud; Zamponi, Francesco | In this talk, I will sketch the derivation of this effective dynamics, highlighting in particular the few key ingredients of the high-dimensional physics and their possible relevance for finite-dimensional systems. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

358 | Beyond mean-field theories of glassy dynamics | Biroli, Giulio | I will present new theoretical frameworks that allow to go beyond the mean-field theory of glassy dynamics. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

359 | Stability Dependence of the Vibrational Properties of Glasses | Flenner, Elijah | Numerical methods generally create glasses by quenching mildly supercooled liquids, which limits the variation of glasses’ vibrational spectra and the ability to examine correlations between the properties and the vibrational spectra. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

360 | Gelation in Soft Matter: from Colloids to Decorated Protein Networks | Royall, Paddy; Rios de Anda, Ioatzin; Coutable-Pennarun, Angelique; Brasnett, Christopher; Whitelam, Stephen; Seddon, Annela; Russo, John; Anderson, Ross | We tune the structural properties and functional behavior of these decorated protein networks with a variety of soft matter and biochemical techniques [4]. | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

361 | Rigidity and glass transitions in collections of cells and fiber networks | Manning, M. Lisa | Rigidity and glass transitions in collections of cells and fiber networks | Session 22: Glassy Dynamics: From Simple Models to Biological Tissues |

362 | Mechanics of Deformation in 3D Granular Materials Using X-ray Measurements | Hurley, Ryan; Zhai, Chongpu; Herbold, Eric; Hall, Stephen | In this talk, I will discuss our experiments combining in-situ X-ray computed tomography (XRCT) and 3D X-ray diffraction (3DXRD) during the deformation of granular materials. | Session 23: Granular Flows Beyond Simple Mechanical Models |

363 | Dimensionality and viscosity exponent in shear-driven jamming | Olsson, Peter | Contrary to the prevailing picture, and in contrast to results from isotropic jamming from compression or quench, we find that the critical exponents in three dimensions are different from those in two dimensions and conclude that shear-driven jamming in two and three dimensions belong to different universality classes. | Session 23: Granular Flows Beyond Simple Mechanical Models |

364 | Identification of a universal data collapse in the rheology of granular media | Kim, Seongmin; Kamrin, Kenneth | We propose a reduced description of nonlocal phenomena in dense granular flows where the shear stress ratio μ is not locally determined by the inertial number (dimensionless shear rate) I. | Session 23: Granular Flows Beyond Simple Mechanical Models |

365 | Nonlocal rheology of dense granular flows: the effect of particle and boundary properties | Fazelpour, Farnaz; Tang, Zhu; Daniels, Karen | This model extends a local Bagnold-type granular flow law to include a Laplacian term governing the diffusion of fluidity. | Session 23: Granular Flows Beyond Simple Mechanical Models |

366 | Local plastic deformation in sheared highly polydisperse foams | Jiang, Yonglun; Weeks, Eric | We simulate the shear of dense two-dimensional foams using the Durian bubble model with a Lees-Edwards boundary condition. | Session 23: Granular Flows Beyond Simple Mechanical Models |

367 | Generalized Granular Resistive Force Theory for Rate-Dependent Intrusions | Karsai, Andras; Agarwal, Shashank; Kamrin, Kenneth; Goldman, Daniel | Based on the observed physics of the flow model simulation, we propose a modified RFT for arbitrary intruders that reconciles both cases using a geometry-dependent modification and an additional macro-inertial resistance, extending RFT beyond describing quasistatic intruding bodies. | Session 23: Granular Flows Beyond Simple Mechanical Models |

368 | Stick-slip and intermittent flow dynamics of a single-grain intruder driven through a granular medium with and without basal friction | Kozlowski, Ryan; Carlevaro, C; Daniels, Karen; Kondic, Lou; Pugnaloni, Luis; Socolar, Joshua; Zheng, Hu; Behringer, Robert | We report on experiments in which a grain-sized intruder is pushed by a spring through a quasi-2D granular material in an annular geometry. | Session 23: Granular Flows Beyond Simple Mechanical Models |

369 | Intruder dynamics in a 2D granular system: Effects of dynamic and static basal friction | Socolar, Joshua; Carlevaro, C; Pugnaloni, Luis; Kozlowski, Ryan; Zheng, Hu; Kondic, Lou | We discuss the results of simulations of an intruder pulled through a 2D granular system by a spring, using a model designed to lend insight into the experimental findings described by Kozlowski et al. [Phys. | Session 23: Granular Flows Beyond Simple Mechanical Models |

370 | Drafting of intruders in dry and fluid-saturated granular beds | Allen, Benjamin; Kudrolli, Arshad | We discuss an experimental study of the drag experienced by two vertical rods as they follow each other around a circular track while being dragged across a granular bed. | Session 23: Granular Flows Beyond Simple Mechanical Models |

371 | Reduction in Resistive Forces by Directional Air Fluidization in Dry Granular Media | Murray-Cooper, Mason; Karsai, Andras; Ozkan-Aydin, Yasemin; Naclerio, Nicholas; Hawkes, Elliot; Goldman, Daniel | Reduction in Resistive Forces by Directional Air Fluidization in Dry Granular Media | Session 23: Granular Flows Beyond Simple Mechanical Models |

372 | Properties of air-fluidized granular media | Lopez-Castano, Miguel Angel; González-Saavedra, Juan Francisco; Rodríguez-Rivas, Álvaro; Vega Reyes, Francisco | We study a 2D granular system of particles intercacting via a short-ranged potential, and thermalized homogeneously. | Session 23: Granular Flows Beyond Simple Mechanical Models |

373 | Granular chiral separation | Dong, Ruo-Yu; Lach, Slawomir; Sobolev, Yaroslav; Grzybowski, Bartosz; Granick, Steve | We corroborate the experimental finding with theoretical predictions and extend the single particle phenomena to multi-particles. | Session 23: Granular Flows Beyond Simple Mechanical Models |

374 | Super-Flory scaling in compressed micro-gel packings | Elgailani, Ahmed; Maloney, Craig | We perform multi-body finite element simulations of packings of hydrogel particles immersed in a large solvent bath in 2D at various particle volume fraction, φ using the Flory-Rehner constitutive law to model the mechanics of the hydrogel network. | Session 23: Granular Flows Beyond Simple Mechanical Models |

375 | Flow-Arrest Transition in Granular Materials | Srivastava, Ishan; Grest, Gary; Lechman, Jeremy; Silbert, Leo | In this talk, I will describe our stress-controlled granular simulations that indicate a highly stochastic nature of this transition with long-tailed distributions of flowing times before arrest, which diverge as a power law at a critical stress ratio. | Session 23: Granular Flows Beyond Simple Mechanical Models |

376 | Shear thickening and jamming of dense suspensions: the importance of rolling friction | Singh, Abhinendra; Ness, Christopher; De Pablo, Juan; Jaeger, Heinrich | We show via simulations that using rolling friction together with sliding friction can significantly decrease the volume fraction required for the onset of DST and SJ leading to enhanced shear thickening. | Session 23: Granular Flows Beyond Simple Mechanical Models |

377 | Tuning Solvent Chemistry to Suppress Shear-Jamming in Dense Suspensions | Van der Naald, Michael; Zhao, Liang; Jackson, Grayson; Jaeger, Heinrich | We here report both steady state rheology and the transient impact response tracked by high-speed ultrasound imaging [2] for silica nanoparticles dispersed in polyethylene glycols (PEGs) of varied chain lengths. | Session 23: Granular Flows Beyond Simple Mechanical Models |

378 | Yielding and Rigidity of Sheared Columns of Hexapod Granules | Zhao, Yuchen; Barés, Jonathan; Socolar, Joshua | For small α, we observe a finite yield stress. | Session 23: Granular Flows Beyond Simple Mechanical Models |

379 | Chaotic particle dynamics above and below yield in a 2D jammed material | Galloway, Larry; Jerolmack, Doug; Arratia, Paulo | Here we present detailed quantification of Lagrangian properties (displacement lengths, arc-lengths, and enclosed area) of experimentally obtained particle trajectories for the purpose of illuminating where plasticity occurs in space and time both above and below yield. | Session 23: Granular Flows Beyond Simple Mechanical Models |

380 | The precursors to stick-slip events in sheared granular systems | Cheng, Chao; Basak, Rituparna; Kramar, Miroslav; Kondic, Lou | The purpose of our study is to explore the existence of precursors to slip events. | Session 23: Granular Flows Beyond Simple Mechanical Models |

381 | Jamming and tiling in fragmentation of rectangles | Ben-Naim, Eli; Krapivsky, Paul | We investigate a stochastic process where a rectangle breaks into smaller rectangles through a series of horizontal and vertical fragmentation events. | Session 23: Granular Flows Beyond Simple Mechanical Models |

382 | Contact breaking in packings of frictional disks | Chen, Yan; Wang, Philip; Wu, Qikai; Shattuck, Mark; O’Hern, Corey | We employ discrete element modeling simulations of the geometrical asperity or "bumpy particle" model to study the nonlinear vibrational response of jammed packings of frictional disks. | Session 23: Granular Flows Beyond Simple Mechanical Models |

383 | Modelling granular fragmentation in compacted systems | Clemmer, Joel; Bolintineanu, Dan; Lechman, Jeremy | We explore the compaction of brittle granular systems using large-scale discrete element simulations. | Session 23: Granular Flows Beyond Simple Mechanical Models |

384 | Electrostatic Attraction between Like-Charged Particles | Reggio, Benjamin; Tewari, Shubha | To more accurately model the origin of these attractive forces, we study the effective interaction between two dielectric spherical shells with like charge as a function of their size and charge ratios, and the dielectric constant of each. | Session 23: Granular Flows Beyond Simple Mechanical Models |

385 | Unforgettable random walks: forces and displacements distributions in granular systems. | Peshkov, Anton; Benson, Zackery; Richardson, Derek; Losert, Wolfgang | We show the latter to be a natural product of contacts that reign between particles. | Session 23: Granular Flows Beyond Simple Mechanical Models |

386 | Weakening, compaction and creep from vibration in sheared granular materials | Taylor, Stephanie; Clark, Abe; Brodsky, Emily | With laboratory experiments and discrete element method simulations, we show that low amplitude high frequency vibrations are capable of significantly reducing frictional resistance over a range of velocities in actively shearing systems. | Session 23: Granular Flows Beyond Simple Mechanical Models |

387 | Flow of emulsions in heterogeneous media | LE BLAY, Marine; Bartolo, Denis | Increasing the driving flow, we identify a sharp transition between a creeping regime and a mobilization regime where a finite fraction of the droplets proceed through a sparse network of branched and reconnected rivers. | Session 24: Granular, Porous Media, & Multiphase Flows |

388 | Controlling capillary fingering using pore size gradients in disordered media | Lu, Nancy; Browne, Christopher; Amchin, Daniel; Nunes, Janine; Datta, Sujit | Here, we investigate how this process is influenced by a pore size gradient. | Session 24: Granular, Porous Media, & Multiphase Flows |

389 | Fluid Flow Mechanisms in Shale Organic Nanopores | Perez Valencia, Felipe; Devegowda, Deepak | In this work we use molecular dynamics simulations to create molecular models of organic matter (kerogen) that host a hydrocarbon mixture that is liquid at normal conditions of pressure and temperature. | Session 24: Granular, Porous Media, & Multiphase Flows |

390 | Colloidal transport in porous media: Pore-scale interplay of advection, deposition, and erosion | Bizmark, Navid; Schneider, Joanna; Priestley, Rodney; Datta, Sujit | Here, we use a transparent model porous medium to directly image in 3D the interplay between adsorption and erosion events at the pore scale. | Session 24: Granular, Porous Media, & Multiphase Flows |

391 | CFD-DEM Study of Anomalous Collapse of Interacting Bubbles into an Incipiently Fluidized Bed | Padash, Azin; Boyce, Christopher | CFD-DEM Study of Anomalous Collapse of Interacting Bubbles into an Incipiently Fluidized Bed | Session 24: Granular, Porous Media, & Multiphase Flows |

392 | Colloid-Enhanced Mobilization of Immiscible Fluids in Porous Media | Schneider, Joanna; Bizmark, Navid; Priestley, Rodney; Datta, Sujit | Here, we show that injection of colloidal particles improves contaminant removal from a porous medium compared to ambient flow alone. | Session 24: Granular, Porous Media, & Multiphase Flows |

393 | Complex Conductivity in Saturated Porous Media: Role of Membrane Polarization | Li, Qiuzi; Feng, Lang; Cameron, Steve; Deckman, Harry; Ertas, Deniz | We establish a theoretical framework relating spectral complex conductivity in these systems to the geometry and intrinsic properties of the materials, and validate the results with experiments on model systems. | Session 24: Granular, Porous Media, & Multiphase Flows |

394 | Nonlinear acoustic resonance and wave-induced softening in dense granular matter through flow heterogeneities | Lieou, Charles; Laurent, Jerome; Johnson, Paul; Jia, Xiaoping | We report a series of experiments on the softening and compaction of a dense granular pack through traveling acoustic pressure and shear waves. | Session 24: Granular, Porous Media, & Multiphase Flows |

395 | Scaling and dynamics of impacts into cornstarch and water suspensions | Brassard, Marc; Causley, Neil; Dijksman, Joshua; Clark, Abe | Recent work has shown that the forces during the initial moments of impact are too large to be described by discontinuous shear thickening (DST), which is a steady-state description. | Session 24: Granular, Porous Media, & Multiphase Flows |

396 | Peak Force Scaling During Impacts into Wet and Dry Granular Materials | Causley, Neil; Krizou, Nasser; Brassard, Marc; Dijksman, Joshua; Clark, Abe | We show that the magnitude and time scales of the peak forces obey power law scaling that is similar across the different types of materials we study, and we use dimensional analysis to isolate the relevant physical mechanisms. | Session 24: Granular, Porous Media, & Multiphase Flows |

397 | Proper Spatial Average Operators in a Heterogeneous Porous Medium | Taghizadeh, Ehsan; Wood, Brian | In this work, we explore a wide range of kernel functions commonly used in Bayesian statistics to evaluate their functionality in attenuating geometrical fluctuations arising from sudden change in the porosity in a heterogeneous porous medium. | Session 24: Granular, Porous Media, & Multiphase Flows |

398 | Fluid Flow with Suspended Soft Particles in Porous Media | Li, Shuaijun; Fan, Jing | In this work, we study transport of mono-dispersed suspended soft particles in porous media. | Session 24: Granular, Porous Media, & Multiphase Flows |

399 | Granular packings with sliding, rolling and twisting friction | Santos, Andrew; Srivastava, Ishan; Bolintineanu, Dan; Lechman, Jeremy; Grest, Gary; Silbert, Leo | We perform discrete element modeling simulations to construct sphere packings implementing a range of frictional constraints under a stress-controlled protocol. | Session 24: Granular, Porous Media, & Multiphase Flows |

400 | Elastogranular Buckling of a Slender Ring | Schunter, Jr., David; Holmes, Douglas | Previous work has focused on thin structures deforming within media that, in general, have both compositional and mechanical homogeneity. | Session 24: Granular, Porous Media, & Multiphase Flows |

401 | Using time-dependent random resistor networks to capture the dynamics of flow in disordered porous media | Zareei, Ahmad; Parsa, Shima; Weitz, David; Amir, Ariel | In order to better understand the effect of microstructure on flow behavior, we study a model based on a disordered network of tubes, mathematically equivalent to a random resistor network. | Session 24: Granular, Porous Media, & Multiphase Flows |

402 | The Hofstadter’s butterfly: from playing with numbers to studying quantum materials (Dannie Heineman Prize for Mathematical Physics talk) | Jitomirskaya, Svetlana | We discuss some results on the Harper’s operator – the model behind the Hofstadter’s butterfly: metal-insulator transitions of two kinds, the Ten Martini problem, the proof of Thouless’ conjecture from the early 80s: that Hausdorff dimension of the spectrum is bounded by 1/2 for all irrational fluxes, as well as the discovery of self-similar (reflective-)hierarchical structure of eigenfunctions throughout the localization regime. | Session 25: Heineman/Faculty/Greene Prize Session |

403 | A common tool for uncommon measurements: Adventures in atomic force microscopy | Aidala, Katherine | In this talk, I’ll present three different subfields of research that all involve the atomic force microscope. | Session 25: Heineman/Faculty/Greene Prize Session |

404 | Richard L. Greene Dissertation Award Talk: Probing Hidden Symmetries with Raman Scattering | Kung, Hsiang-Hsi | Here, we use polarization resolved Raman scattering to directly probe the collective modes with A 2g symmetry in two examples. | Session 25: Heineman/Faculty/Greene Prize Session |

405 | Delafossite oxides: natural, ultra-pure metal-insulator heterostructures | Sunko, Veronika | Concentrating on the metal/Mott insulator heterostructure and the Rashba-like surface states, I will show how the simplicity of the materials allows us to pinpoint to the underlying cause for the remarkable electronic behaviour, and in turn to use delafossites as model systems to understand complex phenomena. | Session 25: Heineman/Faculty/Greene Prize Session |

406 | Hybridizing Spin, Charge and Photon on a Quantum Chip | Mi, Xiao | We will cover the physics and technical developments that have led to the first observations of strong-coupling between a single electron charge in gate-defined quantum dots and a microwave photon [1] and strong-coupling between a single electron spin and a single photon [2]. | Session 25: Heineman/Faculty/Greene Prize Session |

407 | What can and can’t Machine Learning do for Physics? | Mehta, Pankaj | What can and can’t Machine Learning do for Physics? | Session 26: Inference, Information, and Learning in Biophysics: |

408 | Coarse scale representation of spiking neural networks: from dynamics to backpropagation through spikes | Yanguas-Gil, Angel | In this work we have explored the development of coarse scale representations of leaky integrate and fire neurons that operate at this timescale. | Session 26: Inference, Information, and Learning in Biophysics: |

409 | Towards a grammar of probabilistic models for large biological networks | Fleig, Philipp; Nemenman, Ilya | Here we present first steps of an approach to overcome this obstacle. | Session 26: Inference, Information, and Learning in Biophysics: |

410 | Different noise assumptions yield qualitatively different landscapes and transition paths in gene regulation models | Vastola, John; Holmes, William | Building on earlier work that analyzed one and two gene toy models, we present results on how noise assumptions affect landscapes and transition paths in models of the epithelial-to-mesenchymal transition (EMT) and early T cell development. | Session 26: Inference, Information, and Learning in Biophysics: |

411 | Stochastic Modelling of Dynein Motors on a One-Dimensional Lattice: Dynamics and Stationary State | Nandi, Riya; ., Priyanka | Inspired by the dynamics of dyneins, we have developed a model of an exclusion process on a one-dimensional lattice, where the motors can move in the forward direction up to four steps depending on the load attached to it. | Session 26: Inference, Information, and Learning in Biophysics: |

412 | Limits to biochemical signalling in a changing environment as an inference problem | Mora, Thierry; Nemenman, Ilya | Here, we calculate a new bound to concentration sensing of a changing concentration by mapping the problem onto a field theory through Bayesian inference, which we solve using a Gaussian approximation. | Session 26: Inference, Information, and Learning in Biophysics: |

413 | Human information processing in complex networks | Lynn, Christopher; Papadopoulos, Evangelia; Kahn, Ari; Bassett, Danielle | Here we develop an analytical framework to study the information generated by a system as perceived by a human observer. | Session 26: Inference, Information, and Learning in Biophysics: |

414 | Information tradeoffs in sensing and sampling | Holmes, Caroline; Bialek, William | We explore this tradeoff, asking about the maximum entropy of the sampling lattice that is consistent with gathering a certain amount of information from a Gaussian random signal; bits of sensory information are traded against bits of positional information. | Session 26: Inference, Information, and Learning in Biophysics: |

415 | Optical reservoir computing with tumor spheroids | Pierangeli, Davide; Palmieri, Valentina; Marcucci, Giulia; Moriconi, Chiara; Perini, Giordano; De Spirito, Marco; Papi, Massimiliano; Conti, Claudio | We demonstrate a random optical network realized by tumor spheroids. | Session 26: Inference, Information, and Learning in Biophysics: |

416 | Stochastic Force Inference | Ronceray, Pierre; Frishman, Anna | We propose a principled framework, Stochastic Force Inference, for the inverse problem of Brownian dynamics: reconstruct spatially dependent force and diffusion fields from individual trajectories. | Session 26: Inference, Information, and Learning in Biophysics: |

417 | Predicting the future from the past in visual object motion: optimal representations of mixed stochastic/deterministic trajectories | Sachdeva, Vedant; Walczak, Aleksandra; Mora, Thierry; Palmer, Stephanie | Here, we propose that the encoding scheme used by such biological systems can be predicted by the information bottleneck method. | Session 26: Inference, Information, and Learning in Biophysics: |

418 | Quantifying success and failure in simple models of large neural populations | Meshulam, Leenoy; Gauthier, Jeffrey; Brody, Carlos; Tank, David; Bialek, William | In statistical physics we routinely study models for collective behaviors that are simpler than the underlying microscopic mechanisms. | Session 26: Inference, Information, and Learning in Biophysics: |

419 | Quantifying temporal information accumulation for biochemical signaling dynamics | Tang, Ying; Adelaja, Adewunmi; Ye, Xiaofeng; Deeds, Eric; Wollman, Roy; Hoffmann, Alexander | We find that a type of stochastic process can be used to represent the signaling activities that show a high degree of cell-to-cell variability. | Session 26: Inference, Information, and Learning in Biophysics: |

420 | The strange case of Dr Jekyll and Mr Hyde: The two faces of singular models. | Wiggins, Paul | In this talk, we will explore the phenomenology of learning from two physical perspectives: First, we explore the correspondence between statistical physics and statistics and demonstrate that there is equivalence between predictive performance and heat capacity, which gives new physical insight into why learning has universal scaling as well as explaining how and why these universal rules fail in the context of singular models. | Session 26: Inference, Information, and Learning in Biophysics: |

421 | Learning dynamical information from static protein and sequencing data | Pearce, Philip; Woodhouse, Francis; Forrow, Aden; Kelly, Ashley; Kusumaatmaja, Halim; Dunkel, Jorn | Here, we introduce a flexible and robust numerical framework to infer Markovian transition networks directly from time-independent data sampled from stationary equilibrium distributions. | Session 26: Inference, Information, and Learning in Biophysics: |

422 | Associative Memory of Structured Knowledge | Steinberg, Julia; Sompolinsky, Haim | We model each knowledge structure as a set of binary relations between events and cues (cues may represent e.g., temporal order, spatial location, role in semantic structure). | Session 26: Inference, Information, and Learning in Biophysics: |

423 | Can model reduction replace expert intuition for modeling complex biological systems? | Petrie, Cody; Bjork, Dane; Transtrum, Mark | We report on a comparative study of model reduction of the Wnt signaling pathway, comparing automatic methods with expert intuition. | Session 26: Inference, Information, and Learning in Biophysics: |

424 | Limits on the suppression of molecular fluctuations and oscillation dephasing in stochastic reaction networks | Yan, Jiawei; Paulsson, Johan | Here we aim to identify general principles in stochastic reaction networks that apply regardless of parameters and the form of rate functions. | Session 26: Inference, Information, and Learning in Biophysics: |

425 | Kalman-like Self-Tuned Sensitivity in Biophysical Sensing | Husain, Kabir; Pittayakanchit, Weerapat; Pattanayak, Gopal; Rust, Michael; Murugan, Arvind | Here, we argue that living cells can navigate these conflicting demands by dynamically tuning their environmental sensitivity. | Session 26: Inference, Information, and Learning in Biophysics: |

426 | Searching for the Relevant Properties of Binary Datasets: Is your Model Truly Pairwise? | De Mulatier, Clelia; Mazza, Paolo; Marsili, Matteo | Information theory provides a quantitative method to select the best of potential explanations for data, by optimizing the balance between goodness-of-fit and simplicity. | Session 26: Inference, Information, and Learning in Biophysics: |

427 | Information efficiency of bacterial chemotaxis | Mattingly, Henry; Kamino, Keita; Zhang, Xiaowei; Machta, Benjamin; Emonet, Thierry | We show that climbing a gradient with drift speed vD requires an information rate of at least I φ→ M = 12 Dr ( vD/ v0) 2 (1- TB), where Dr is the rate of rotational diffusion, v0 is the run speed, and TB is the fraction of time the cell is tumbling. | Session 26: Inference, Information, and Learning in Biophysics: |

428 | Decision-making at a T-junction by gradient-sensing agents | Gandhi, Tanvi; Huang, Jinzi; Aubret, Antoine; Li, Desmond; Ramananarivo, Sophie; Vergassola, Massimo; Palacci, Jeremie | In our study, we investigate the navigation of inert particles in a network that has multiple junctions. | Session 26: Inference, Information, and Learning in Biophysics: |

429 | Trading bits in the readout of positional information | Bauer, Marianne; Bialek, William; Gregor, Thomas; Petkova, Mariela; Wieschaus, Eric | We show that to capture ~90% of the available information, we need more bits than intuitively biologically reasonable. | Session 26: Inference, Information, and Learning in Biophysics: |

430 | Single-Molecule Conductance and Conformational Analysis with Engineered Nano-Junctions for Nucleic Acid Sequencing | Korshoj, Lee; Afsari, Sepideh; Chatterjee, Anushree; Nagpal, Prashant | We address these issues by engineering nano-junctions for conductance measurements on conformationally constrained single nucleotides within electrostatically bound DNA molecules on a self-assembled cysteamine monolayer. | Session 26: Inference, Information, and Learning in Biophysics: |

431 | Pressure-dependent shear response of jammed packings of frictionless, spherical particles | VanderWerf, Kyle; Boromand, Arman; Shattuck, Mark; O’Hern, Corey | Previous studies have shown that, at small pressure p, the ensemble-averaged static shear modulus < G- G 0> scales with p α, where α ≈ 1, but above a characteristic pressure p**, < G- G 0> scales with p β, where β ≈ 0.5. | Session 27: Jamming, Criticality, and the Gardner Transition |

432 | Gardner physics in three-dimensional structural glasses | Scalliet, Camille; Berthier, Ludovic; Zamponi, Francesco | Based on mean-field results [1], we present a comprehensive numerical study of 3d glasses. | Session 27: Jamming, Criticality, and the Gardner Transition |

433 | Dimensional Dependence of Scaling Prefactors in Overjammed Systems | Sartor, James; Corwin, Eric | We present measurements of these prefactors in dimensions 2-10. | Session 27: Jamming, Criticality, and the Gardner Transition |

434 | Vibrational Properties of Hard and Soft Spheres are Unified at Jamming | Arceri, Francesco; Corwin, Eric | The study of the vibrational properties in hard spheres has proven to be challenging to measure numerically because no analytic interaction is defined. | Session 27: Jamming, Criticality, and the Gardner Transition |

435 | Effect of annealing on the nature of the yielding transition of amorphous solids | Sastry, Srikanth; Bhaumik, Himangsu; Foffi, Giuseppe | We analyse the manner in which the discontinuous nature of the transition changes with annealing and compare our results with recent results analysing the effect of annealing in glasses [4]. | Session 27: Jamming, Criticality, and the Gardner Transition |

436 | Universal non-mean-field scaling in the density of states of amorphous solids | Ikeda, Harukuni | We hereby provide a theoretical framework to describe this universal scaling behavior. | Session 27: Jamming, Criticality, and the Gardner Transition |

437 | A jamming plane of sphere packings | Jin, Yuliang; Yoshino, Hajime | Here we show numerically that the phase space of frictionlessly jammed states can be extended from the well-known jamming-point along the density axis to a jamming plane spanned by the density and shear-strain axes,. | Session 27: Jamming, Criticality, and the Gardner Transition |

438 | Out-of-equilibrium jamming of liquids and glasses: memory and criticality | Morse, Peter; Charbonneau, Patrick | In this talk, we present a new method to jam hard sphere liquids efficiently, which enables us to reliably detect this onset and relate its value with the mean-field prediction. | Session 27: Jamming, Criticality, and the Gardner Transition |

439 | Creating ultra-stable jammed packings by training on pressure | Faghir Hagh, Varda; Corwin, Eric; Manning, M. Lisa; Liu, Andrea; Nagel, Sidney | Here, we train packings of soft harmonic spheres based on their per-particle pressures. | Session 27: Jamming, Criticality, and the Gardner Transition |

440 | Intruder dynamics in granular flow | Newlon, Scott; Silbert, Leo | Intruder dynamics in granular flow | Session 27: Jamming, Criticality, and the Gardner Transition |

441 | One-step replica-symmetry-breaking phase in low-dimensional spin glasses | Hoeller, Judith; Read, Nicholas | It is long known that mean-field theory of an Ising spin glass predicts a second-order phase boundary in the temperature–magnetic field plane between a paramagnet and a replica-symmetry-breaking phase. | Session 27: Jamming, Criticality, and the Gardner Transition |

442 | Origin of Two-Step Glass Transition in 2D Colloidal Suspension of Rods | Liu, Xinzhuo; Wang, Huaguang; Zhang, Zexin; Ling, Xinsheng | We report an experimental study of monolayers of colloidal rods which exhibits a two-step glass transition with no appearance of nematic domains. | Session 27: Jamming, Criticality, and the Gardner Transition |

443 | Kinetic theory of defect dynamics in active nematics | Marchetti, M Cristina | In this talk I will show that, focusing on the defects as the relevant quasiparticles driving the non-equilibrium dynamics, we can formulate a kinetic theory of the active defect gas and describe the onset of active turbulence as activity-driven defect unbinding. | Session 28: Kinetic Theory and Its Applications in the Physical, Biological and Social Sciences |

444 | Kinetic theory for financial Brownian motion: a microscopic model based on forex data analysis and its mean-field theory | Kanazawa, Kiyoshi | In this presentation, we will show our recent kinetic approach (K. Kanazawa et al., PRL 2018; PRE 2018) to financial Brownian motion in the context of high-frequency data analyses. | Session 28: Kinetic Theory and Its Applications in the Physical, Biological and Social Sciences |

445 | A generalization of the Glansdorff-Prigogine criterion for stability based on information geometry and thermodynamic uncertainty relationships | Ito, Sosuke | To consider the relationship between the excess entropy production and the Fisher information of time, we have generalized the Glansdorff-Prigogine criterion for stability. | Session 28: Kinetic Theory and Its Applications in the Physical, Biological and Social Sciences |

446 | Pattern Selection of Shallow Suspensions of Shrimp | Welsh, Andrea; Singal, Krishma; Velivela, Divya; Finch, Ellie; Barnhill, Michael; Fenton, Flavio | We discuss the three-dimensional patterns that can be observed in brine shrimp swarms, specifically of the Great Salt Lake strain of Artemia franciscana, at high concentration . | Session 28: Kinetic Theory and Its Applications in the Physical, Biological and Social Sciences |

447 | Hydrodynamics of Active Lévy Matter | Cairoli, Andrea; Lee, Chiu Fan | Here, we formulate the hydrodynamic description of active Lévy matter by coarse-graining a microscopic model of alignment interacting active particles performing superdiffusion manifest as Lévy flights. | Session 28: Kinetic Theory and Its Applications in the Physical, Biological and Social Sciences |

448 | Towards a statistical mechanics of chiral active gases | Han, Ming; Fruchart, Michel; Scheibner, Colin; Vaikuntanathan, Suriyanarayanan; Irvine, William; De Pablo, Juan; Vitelli, Vincenzo | In this talk, we present the footprints of a statistical mechanical treatment of chiral active fluids composed of self-spinning particles. | Session 28: Kinetic Theory and Its Applications in the Physical, Biological and Social Sciences |

449 | Hydrodynamic memory and driven microparticle transport: hedging against fluctuating sources of energy | Seyler, Sean; Pressé, Steve | In this work, we numerically solve the BBO equation to simulate driven microparticles and show that hydrodynamic memory generally reduces transport friction, particularly when driving forces do not vary smoothly. | Session 28: Kinetic Theory and Its Applications in the Physical, Biological and Social Sciences |

450 | Cargo transport by dissipative solitons-director bullets in nematics | Li, Bingxiang; Xiao, Rui-Lin; Shiyanovskii, Sergij; Lavrentovich, Oleg | Here, we demonstrate that the bullets can be generated around colloidal spheres with both tangential and radial anchoring, dispersed in the nematic. | Session 28: Kinetic Theory and Its Applications in the Physical, Biological and Social Sciences |

451 | Brownian motion in confinement | Lavaud, Maxime; Soulard, Pierre; Bertin, Vincent; Dean, David; Sarfati, Raphael; Raphael, Elie; Louyer, Yann; Salez, Thomas; Amarouchene, yacine | Here, we study the diffusion of micrometer-sized beads in water confined between two walls that are separated by a micrometric distance. | Session 28: Kinetic Theory and Its Applications in the Physical, Biological and Social Sciences |

452 | Superdiffusion and diffusion in active matter using a stochastic field theory | Underhill, Patrick; Kramer, Peter | In this talk, we will describe our new approach which uses a stochastic field to overcome the limitations of the mean field assumption. | Session 28: Kinetic Theory and Its Applications in the Physical, Biological and Social Sciences |

453 | Disordered hyperuniform state of circularly swimming algae | Huang, Mingji; Hu, Wensi; Yang, Siyuan; Liu, Quan-Xing; Zhang, Hepeng | Here we show that density fluctuations in active system can be greatly suppressed. | Session 28: Kinetic Theory and Its Applications in the Physical, Biological and Social Sciences |

454 | Learning the onset of frictional motion | Bar-Sinai, Yohai | I will show that, in a well-controlled laboratory setup with detailed interfacial measurements, relatively simple linear models can explain much of the observed variance, indicating that a significant portion of the uncertainty is non-stochastic and is encoded in the frictional interface. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

455 | Detecting Depinning and Nonequilibrium Transitions with Unsupervised Machine Learning | McDermott, Danielle; Reichhardt, Cynthia; Reichhardt, Charles | Using numerical simulations of a model disk system, we demonstrate that a machine learning generated order parameter can detect depinning transitions and different dynamic flow phases in systems driven far from equilibrium. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

456 | Machine Learning and Benchtop Experiments | Rubinstein, Shmuel | In this talk, I will address our approach to these questions, sharing our attempts to leverage lab models of complex systems for this study. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

457 | Supervised Autoencoder for Inverse Kirigami Design | Hanakata, Paul; Cubuk, Ekin; Campbell, David; Park, Harold | Recently, machine learning (ML) methods have shown successes in predicting mechanical properties of composite materials as a forward solver. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

458 | Softness Correlations in Low-Temperature Supercooled Liquids | Chacko, Rahul; Landes, François; Biroli, Giulio; Dauchot, Olivier; Liu, Andrea; Reichman, David | This can be quantified using a machine learning approach, yielding a linear model mapping local structure to "softness", a quantity that predicts the propensity of a particle to rearrange [3]. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

459 | Data-driven inference of thermodynamic properties from non-equilibrium stochastic fluctuations | Jung, Yoon; Li, Junang; Fakhri, Nikta | Here, we present a data-driven approach for inferring system properties based on scattering transforms. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

460 | Inverse learning of material physics through in-situ image data and continuum modeling | Zhao, Hongbo; Storey, Brian; Braatz, Richard; Bazant, Martin | Using a framework of PDE-constrained optimization, we demonstrate that multiple constitutive relations can be extracted simultaneously from a small set of images of pattern formation. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

461 | Using Machine Learning to analyze Defect Annihilation Dynamics in Smectic C films | Glaser, Matthew; Minor, Eric; Howard, Stian; Green, Adam; Park, Cheol; Clark, Noel | We demonstrate a method for training a convolutional neural network with simulated images for usage in the study of topological defect annihilation in freely-suspended SmC liquid crystal films. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

462 | Experimental Realization of Reservoir Computing with Wave Chaotic Systems | Ma, Shukai; Antonsen, Thomas; Ott, Edward; Chandra, Sarthak; Anlage, Steven | We propose unique techniques to create virtual RC nodes by both frequency stirring and spatial perturbation. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

463 | Chaotic source separation solved by a tank of water through invertible generalized synchronization | Lu, Zhixin; Kim, Jason; Bassett, Danielle | From the perspective of dynamical systems, we propose a supervised learning framework that can solve this problem through an intermediate dynamical system. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

464 | The Dependence of Reservoir Computing on System Parameters | Pecora, Louis; Carroll, Thomas | We examined several aspects of RC using fitting and prediction of signals as a benchmark. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

465 | Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks | Bassler, Kevin; Guo, Jiahao; Singh, Pramesh | We introduce an ensemble learning scheme for community detection in complex networks. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

466 | Visualizing statistical models in Minkowski space: an analytical coordinate embedding | Teoh, Han Kheng; Quinn, Katherine; Clement, Colin; Kent-Dobias, Jaron; Xu, Qingyang; Sethna, James | Dimensionality reduction techniques are often used to provide a lower dimensional description of high dimensional data. | Session 29: Machine Learning in Nonlinear Physics and Mechanics |

467 | Protein condensates as aging Maxwell fluids | Jawerth, Louise | Here, we present our efforts to quantify these new materials as they age in vitro. | Session 30: Macromolecular Phase Separation in Biology |

468 | Surface Fluctuations and Coalescence of Nucleolar Droplets in the Human Cell Nucleus | Caragine, Christina; Haley, Shannon; Zidovska, Alexandra | Our study presents a noninvasive approach, using natural probes to investigate material properties of the cell as well as to understand the physical interactions between nucleoli and chromatin solution [1,3]. | Session 30: Macromolecular Phase Separation in Biology |

469 | Phase separation in the nucleus is limited by chromatin mechanics | Zhang, Yaojun; Lee, Daniel; Meir, Yigal; Brangwynne, Cliff; Wingreen, Ned | Here, we combine coarse-grained molecular dynamics simulations and theory of liquid-liquid phase separation to show that mechanical interactions with chromatin can constrain the size of droplets in the nucleus. | Session 30: Macromolecular Phase Separation in Biology |

470 | Subdiffusive Dynamics of Optogenetic Droplets Report on Local Chromatin Mechanics | Lee, Daniel; Shimobayashi, Shunsuke; Chang, Yi-Che; Strom, Amy; Wingreen, Ned; Brangwynne, Cliff | Here, we show that droplet growth dynamics are directly inhibited by chromatin. | Session 30: Macromolecular Phase Separation in Biology |

471 | Converting Stochastic Assembly into an Assembly Line: Non-Equilibrium Droplet Dynamics Assists Ribosome Formation | Harmon, Tyler; Julicher, Frank | We show numerically and analytically that the binding of specific rProteins to rRNA can be localized within a well-defined radial shell inside the nucleolus instead of being homogeneously distributed. | Session 30: Macromolecular Phase Separation in Biology |

472 | Reentrant Liquid Condensation of Ribonucleoprotein–RNA Complexes | Raju, Muralikrishna; Laghmach, Rabia; Potoyan, Davit | Using an archetypal disordered RNP, fused in sarcoma (FUS), here we employ atomistic simulations to study how RNA, a primary component of RNP granules, can modulate the phase behavior of RNPs by controlling both droplet assembly and dissolution. | Session 30: Macromolecular Phase Separation in Biology |

473 | Size selection of phase-separated liquid droplets in strain-stiffening elastic networks | Mao, Sheng; Haataja, Mikko; Kosmrlj, Andrej | Motivated by these observations, we developed a model to investigate the coupling between the separating liquid mixture and the elastic network. | Session 30: Macromolecular Phase Separation in Biology |

474 | A hydrodynamic instability drives TPX2 protein droplet formation on microtubules and leads to branching microtubule nucleation | Setru, Sagar; Gouveia, Bernardo; Alfaro-Aco, Raymundo; King, Matthew; Stone, Howard; Shaevitz, Joshua; Petry, Sabine | Using atomic force microscopy, fluorescence imaging, electron microscopy, and hydrodynamic theory, we show that the dynamics of liquid TPX2 are crucial for nucleating branched microtubules. | Session 30: Macromolecular Phase Separation in Biology |

475 | Motif Sequences and Intracellular Phase Separation | Weiner, Benjamin; Meir, Yigal; Wingreen, Ned | We propose a statistical physics model of IDPs to elucidate the relationship between motif sequence, the phase boundary, and the partitioning of proteins between phases. | Session 30: Macromolecular Phase Separation in Biology |

476 | Coupling signaling cascades to membrane criticality | Schaffner, Taylor; Machta, Benjamin | In order to create a theory that explains the interplay between signaling cascades and membrane criticality, here we present a model and Monte-Carlo simulation framework for proteins coupled to their surrounding lipid membrane using a 2D Ising model. | Session 30: Macromolecular Phase Separation in Biology |

477 | Wetting of Critical Membranes by Protein Droplets | Rouches, Mason; Veatch, Sarah; Machta, Benjamin | Here, we consider the underlying thermodynamics of this interaction, constructing a minimal Landau theory describing the wetting of protein droplets to a near-critical membrane. | Session 30: Macromolecular Phase Separation in Biology |

478 | Probing the Dynamics of Optically Induced Protein Droplets with Single-Walled Carbon Nanotubes | Higinbotham, Hugh; Coupe, Sebastian; Jung, Yoon; Fakhri, Nikta | Here, we use single-walled carbon nanotubes (SWNTs), which fluoresce in the near infrared and are photostable, to probe the local environment of optically induced protein droplets in vivo. | Session 30: Macromolecular Phase Separation in Biology |

479 | Measuring protein concentrations in biomolecular condensates via quantitative phase microscopy | McCall, Patrick; Kim, Kyoohyun; Wang, Jie; Fritsch, Anatol; Poznyakovskiy, Andrey; Diederich, Benedict; Kreysing, Moritz; Heintzmann, Rainer; Guck, Jochen; Alberti, Simon; Brugués, Jan; Hyman, Anthony | To address these, we use quantitative phase microscopy and optical diffraction tomography to measure the refractive index of model condensates, from which the protein concentration may be inferred. | Session 30: Macromolecular Phase Separation in Biology |

480 | Pollen cell walls form from modulated phases | Radja, Asja; Sweeney, Alison; Lavrentovich, Maxim | We formulated a Landau-Ginzburg free energy description of this process in which we treat the primexine concentration as a scalar field coupled to the cell membrane and calculated the equilibrium states. | Session 30: Macromolecular Phase Separation in Biology |

481 | Designing morphology of separated phases in multicomponent liquid mixtures | Chakraverti-Wuerthwein, Milena; Mao, Sheng; Gaudio, Hunter; Haataja, Mikko; Kosmrlj, Andrej | We developed a novel method based on graphs that enabled us to enumerate all topologically distinct morphologies of separated phases. | Session 30: Macromolecular Phase Separation in Biology |

482 | Microscopic Model of a Biological Condensate | Htun, Swan; Chou, Han-Yi; Sarthak, Kumar; Aksimentiev, Aleksei | Using existing structural and biochemical information, we constructed a coarse-grained model of the FUS protein. | Session 30: Macromolecular Phase Separation in Biology |

483 | Microstructure in biological phase transition | Bhandari, Kamal; Schmit, Jeremy | Since the condensed phase has a low density, we propose that molecules are highly aligned to form zipper structures. | Session 30: Macromolecular Phase Separation in Biology |

484 | Experimental determination of binodal compositions of protein and peptide solutions | Filippidi, Emmanouela; Julicher, Frank; Hyman, Anthony | We will present quantitative measurements of both branches of the binodal curves of the phase diagrams obtained via quantitative phase imaging microscopy for the protein FUS and simpler peptide sequences. | Session 30: Macromolecular Phase Separation in Biology |

485 | Spinodal Dynamics in Non-Equilibrium Compression of Two Self-Avoiding Polymer Chains | Zeng, Lili; Seyboldt, Rabea; Liu, Zezhou; Capaldi, Xavier; Khorshid, Ahmed; Francois, Paul; Provatas, Nikolas; Reisner, Walter | We interpret this phenomenon as a spinodal decomposition of the two polymers and rationalize it using a model based on a 1D convective Cahn-Hilliard equation, a classic model describing spinodal decomposition in driven binary systems. | Session 30: Macromolecular Phase Separation in Biology |

486 | Relating chemical and physical properties controlling oligonucleotide polyelectrolyte complex phase separation | Marras, Alexander; Vieregg, Jeffrey; Lueckheide, Michael; Tirrell, Matthew | Here, we present an investigation of the impact of physical and chemical properties of each polyelectrolyte on complex and micelle assembly. | Session 30: Macromolecular Phase Separation in Biology |

487 | Entropic localization of plasmids in nanofluidic compartments | Liu, Zezhou; Capaldi, Xavier; Zeng, Lili; Lamothe, Rodrigo; Reisner, Walter | Here, we present a nanofluidic device with compartments simulating the confinement induced by a cell membrane. | Session 30: Macromolecular Phase Separation in Biology |

488 | Computational Insights into Phase Separation of Multivalent Polymers | Zumbro, Emiko; Alexander-Katz, Alfredo | In this work we compare phase separation of multivalent polymers through non-specific Van der Waals interactions to phase separation through specific reactive-binding interactions. | Session 30: Macromolecular Phase Separation in Biology |

489 | Stable drops: the Gibbs-Thomson condition and drop dynamics | Rutenberg, Andrew; Cameron, Samuel | This talk addresses three questions for systems with small stable droplets: how does the Gibbs-Thomson condition generalize, how does Lifshitz-Slyozov-Wagner dynamics generalize, and how much of this should apply when stable drops arise from non-equilibrium processes? | Session 30: Macromolecular Phase Separation in Biology |

490 | Simulation Informed Thermodynamic Model for Polyampholyte Self-Coacervation with Heterogeneous Charge Distribution | Madinya, Jason; Sing, Charles | In this work we present a coarse-grained simulation model to resolve phase separation in polyampholytes with any arbitrary charge sequence. | Session 30: Macromolecular Phase Separation in Biology |

491 | Nematic transition and liquid-liquid phase separation in semiflexible polymers – nanoparticle mixtures | Roy, Supriya; Chen, Yeng-Long | In the present study, we used GPU-accelerated Langevin dynamics simulation to explore how polymer-NP interaction affect the isotropic-nematic (I-N) transition and microstructural modifications of a matrix of semi-flexible polymers with persistence length P=20 and contour length L=25. | Session 30: Macromolecular Phase Separation in Biology |

492 | Valence and Patterning of Aromatic Residues Determine the Phase Behavior of Disordered Prion-Like Domains | Holehouse, Alex; Martin, Erik; Peran, Ivan; Pappu, Rohit; Mittag, Tanja | Here, we use multipronged biophysical approaches that integrates across simulation, experiment, and theory to address this question and uncover the physical principles underlying how an archetypal PLD derived from hnRNPA1 avoids aggregation in favor of LLPS. | Session 30: Macromolecular Phase Separation in Biology |

493 | A Random Heteropolymer Model of Protein Aggregation | Falk, Martin; Triandafillou, Catherine; Murugan, Arvind | In this context, the phenomenon of protein aggregation is a particularly appealing subject of study. | Session 30: Macromolecular Phase Separation in Biology |

494 | Actin(g) on phase separation | Wiegand, Tina; Hyman, Anthony; Grill, Stephan | Our aim is to recapitulate the complex spectrum of kinetic behaviors observed for actomyosin in vivo. | Session 30: Macromolecular Phase Separation in Biology |

495 | Elasticity dominated small molecule migration in polymer mixtures and gels | Chakrabarti, Buddhapriya; Mukherjee, Biswaroop | We report a simultaneous phase separation and surface migration phenomena in oligomer-polymer and oligomer-gel systems following a temperature quench. | Session 30: Macromolecular Phase Separation in Biology |

496 | Looped liquid-liquid coexistence in protein crystallization | Glaser, Jens; Glotzer, Sharon | Here we report liquid-liquid phase separation (LLPS) with a highly asymmetric coexistence region in a computational model of rubredoxin with real molecular shape. | Session 30: Macromolecular Phase Separation in Biology |

497 | Intermolecular association of the variable domain of dynamin related protein 1 in crowding conditions suggests a role in dynamin assembly | Harden, James; Posey, Ammon; Bagheri, Mehran; Harwig, Megan; Kennedy, Nolan W.; Hilser, Vincent; Hill, R. Blake | This talk focuses on the behaviour of isolated VD from Drp1 isoform 1. | Session 30: Macromolecular Phase Separation in Biology |

498 | Model for intrinsically disordered proteins with a strong dependence of liquid-liquid phase separation on sequence | Statt, Antonia; Casademunt, Helena; Brangwynne, Cliff; Panagiotopoulos, Athanassios | In this talk, we present the phase separation behavior of different sequences of a coarse-grained model for intrinsically disordered proteins and show that they exhibit a surprisingly rich phase behavior. | Session 30: Macromolecular Phase Separation in Biology |

499 | Quantitative droplet FRAP based on physical principles | Hubatsch, Lars; Jawerth, Louise; Hyman, Anthony; Weber, Christoph | This results in the following improvements: we can (i) distinguish the time scales of exchange through the droplet interface (set by bulk diffusion and boundary kinetics) from diffusion inside the droplet, (ii) quantify the impact of the interface (iii) provide improved measurements for several biologically important proteins, and (iv) use our analysis framework to explore several multi-component scenarios. | Session 30: Macromolecular Phase Separation in Biology |

500 | Probing ATPase Dependent Physical Properties of Biological Condensates | Coupe, Sebastian; Jung, Yoon; Fakhri, Nikta | In studying how this model condensate system responds to base-pairing RNAs, ATP, and accessory proteins we will shed light on principles underlying energetic regulation of condensate fluidity. | Session 30: Macromolecular Phase Separation in Biology |

501 | The robust bioinformatic analysis of the protein sequences with phase behavior | Badaczewska-Dawid, Aleksandra Elzbieta; Potoyan, Davit | The long-term goal of our research is the creation of a publically accessible database that would be used by both experimentalists for designing controlled mutations and for computationally-oriented scientists for developing new modeling tools. | Session 30: Macromolecular Phase Separation in Biology |

502 | Effects of protein charge and charge patterning on complex coacervation for enzymatic microreactors | Zervoudis, Nicholas; Obermeyer, Allie | Effects of protein charge and charge patterning on complex coacervation for enzymatic microreactors | Session 30: Macromolecular Phase Separation in Biology |

503 | The role of a hidden ordered domain in controlling the material properties of RNA-protein condensates | Seim, Ian; Klotsa, Daphne; Gladfelter, Amy | By mutating specific residues in the CC, we demonstrate a range of material states in vitro, characterized by kinetic mean-field modeling of condensate formation. | Session 30: Macromolecular Phase Separation in Biology |

504 | Recent Progress on 3D Chiral Mechanical Metamaterials | Wegener, Martin | Concerning the static regime, we will present novel architectures that allow to bring the push-to-twist conversion effects previously reported by us to much larger absolute values at larger numbers of unit cells. | Session 31: Mechanical Metamaterials |

505 | 3D Acoustic Zero Index Metamaterial | Xu, Changqing; Ma, Guancong; Lai, Yun; Wu, Ying | In this talk, I will report our design of a three-dimensional (3D) acoustic double-zero-index medium (DZIM) made of a cubic lattice of metal rods. | Session 31: Mechanical Metamaterials |

506 | Micro-lattices for wide-band three-dimensional elastic wave attenuation | Gerard, Nikhil; Oudich, Mourad; Jing, Yun | In this work, we put forth new design strategies to engineer micro-lattices for desirable elastic wave bandgaps and discuss their experimental realization. | Session 31: Mechanical Metamaterials |

507 | Elastic Weyl Points and Surface Arc States in Three-Dimensional Mechanical Metamaterials | Shi, Xiaotian; Chaunsali, Rajesh; Li, Feng; Yang, Jinkyu | We propose a three-dimensional mechanical structure in analog to the AA-stacked graphene with chiral intralayer coupling, which carries Weyl points of topological charge ±1. | Session 31: Mechanical Metamaterials |

508 | Demonstration of the Majorana-like bound state in an elastic bolted plate | Chen, Chun-Wei; Lera, Natalia; Chaunsali, Rajesh; Torrent, Daniel; Alvarez, Jose Vicente; San-Jose, Pablo; Christensen, Johan; Yang, Jinkyu | In this work, another uniquely zero-dimensional non-propagating state, specifically a mechanical analog of the Majorana bound state, is shown numerically and experimentally in a mechanical system. | Session 31: Mechanical Metamaterials |

509 | Tuning of 2D Phononic Band Structures via Buckling Instability | Dethe, Tejas; Sarkar, Siddhartha; Marincic, Matevz; Kosmrlj, Andrej | The symmetries of compressed elastic structures can be drastically altered via the buckling instability, and we are exploring how that affects the phononic band structures. | Session 31: Mechanical Metamaterials |

510 | Robust gapless edge states and unconventional topological band properties in a two-dimensional elastic Kekulé phononic lattice | Liu, Ting-Wei; Semperlotti, Fabio | We report on the design of an elastic phononic structure that embeds a Kekulé distortion pattern to create the analogue of a quantum spin Hall system which, with proper tuning, can achieve fully decoupled and gapless edge states. | Session 31: Mechanical Metamaterials |

511 | Valley Anisotropy and Valley Topological States in Elastic Metamaterials | Li, Shuaifeng; Kim, Ingi; Iwamoto, Satoshi; Zang, Jianfeng; Yang, Jinkyu | We present the valley anisotropy by introducing asymmetrical metamaterials made of hard spiral and soft materials. | Session 31: Mechanical Metamaterials |

512 | Topological boundary modes in nonlinear mechanical lattices | Zhou, Di; Rocklin, Zeb | In the present work, we investigate the topological protection of nonlinear normal modes. | Session 31: Mechanical Metamaterials |

513 | Programmable higher-order Euler buckling modes in hierarchical beams | Tarantino, Maria-Gabriella; Danas, Kostas | We present a numerical-aided experimental study on the buckling of hierarchical beams comprising multiple self-similar modules. | Session 31: Mechanical Metamaterials |

514 | Programmable metastructures featuring adaptable stiffness based on local bistability | Udani, Janav; Arrieta, Andres | We present a novel class of programmable structures displaying large stiffness adaptability from local changes of shape. | Session 31: Mechanical Metamaterials |

515 | Navigating the landscape of nonlinear mechanical metamaterials for advanced programmability | Medina, Eder; Farrell, Patrick; Bertoldi, Katia; Rycroft, Christopher | We consider a flexible mechanical metamaterial comprising an elastomeric matrix with an embedded square array of circular holes. | Session 31: Mechanical Metamaterials |

516 | Space-time phononic crystals with anomalous topological edge states | Deng, Yuanchen; Oudich, Mourad; Tao, Molei; Jing, Yun | We introduce a one-dimensional topological phononic phase system with a dynamic modulation of its intrinsic properties that keep the topological feature of the system unchanged, while it leads to a multiplication of the edges-state into the continuum at the subwavelength regime. | Session 31: Mechanical Metamaterials |

517 | On the design of multi-stable metastructures with rotational degrees of freedom | Zhang, Yong; Tichem, Marcel; Van Keulen, Fred | In this work, the design space of the geometric parameters for metastructures exhibiting both rotational and translational motions is explored on the basis of both theoretical and experimental studies. | Session 31: Mechanical Metamaterials |

518 | Prediction of Elastic Wave Propagation Characteristics of Composites via Strong-Contrast Expansions | Kim, Jaeuk; Torquato, Salvatore | Here we derive exact expressions for effective elastodynamic properties of two-phase composites at intermediate wavelengths by extending the "strong-contrast" expansion approach previously applied to the static problem. | Session 31: Mechanical Metamaterials |

519 | What is the bending rigidity of a book? Stacked plates as a dissipative structured beam | Poincloux, Samuel; Chen, Tian; Audoly, Basile; Reis, Pedro | Taking friction as a perturbation, we develop a predictive model involving the coupling between the geometric nonlinearities, elasticity and friction that is in excellent agreement with experiments. | Session 31: Mechanical Metamaterials |

520 | The effect of dualities on elastic moduli | Fruchart, Michel; Vitelli, Vincenzo | We will show that a duality lies at the root of this riddle. | Session 31: Mechanical Metamaterials |

521 | Emergent plasticity and hysteresis in disordered packings of filaments. | Weiner, Nichalas; King, Hunter; Bhosale, Yashraj; Gazzola, Mattia | Emergent plasticity and hysteresis in disordered packings of filaments. | Session 31: Mechanical Metamaterials |

522 | Viscoelasticity and plasticity in the formation of creases in thin sheets | Dharmadasa, Buwaneth; Mallikarachchi, Chinthaka; Lopez Jimenez, Francisco | By considering the curvature localization, we can define a crease length that depends on the properties of the film and the fold control parameters. | Session 31: Mechanical Metamaterials |

523 | Viscoelastic Metamaterials | Dykstra, David; Busink, Joris; Bossart, Aleksi; van der Laan, Jop; Ennis, Bernard; Coulais, Corentin | We show how viscoelasticity can be harnessed to increase functionality in mechanical metamaterials. | Session 31: Mechanical Metamaterials |

524 | Memory of a mechanical metamaterial | bense, hadrien; Van Hecke, Martin | We introduce a class of patterned thin sheets that, when forced, exhibit controlled crumpling via elastic snap-through instabilities. | Session 31: Mechanical Metamaterials |

525 | Amplitude-dependent input to reprogram static and dynamic properties of multistable structures | Yasuda, Hiromi; Korpas, Lucia; Raney, Jordan | Here, we study a tunable mechanical structure composed of a 1D chain of rotating squares and embedded magnets, with each cell along the chain capable of being in any of three possible stable phases, defined by the angular orientation of the square. | Session 31: Mechanical Metamaterials |

526 | Porous Inclined Auxetic Structural Material | Fernandes, Matheus; Mhatre, Saurabh; Mesa, Olga; Bertoldi, Katia; Bechthold, Martin | Yet, here we present a novel auxetic behavior harnessed by introducing angled cuts into a periodic porous material. | Session 31: Mechanical Metamaterials |

527 | Engineering auxetic geometry design for flexible and stretchable devices | Lee, Yu-Ki; Lee, Young-Joo; Joo, Young-Chang; Choi, In-Suk | In this talk, we present how the auxetic design can be used to flexible and stretchable electronic devices. | Session 31: Mechanical Metamaterials |

528 | Auxetic foam revisited: understanding the origin of negative Poisson’s ratio using micro-CT and pore structure analysis | Du, Lamei; Luo, Sida; Xu, Ye | We find that the fraction of bucked ribs of the pore structure is related to the initial value of Poisson’s ratio upon stretching while the extent of buckling is related to the maximum tensile strain for negative Poisson’s ratio. | Session 31: Mechanical Metamaterials |

529 | Dynamics and Topology of Non-Hermitian Elastic Lattices with Non-Local Feedback Interactions | Nora Rosa, Matheus; Ruzzene, Massimo | We investigate a family of non-Hermitian 1D elastic lattices whereby feedback control is used to establish non-local, non-reciprocal strain based interactions. | Session 31: Mechanical Metamaterials |

530 | Non-Commuting Mechanical Metamaterials | Singh, Amitesh; Labousse, Matthieu; Van Hecke, Martin | Here, we introduce a non-commuting mechanical metamaterial that consists of a quasi-1D chain of weakly symmetry-broken beams. | Session 31: Mechanical Metamaterials |

531 | Bounds on resonant bandgap limits in a branched 1D lattice modeled by Bloch’s theorem | Bastawrous, Mary; Hussein, Mahmoud | This offers a formal approach for identifying bounds for the location of band-gap edges. | Session 31: Mechanical Metamaterials |

532 | Inflatable Kirigami Structures | Jin, Lishuai; Forte, Antonio; Deng, Bolei; Rafsanjani, Ahmad; Bertoldi, Katia | Here, by embedding a thin kirigami shell into a soft silicon rubber, we present a novel, programmable and inflatable kirigami structure that can deform into a desired shape or trajectory at a given pressure. | Session 32: Mechanical Metamaterials III / Physics of Liquids |

533 | Capillarity-driven Transformation of Microscopic Cellular Structures | Deng, Bolei; Li, Shucong; Bertoldi, Katia; Aizenberg, Joanna | Here we report a capillarity-driven transformation on 2D onsite microcellular structures that enables us to change their topology on demand and reversibly. | Session 32: Mechanical Metamaterials III / Physics of Liquids |

534 | Multiscale frequency conversion through input-independent dynamics of bistable lattices | Hwang, Myungwon; Arrieta, Andres | In this study, we extend the input-independent dynamics to higher-dimensional metastructures. | Session 32: Mechanical Metamaterials III / Physics of Liquids |

535 | Tunable vibro-acoustic metamaterials | Bilal, Osama; Ballagi, David; Ulrich, Lukas; Daraio, Chiara | Here, we present a design methodology to attenuate both acoustic and elastic waves simultaneously in all polarizations. | Session 32: Mechanical Metamaterials III / Physics of Liquids |

536 | Exotic Soft Modes in 2D Mechanical Metamaterials Yield Powerful New Analytic Prediction Methods | Czajkowski, Michael; Coulais, Corentin; Van Hecke, Martin; Rocklin, Zeb | To understand this, we utilize a coarse graining approach, combined with highly detailed finite element simulations and experiments, to reveal that the perforated elastic sheet mechanics is controlled by a novel set of soft modes that correspond precisely to the well-studied planar Conformal Maps. | Session 32: Mechanical Metamaterials III / Physics of Liquids |

537 | Asymmetrical Reflection in Passive Non-Hermitian Structure | Galich, Pavel; Thomas, Edwin | Here, we propose a simple system comprised of a single pair of lossless (metallic) and lossy (polymeric) resonators in the form of circular ~0.1 mm thin sheets – that demonstrates close to 100 % asymmetry in the acoustic reflection coefficient, while at the same time the transmission coefficients are identical. | Session 32: Mechanical Metamaterials III / Physics of Liquids |

538 | A universal identity for the Poisson ratios of oblique Miura-ori | Nassar, Hussein; Lebée, Arthur; Monasse, Laurent | In this talk, we propose and prove a generalization of this identity to all tessellations that can be obtained as the translation surface of one zigzag along another. | Session 32: Mechanical Metamaterials III / Physics of Liquids |

539 | Toward a microscopic understanding of the dynamics of simple glass-forming liquids | Charbonneau, Patrick | In this talk, I present our recent advances toward a microscopic understanding of the finite-dimensional echo of the infinite-dimensional transitions, and of some of the activated processes that affect the dynamical slowdown of simple yet realistic glass formers. | Session 32: Mechanical Metamaterials III / Physics of Liquids |

540 | Unifying the percolation and mean-field description of the random Lorentz gas | Charbonneau, Patrick; Corwin, Eric; Hu, Yi; Ikeda, Harukuni; Zamponi, Francesco | To resolve this paradox, we study the caging regime of the RLG as a function of dimension. | Session 32: Mechanical Metamaterials III / Physics of Liquids |

541 | Unveiling the connection between liquid water and its amorphous/glass states | Martelli, Fausto | In this work, we bypass these difficulties by proposing a new strategy that explores structural similarity between the different disordered configurations. | Session 32: Mechanical Metamaterials III / Physics of Liquids |

542 | Dynamical theory predicted correlation between activated relaxation and thermodynamics in glass-forming liquids | Mei, Baicheng; Zhou, Yuxing; Schweizer, Kenneth | Dynamical theory predicted correlation between activated relaxation and thermodynamics in glass-forming liquids | Session 32: Mechanical Metamaterials III / Physics of Liquids |

543 | How does the character of the Sastry transition depend on the range of interatomic interactions? | Gish, Caitlin; Nan, Kai; Hoy, Robert | Using molecular dynamics simulations of Mie liquids [U n(r) = ε(r -2n – 2r -n) with 4 ≤ n ≤ 12], we determine how the character of the transition between cavitated and homogeneous IS depends on the range of the interatomic pair potential. | Session 32: Mechanical Metamaterials III / Physics of Liquids |

544 | The nematic feedback between cancer cells and the extracellular matrix | Sun, Bo | In this talk I will first discuss quantitative measurements of cellular response to 3D contact guidance cues, which are inevitiblly noisy and spatially heterogeneous. | Session 33: Mechanics of Cells and Tissues Across Scales |

545 | Mechanical regulation of shape deformation by matrix viscoelasticity in breast tissues | Elosegui-Artola, Alberto; Gupta, Anupam; Mahadevan, L; Mooney, David | In this study, we are further looking into the role of such mechanical properties in inducing the malignant phenotype in normal mammary epithelium MCF10A cell line. | Session 33: Mechanics of Cells and Tissues Across Scales |

546 | Why do rigid tumors contain soft cancer cells? | Fuhs, Thomas; Wetzel, Franziska; Fritsch, Anatol; Bi, Dapeng; Stange, Roland; Pawlizak, Steve; Kiessling, Tobias; Morawetz, Erik; Grosser, Steffen; Sauer, Frank; Lippoldt, Jürgen; Renner, Fred; Friebe, Sabrina; Zink, Mareike; Horn, Lars-Christian; Aktas, Bahriye; Bendrat, Klaus; Oktay, Maja; Niendorf, Axel; Condeelis, John; Höckel, Michael; Marchetti, M Cristina; Manning, M. Lisa; Kaes, Josef | We investigate primary samples from patients with mammary and cervical carcinomas on multiple length scales from tissue level down to single cells. | Session 33: Mechanics of Cells and Tissues Across Scales |

547 | A tug of war between cell-cell and cell-ECM interaction during tumor invasion | Huang, Yu Ling; Dey, Sumit; Shiau, Carina; Wu, Cindy; Ma, Yujie; Segall, Jeffrey; Wu, MingMing | In this talk, we will present a newly developed 3D tumor model in which tumor spheroids were embedded within collagen matrix, and tumor cell dynamics are subsequently imaged and analyzed. | Session 33: Mechanics of Cells and Tissues Across Scales |

548 | Understanding the crosstalk between mechanical and chemical guidance in 3D cell migration | Esfahani, Pedram; Eddy, Christopher; Kim, Jihan; Wong, Ryan; Sun, Bo | In our continuing work, we will develop a mathematical model to recapitulate our experimental observations and fully characterize the cell response to coupled chemical and mechanical cues. | Session 33: Mechanics of Cells and Tissues Across Scales |

549 | The role of tissue biophysics in organ selectivity in metastasis | Tanner, Kandice | Here I discuss using optical tweezer based active microrheology to measure the mechanical cues that may influence disseminated tumor cells in different organ microenvironments. | Session 33: Mechanics of Cells and Tissues Across Scales |

550 | Distinct Roles of Tumor-Associated Mutations in Collective Cell Migration | Lee, Rachel; Vitolo, Michele; Losert, Wolfgang; Martin, Stuart | By using cells with controlled mutations, we show that Ras activation and PTEN deletion lead to opposing effects on collective migration, despite both mutations being frequently found in patient tumors. | Session 33: Mechanics of Cells and Tissues Across Scales |

551 | Precision of flow sensing by self-communicating cells | Vennettilli, Michael; Fancher, Sean; Hilgert, Nicholas; Mugler, Andrew | Here we derive the precision of flow sensing for two ubiquitous mechanisms: absorption of the chemical and binding/unbinding to surface receptors. | Session 33: Mechanics of Cells and Tissues Across Scales |

552 | Classification of healthy and cancerous cells using optical rheology and machine learning | Morawetz, Erik; Tschodu, Dimitrij; Kaes, Josef | We use the high throughput of the OS to perform machine learning based discrimination of individual cells with a breast cancer model. | Session 33: Mechanics of Cells and Tissues Across Scales |

553 | Modeling biophysical tumor-stroma interactions in 3D co-cultures of pancreatic cancer cells and pancreatic stellate cells | Struth, Eric; Celli, Jonathan | Going forward, we are leveraging this system to model and study drug delivery through fibrotic PDAC stroma and evaluate stromal depletion therapies. | Session 33: Mechanics of Cells and Tissues Across Scales |

554 | Quantifying ECM micromechanical remodeling by an invading tumor | Naylor, Austin; McIntyre, David; Sun, Bo | We find that the tumor can introduce strong mechanical anisotropy as well as stiffen the ECM. | Session 33: Mechanics of Cells and Tissues Across Scales |

555 | Vimentin intermediate filament biomechanics in 3D cell motility | Patteson, Alison | We propose a minimal model in which a perinuclear vimentin cage constricts along with the nucleus during motility through confining spaces, providing mechanical resistance against large strains that can damage the structural integrity of cells and their nuclei. | Session 33: Mechanics of Cells and Tissues Across Scales |

556 | Confined cell migration – a dynamical systems perspective | Brückner, David; Fink, Alexandra; Schmitt, Matthew; Arlt, Nicolas; Rädler, Joachim; Broedersz, Chase | To provide such a framework, we employ a data-driven approach to infer the dynamics of cell movement, morphology and interactions of cells confined in two-state micropatterns. | Session 33: Mechanics of Cells and Tissues Across Scales |

557 | Finite element simulation of a cell entering a pipette: Effects of large deformation and frictional contact | Sun, Xiaohao; Wang, Ke; Wu, HengAn; Chen, Jian; Long, Rong | Here we present a simulation approach that can continuously update the boundary condition according to the contact status as the cell enters the channel, thus enabling more accurate description of the pressure and frictional conditions. | Session 33: Mechanics of Cells and Tissues Across Scales |

558 | Modeling the effect of vimentin on confined cell motility. | Gupta, Sarthak; Patteson, Alison; Schwarz, Jennifer | We have developed a biophysical model for a cell moving through various confined geometries based on Brownian dynamics. | Session 33: Mechanics of Cells and Tissues Across Scales |

559 | Regulation of nuclear architecture, mechanics, and nucleocytoplasmic shuttling of epigenetic factors by cell geometric constraints | Alisafaei, Farid; Jokhun, Doorgesh Sharma; Shivashankar, GV; Shenoy, Vivek | To elucidate the physical mechanisms involved in this regulation, we developed an active 3D chemomechanical model to describe the three-way feedback between the adhesions, the cytoskeleton, and the nucleus. | Session 33: Mechanics of Cells and Tissues Across Scales |

560 | Effective pressure in a dense cell monolayer and collective cell migration | Khain, Evgeniy | For a non-uniform system, I will consider the cell shift due to the gradient of the effective pressure and examine its effect on the average cell area profiles. | Session 33: Mechanics of Cells and Tissues Across Scales |

561 | Effects of cell-cell adhesion on collective migration of multicellular clusters | Roy, Ushasi; Mugler, Andrew | We develop both a minimal framework based on the lattice gas model of statistical physics, as well as a more realistic framework based on the cellular Potts model. | Session 33: Mechanics of Cells and Tissues Across Scales |

562 | Plasticity of cell migration resulting from mechanochemical coupling | Ghabache, Elisabeth; Cao, Yuansheng; Rappel, Wouter-Jan | We find that a sufficient decrease of the protrusion force can destabilize keratocyte-like cells, resulting in cells that employ amoeboid-like migration. | Session 33: Mechanics of Cells and Tissues Across Scales |

563 | Collective Cell Migration in Wound Healing | Vazquez, Kelly; Notbohm, Jacob | Collective Cell Migration in Wound Healing | Session 33: Mechanics of Cells and Tissues Across Scales |

564 | Traction dynamics in collective cell migration | Saraswathibhatla, Aashrith | Recent theoretical models have emphasized cell motility force as a key driver of collective cell migration. | Session 33: Mechanics of Cells and Tissues Across Scales |

565 | How does extracellular matrix rigidity affect the fluidity of an embedded spheroid? | Parker, Amanda; Marchetti, M Cristina; Manning, M. Lisa; Schwarz, J | Using a computational model, we explore how a simple mechanical interaction between a spheroid and its ECM promotes changes in the spheroid’s rigidity, morphology and the shapes of its constituent cells, as well as the ECM’s rigidity and structure. | Session 33: Mechanics of Cells and Tissues Across Scales |

566 | Self-organized vasculogenesis in 3D printed mixed cell populations | Ellison, Sarah; Angelini, Thomas | Preliminary data and analysis will be presented. | Session 33: Mechanics of Cells and Tissues Across Scales |

567 | Interrogating collagen mechanics at the single-molecule level | Forde, Nancy | I’ll describe what we have learned about collagen’s flexibility and stress response, how local sequence context matters, and how our work resolves some of the many contentious findings regarding collagen’s mechanics. | Session 33: Mechanics of Cells and Tissues Across Scales |

568 | Mechanical response of the vitreous gel in our eyes: Results from an inhomogeneous two-fluid model | Lwin, Pancy; Franklin, Scott; Thurston, George; Ross, David; Das, Moumita | We study rheological properties of this gel by simulating it as a two-fluid model made of an inhomogeneous polymer network interacting with a fluid. | Session 33: Mechanics of Cells and Tissues Across Scales |

569 | Kinetics of Cell Adhesion Through Biomimetic Glycocalyx | Jing, Yu; Cohen, Shlomi; Faubel, Jessica; Curtis, Jennifer | We introduce a biomimetic glycocalyx platform to investigate the kinetics of cell adhesion in the presence of sugar-rich interfaces. | Session 33: Mechanics of Cells and Tissues Across Scales |

570 | Length regulation of epithelial cell junctions | Staddon, Michael; Cavanaugh, Kate; Munro, Edwin; Gardel, Margaret; Banerjee, Shiladitya | We propose a new theory for epithelial tissue mechanics that highlights two essential properties of intercellular junctions. | Session 33: Mechanics of Cells and Tissues Across Scales |

571 | Fast Confined Dynamics in Lipid Bilayers | Gupta, Sudipta | We have investigated the molecular dynamics of complex phospholipid membranes in their fluid phases by neutron spin echo spectroscopy. | Session 33: Mechanics of Cells and Tissues Across Scales |

572 | In vitro characterization and numerical simulations of red blood cell transmigration through splenic inter-endothelial slits | Garcia de Herreros, Antoni; Lu, Huijie; Peng, Zhangli; Del Alamo, Juan | To study the mechanics of RBC splenic filtration, we designed and characterized a family of microfluidic devices where a suspension of human RBCs flows through an array of channels of controlled length (L), width (W) and height (H). | Session 33: Mechanics of Cells and Tissues Across Scales |

573 | Nucleation and Formation of a Primary Clot in Insect Blood Probed by Magnetic Rotational Spectroscopy | Kornev, Konstantin; Aprelev, Pavel; Adler, Peter; Brasovs, Artis | Using larvae of Manduca sexta, we discovered that clot nucleation is a two-step process whereby cell aggregation is the time-limiting step followed by rigidification of the aggregate. | Session 33: Mechanics of Cells and Tissues Across Scales |

574 | Microfluidic platform for label-free viability cell sorting | Chrit, Fatima Ezahra; Raj, Abhishek; Stone, Nick; Sulchek, Todd; Alexeev, Alexander | We propose a biophysical approach for cell viability sensing, enumeration, and purification that is label-free and continuous. | Session 33: Mechanics of Cells and Tissues Across Scales |

575 | Simultaneous Measurement of Electrical and Mechanical Properties of Biological Cells Using a Tuning Fork-Coupled Conductive Probe | Schiller, Mark; Ivanov, Alexandra; Maci, Megi; Pontrelli, Eva; Merlo, Juan; Connolly, Timothy; Naughton, Michael | We have devised a conductive tip tuning fork probe, which is intended to simultaneously measure mechanical properties and membrane potential of a cell. | Session 33: Mechanics of Cells and Tissues Across Scales |

576 | Brain Mechanics Drive Cavitation and Fracture Response | Dougan, Carey; Galarza, Sualyneth; Barney, Christopher; zheng, yue; Cai, Shengqiang; Crosby, Alfred; Peyton, Shelly | By understanding the strain rate deformation of specific areas of the brain, we aim to gain further insight into how cavitation-related events lead to irreversible damage. | Session 33: Mechanics of Cells and Tissues Across Scales |

577 | Rheological properties of cellular aggregates formed by pilus mediated interactions | Kuan, Hui-Shun; Julicher, Frank; Zaburdaev, Vasily | Motivated by colonies of Neisseria gonorrhoeae bacteria, we develop a continuum theory to study cellular aggregates formed by attractive pulis mediated intercellular interactions. | Session 33: Mechanics of Cells and Tissues Across Scales |

578 | Optical tweezer application with Autofocusing Airy-Bessel beams | Liang, Yi; Xiang, Yinxiao; Shi, Fan | We proposed a new autofocusing beams named autofocusing Airy-Bessel beams (AABB). | Session 33: Mechanics of Cells and Tissues Across Scales |

579 | Controlled neighbor exchanges drive intermittency and cell streaming in epithelial tissues | Das, Amit; Bi, Dapeng | Here we introduce this important biological constraint in a vertex-based model as an intrinsic single-cell property and study how this rate-limiting process affects the mechanics and collective behavior of cells in a tissue. | Session 34: Mechanics of cells and tissues across scales |

580 | Mechanical Instabilities in Growing Biological Systems: Wrinkling and Branching | Kosmrlj, Andrej | In this talk I will focus on mechanical instabilities that cause the wrinkling of Vibrio cholerae bacterial biofilms and branching in developing lungs. | Session 34: Mechanics of cells and tissues across scales |

581 | Quasi-realistic modelling of expanding epithelial cell monolayer | Deng, Youyuan; Levine, Herbert | We propose a quasi-realistic model for this phenomenon. | Session 34: Mechanics of cells and tissues across scales |

582 | Symmetry breaking and axis formation in Hydra | Collins, Eva-Maria | In my talk, I will present our recent work that answers some of these questions. | Session 34: Mechanics of cells and tissues across scales |

583 | Configurations and dynamics of membrane-bound elastic filaments | Lough, Wilson | We discuss the mechanics of surface-bound filaments and present a collection of analytical and numerical results. | Session 34: Mechanics of cells and tissues across scales |

584 | Bacteria sense and respond to the mechanics of the surface to which they attach | Gordon, Vernita; Wang, Liyun; Blacutt, Jacob | Here, we examine the relationship between substrate stiffness, mechanical deformation of the bacterial cell, accumulation of bacteria on the surface, and dynamics of an intracellular signal that control biofilms development. | Session 34: Mechanics of cells and tissues across scales |

585 | Mechanical impacts of complex topology on epithelial cells | Yu, Sun-Min; Li, Bo; Amblard, francois; Granick, Steve; Cho, Yoon-Kyoung | In the current study, we found that strong mechanical impacts of complex topology on the epithelial system. | Session 34: Mechanics of cells and tissues across scales |

586 | Three-dimensional Packing of Curved Epithelia: Biology and Topology meet Physics | Gómez-Gálvez, Pedro; Vicente Munuera, Pablo; Anbari, Samira; Escudero, Luis M; Buceta Fernandez, Javier | Here we address this problem using a combination of experiments, mathematical analyses, computer simulations, and biophysical approaches. | Session 34: Mechanics of cells and tissues across scales |

587 | Topological analysis of multicellular structures | Skinner, Dominic; Song, Boya; Dunkel, Jörn | In this talk we introduce a topological distance between materials that needs only the coordinates of the centroid of each discrete object, and is based on the local graph structure around each centroid. | Session 34: Mechanics of cells and tissues across scales |

588 | Tissue-Tissue Interactions at Boundaries of Colliding Monolayers | Heinrich, Matthew; Cohen, Daniel; Kosmrlj, Andrej; Strain, Jake | Classic ‘wound healing’ studies in epithelial monolayers use a wound or barrier removal to induce and study collective migration, focusing on the migration rather than the ultimate collision and tissue healing. | Session 34: Mechanics of cells and tissues across scales |

589 | Patterning Potential of Cell-cell signalling Molecules in Flowing Tissue | BAJPAI, SUPRIYA; Inamdar, Mandar; Prabhakar, Ranganathan; Chelakkot, Raghunath | We present a model which accounts for contact signalling between adjacent cells and between non-adjacent neighbours through long protrusions that occur along the direction of cell polarization. | Session 34: Mechanics of cells and tissues across scales |

590 | Formation and Properties of Self-Assembled Nanoparticle-Supported Lipid Bilayer Probed Through Molecular Dynamics Simulations | Jing, Haoyuan; Wang, Yanbin; Desai, Parth; Ramamurthi, Kumaran; Das, Siddhartha | We reveal that the equilibrated self-assembled NPSLBL system demonstrates a larger number of lipid molecules occupying the outer leaflet as compared to the inner leaflet. | Session 35: Membranes and Channels |

591 | Leveraging the physics of a barbecue lighter to genetically transform living organisms | Byagathvalli, Gaurav; Sinha, Soham; Zhang, Yan; Styczynski, Mark; Standeven, Janet; Bhamla, Saad | In this talk, we will discuss both the physics of a lighter, as well as the synthetic biology protocol we have developed for electroporation using this frugal device. | Session 35: Membranes and Channels |

592 | Listening to lipid membranes | Lee, Kisung; Chommanov, Gurban; Granick, Steve | Listening to lipid membranes | Session 35: Membranes and Channels |

593 | Comparing microrheological methods for measuring lipid membrane viscosity | Jahl, Philip; Parthasarathy, Raghuveer | To resolve this discrepancy, we applied both methods simultaneously to the same lipid vesicles, featuring both phase separated domains and bound elliptical beads. | Session 35: Membranes and Channels |

594 | Regulated ensembles and lipid membranes | Girard, Martin; Bereau, Tristan | Their composition is highly complex, involving hundreds of different lipid types and the regulation mechanism is still the subject of intense research. | Session 35: Membranes and Channels |

595 | Stable fabrication of a various-sized nanopore by controlled dielectric breakdown in a high-pH solution for the detection of various-sized molecules | Yanagi, Itaru; Akahori, Rena; Takeda, Kenichi | In this study, we found that nanopore fabrication by dielectric breakdown of a SiN membrane under high-pH conditions (pH ≥ 11.3) could overcome these two problems and enabled the formation of a single large nanopore up to 40 nm in diameter within one minute. | Session 35: Membranes and Channels |

596 | Monte Carlo simulation of pH activated conformational changes of coarse-grained sodium-proton antiporters | Asadi, Mojgan; Warshel, Arieh | In this study, we map the energy landscape between two pH levels for two different conformations of the wild antiporter and a mutated variant using MD with coarse-graining. | Session 35: Membranes and Channels |

597 | Multichannel Flow Cell for a Nanopore Array Sensor | Nguyen Pham, Hai Huy; Yanagi, Itaru; Takeda, Kenichi | In this study, the mechanism of those issues is investigated. | Session 35: Membranes and Channels |

598 | Interaction of Graphene Oxide with Model Bio-membrane: Insights into the Structure of the Membrane | MANDAL, PRIYA; Ghosh, Sajal Kumar | In present work, the x-ray reflectivity (XRR) and grazing incidence small-angle x-ray scattering (GISAXS) techniques have been used to extract the structural details of the GO-membrane complex. | Session 35: Membranes and Channels |

599 | Detection of streptavidin-labeled DNA using solid-state nanopores for target sequence detection | Akahori, Rena; Yanagi, Itaru; Takeda, Kenichi | In this study, the possibility of streptavidin (SA) as a labelled molecule was investigated. | Session 35: Membranes and Channels |

600 | Moving while you’re stuck; a mechanical model of binding facilitated transport in biological systems | Koo, Kanghyeon; Lalitha Sridhar, Shankar; Clark, Noel; Vernerey, Franck; Hough, Loren | Here we describe a mechanical model to probe how binding and thermal motion can enable transport. | Session 35: Membranes and Channels |

601 | Towards high-sensitivity phase cancellation microscopy | Lyzwa, Dominika; Singh, Vijay; Yaqoob, Zahid; So, Peter | Here, we present a high phase sensitivity, phase cancellation interferometry system. | Session 35: Membranes and Channels |

602 | Predicting optimal parameters for ion transport through nanopores and biological channels | Gibby, William; Barabash, Miraslau; Luchinsky, Dmitry; McClintock, Peter | We have derived a statistical and linear response theory that calculates the occupancy and conductivity of nanopores for given parameters including: pore geometry and charge; type of competing ionic species; and bulk concentration [2]. | Session 35: Membranes and Channels |

603 | Wetting and dewetting of nanoscale films of nematic liquid crystal | Cummings, Linda; Kondic, Lou; Lam, Michael; Mema, Ensela | We present a simplified thin-film model for the free surface evolution that includes strong spatially-varying planar anchoring at the substrate, and weak antagonistic anchoring at the free surface. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

604 | A phase-field model for a modulated-disordered interface with varying density | Vitral, Eduardo; Leo, Perry; Vinals, Jorge | We derive a phase-field model that accounts for a varying density field and represents the smectic layering by an order parameter. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

605 | Non-reciprocal motion in superparamagnetic magnetoelastic membrane patches | Brisbois, Chase; Tasinkevych, Mykola; Olvera De La Cruz, Monica | We develop a theoretical approach for autonomous locomotion of superparamagnetic membranes through viscous media. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

606 | Particle motion nearby rough surfaces | Kurzthaler, Christina; Pahlavan, Amir; Zhu, Lailai; Stone, Howard | Here, we study the hydrodynamic couplings between particles and solid, rough boundaries that are characterized by periodic and random surface shapes. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

607 | Growth of clogs in parallel microchannels | Dressaire, Emilie; Villermaux, Emmanuel; Sauret, Alban | We present an analytical description that captures the time evolution of the volume of the aggregates. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

608 | Flow and Fouling in Elastic Membrane Filters with Complex Pore Morphology | Sanaei, Pejman; Liu, Shi Yue; Chen, Zhengyi | In this work, we consider standard blocking as a fouling mechanism, which decreases membrane porosity. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

609 | Hydrodynamic shock and instability in sedimenting colloidal suspensions along a surface | Karapetyan, Shake; Wilken, Sam; Tanaka, Michio; Sprinkle, Brennan; Donev, Aleksandar; Chaikin, Paul | We combine experiments, large-scale simulations, and a continuum model to study the emergence of a coherent density profile in a suspension of passive particles sedimenting near an inclined plane. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

610 | Unsteady Sedimentation of a Colloidal Sphere in a Horizontal Channel | Altman, Lauren; Grier, David | We investigate the limits of the Oseen superposition approximation in this canonical system by measuring the trajectories of colloidal spheres sedimenting through water in slit pores. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

611 | Stresslet of colloidal suspensions in a spherical cavity | Gonzalez Gonzalez, Emma del Carmen; Zia, Roseanna | Here we present the exact solution for stresslet hydrodynamic functions of a colloid in a spherical cavity, and its application to more concentrated suspensions via the Confined Stokesian dynamics algorithm. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

612 | Shape induced segregation and anomalous diffusion of particles under confinement | Li, Jiyuan; Singh, Abhinendra; Jiang, Xikai; Hernandez-Ortiz, Juan; De Pablo, Juan; Jaeger, Heinrich | We find that increasing the fraction of cylinders induces particle segregation, where the spherical particles are pushed towards the wall, while the cylinders prefer to be near the center of the cavity. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

613 | Equilibrium diffusion, thermodynamics, and rheology of confined Brownian suspensions | Sunol, Alp; Zia, Roseanna | Here, we present the results of our dynamic simulation studies using both Confined Stokesian Dynamics and Confined Brownian Dynamics algorithms. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

614 | Auto-phoretic nanorods driven up the wall by gravity | Brosseau, Quentin; Balboa Usabiaga, Florencio; Lushi, Enkeleida; Wu, Yang; Ristroph, Leif; Ward, Michael; Shelley, Michael; Zhang, Jun | Here we study the gravitaxis of heavy self-electrophoretic Janus nanorods that move upwards on a steeply inclined substrate. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

615 | When microrollers meet anisotropy | van der Wee, Ernest; Kotni, Ramakrishna; van Blaaderen, Alfons; Driscoll, Michelle | Here we study a system in which these collective interactions are largely driven by hydrodynamics: microrollers. | Session 36: Microflows Meet Soft Matter: Crystals, Colloids, & Particles |

616 | Viscous flows with thin, compliant boundaries | Vella, Dominic | I will give examples of some of these unusual behaviours, focussing on situations in which the compliant boundary is in some sense thin, as well as discussing the validity of the different models of boundary compliance. | Session 37: Microflows Meet Soft Matter: Deformation |

617 | Slicing Soft Materials | Rhodes, Steven; Weeks, Eric | We experimentally study the slicing of soft materials. | Session 37: Microflows Meet Soft Matter: Deformation |

618 | Valve Elasticity for Optimal Lymphatic Pumping | Wolf, Ki; Dixon, J. Brandon; Alexeev, Alexander | We use fully coupled, three-dimensional fluid-structure interaction model to study the performance of compliant lymphatic valves in the lymphatic vessel that undergoes peristaltic motion. | Session 37: Microflows Meet Soft Matter: Deformation |

619 | Soft hydraulics: Theory of flow in deformable microchannels | Anand, Vishal; Christov, Ivan; Shidhore, Tanmay; Wang, Xiaojia | We propose a perturbative approach to solving soft hydraulics problems. | Session 37: Microflows Meet Soft Matter: Deformation |

620 | Devising and characterizing a non-perturbative manipulator in 3D microfluidic channels | Gonzalez, Jeremias; Liu, Bin | Here, we investigate the capability of such non-perturbative manipulations in a microscope-compatible 3D microfluidic device having vertically offset channels converging on a middle chamber. | Session 37: Microflows Meet Soft Matter: Deformation |

621 | The interaction of elastomeric coatings with viscous flows: how incompressible is PDMS? | Chandler, Thomas; Vella, Dominic | We will present a model for thin, near-incompressible elastic foundations, and discuss how its application to examples of fluid-structure interaction problems at low Reynolds number can depend sensitively on how incompressible the coating is. | Session 37: Microflows Meet Soft Matter: Deformation |

622 | Active Foam: Connecting Structure, Dynamics and Control | Kroo, Laurel; Bull, Matthew; Prakash, Manu | The goal of this work is to understand fundamental principles of confluent tissues and develop functional synthetic analogs. | Session 37: Microflows Meet Soft Matter: Deformation |

623 | Active sieving : from flapping nano-doors to vibrating nanotubes | Marbach, Sophie; Dean, David; Bocquet, Lyderic | Here we investigate alternative approaches to separation and filtration. | Session 37: Microflows Meet Soft Matter: Deformation |

624 | Fibre-reinforced microfluidic droplets | Elettro, Herve; Gallaire, Francois | Fibre-reinforced microfluidic droplets | Session 37: Microflows Meet Soft Matter: Deformation |

625 | Pulp friction: lubricating properties of soft particle suspensions | Dijksman, Joshua; Rudge, Raisa; Scholten, Elke | The suspension lubrication deviates from typical Stribeck behavior as we find four frictional flow regimes. | Session 37: Microflows Meet Soft Matter: Deformation |

626 | Propagation and interactions of hydraulic fractures in model heterogeneous solids | Aime, Stefano; Weitz, David | In this work we study the propagation of hydraulic fractures in model, well-controlled colloidal materials, using microfluidics coupled to an innovative dynamic light scattering technique providing time- and space-resolved information on the local strain and the microstructural damage caused in the material by the propagating crack. | Session 37: Microflows Meet Soft Matter: Deformation |

627 | Effect of the 3D swelling of microgels on their 2D phase behavior at the liquid-liquid interface | Bochenek, Steffen; Scotti, Andrea; Isa, Lucio; Richtering, Walter | We investigate soft, temperature-sensitive microgels at fluid interfaces and how changing temperature across the microgels’ volume phase transition temperature, which leads to swelling/deswelling of the microgels in the aqueous phase, affects the phase behavior within the monolayer. | Session 37: Microflows Meet Soft Matter: Deformation |

628 | Underactuated fluidic control of continuous multistable structures | Peretz, Ofek; Mishra, Anand; Shepherd, Robert; Gat, Amir | This work addresses the challenge of underactuated pattern generation in continuous multistable structures. | Session 37: Microflows Meet Soft Matter: Deformation |

629 | Robotic Morphing Matter as Materialized AI | Yao, Lining | In this talk, Lining presents the recent works in the Morphing Matter Lab, Human-Computer Interaction Institute of School of Computer Science at Carnegie Mellon University and highlights several robotic morphing materials that weave advanced manufacturing, computational tools, and design thinking. | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

630 | Spider-morphs: Designing 3D shapes from multiple tapered elasticæ. | Liu, Mingchao; Domino, Lucie; Vella, Dominic | Here we introduce a design framework for forming approximately axisymmetric 3D structures by harnessing the buckling of multiple tapered elastic sheets (the legs) connected in a central portion (the body). | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

631 | Reshapable groovy sheets | Meeussen, Anne; Van Hecke, Martin | We show that groovy sheets—thin sheets with parallel corrugations—form patterns of snap-through defects and shift into different shapes, depending on how they are actuated. | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

632 | Under pressure: Mechanics of swelling hydrogels under confinement | Louf, Jean-Francois; Lu, Nancy; O’Connell, Margaret; Cho, H. Jeremy; Datta, Sujit | We have developed the ability to directly visualize hydrogel swelling within a three-dimensional porous medium that mimics soil. | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

633 | Delicate and Precise Grasping using Kirigami | Holmes, Douglas; Yang, Yi; Vella, Katherine | In this work, through a combination of experiments and modeling, we demonstrate how the mechanical actuation of kirigami shells enables both delicate and precise grasping of a wide variety of objects. | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

634 | Design and mechanics of complex inflatable networks | Jones, Trevor; Jambon-Puillet, Etienne; Brun, Pierre-Thomas | We have recently introduced “bubble casting”, a novel assembly method that leverages the fluidity of curing silicone elastomers to easily fabricate soft actuators with complex shapes. | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

635 | Buckling and Metastability in 2D Impurity Arrays | Plummer, Abigail; Nelson, David | We study a periodic array of impurities that produce local dilations, embedded in a two-dimensional crystalline solid that can buckle out of the plane. | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

636 | 4D printing of mechanically programmable shape-shifting liquid crystal elastomers | Barnes, Morgan; Verduzco, Rafael | Here, we use a new reactive printing method that enables the printing of a dual network liquid crystal elastomer (LCE) which can be mechanically programmed into the desired shape change. | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

637 | Versatile and controllable shape morphing using twisted-and-coiled actuators | Sun, Jiefeng; Zhao, Jianguo | We propose a different strategy: strategically embedding soft actuators into a soft body to enable versatile shape morphing by actively controlling the deformation of each soft actuator. | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

638 | Controlled Shape-morphing of Elastic Sheets by Chemically-driven Fluid Flow | Manna, Raj Kumar; Shklyaev, Oleg; Stone, Howard; Balazs, Anna | Here, using a computational model that incorporates interrelated chemical, hydrodynamic and mechanical interactions, we demonstrate how a (2D) enzyme-coated elastic sheet can spontaneously morph into 3D structures in response to specific chemical stimuli introduced in the fluid-filled microchamber. | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

639 | Morphing Surfaces formed by Liquid Crystal Elastomer Coatings: Design and Modeling | Selinger, Robin; Mosaddeghian Golestani, Youssef; Selinger, Jonathan; Afghah, Sajedeh; Varga, Michael | To mimic this functionality in an engineered material, we design and model dynamically morphing surface coatings composed of stimuli-responsive liquid crystal elastomers (LCE). | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

640 | Active rapid morphing mechanism of the Venus flytrap | Ryu, Jeongeun; Forterre, Yoël | Active rapid morphing mechanism of the Venus flytrap | Session 38: Morphing Matter: From Soft Robotics to 4D Printing |

641 | Encoding kirigami bi-materials to morph on target in response to temperature | Pasini, Damiano; Liu, Lu; Qiao, Chuan; An, Haichao | Here, we demonstrate that a pair of off-the-shelf passive solids, such as wood and silicone rubber, can be topologically arranged in a kirigami bi-material to engage temperature to collectively deploy into a geometrically rich set of periodic and aperiodic shapes that can shape-match a predefined target. | Session 39: Morphing Matter: from Soft Robotics to 4D Printing |

642 | Assembly Behaviors Design with Magnetic Handshake Materials | Du, Chrisy Xiyu; Niu, Ran; Esposito, Edward; McEuen, Paul; Cohen, Itai; Brenner, Michael | Inspired by nature’s ability of assembling intricate materials, we recently developed an assembly platform that can create specific binding by encoding magnetic dipole patterns into panel-like building blocks. | Session 39: Morphing Matter: from Soft Robotics to 4D Printing |

643 | Photothermally Reconfigurable Shape Memory Magnetic Cilia | Liu, Jessica; Evans, Benjamin; Tracy, Joseph | Photothermally Reconfigurable Shape Memory Magnetic Cilia | Session 39: Morphing Matter: from Soft Robotics to 4D Printing |

644 | Control of a Hydrogel Based Soft Robot Using Light | Aggarwal, Aaveg; Yuan, Hang; Olvera De La Cruz, Monica | To this end, we report our theoretical work on the light induced deformations in these robots and the corresponding changes in functionality. | Session 39: Morphing Matter: from Soft Robotics to 4D Printing |

645 | Semiflexible origami and their many minima | Lee-Trimble, Mary Elizabeth; Kang, Ji-Hwan; Hayward, Ryan; Santangelo, Christian | Here, we show how to relax the rigidity of origami by allowing a small amount of stretching along the folds, which in turn allows Gaussian curvature at the vertices. | Session 39: Morphing Matter: from Soft Robotics to 4D Printing |

646 | Morphing Colloidal Crystals with Active Additives | VanSaders, Bryan; Glotzer, Sharon | In this work we discuss how small clusters of active particles with variable diameter can cause long range shear displacement within a simulated colloidal monolayer. | Session 39: Morphing Matter: from Soft Robotics to 4D Printing |

647 | Generating multiple surfaces from a single inhomogeneous anisotropically deforming sheet | Griniasty, Itay; Cohen, Itai; Sethna, James | Here, we derive a general solution to this inverse design problem for inhomogeneous, anisotropically deforming materials. | Session 39: Morphing Matter: from Soft Robotics to 4D Printing |

648 | Morphing Surfaces for μ-Contact Printing | Anthamatten, Mitchell; Kim, Soyoun; Liu, Nan; Shestopalov, Alexander; Lambropoulos, John | Here, we employ shape-memory surfaces with thermo-mechanical programming to achieve large-area pattern transfer to multilayered films from donor substrates to receiving plates. | Session 39: Morphing Matter: from Soft Robotics to 4D Printing |

649 | Climate variability: a manifestation of fluctuations in a nonequilibrium steady state | Weiss, Jeffrey; Fox-Kemper, Baylor; Mandal, Dibyendu; Nelson, Arin; Zia, Royce | We propose that the phase space angular momentum might be a useful general metric to describe fluctuations in nonequilibrium steady states. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

650 | Critical Dynamics of Anisotropic Antiferromagnets in an External Field | Tauber, Uwe; Nandi, Riya | We numerically investigate the non-equilibrium critical dynamics in three-dimensionalanisotropic antiferromagnetsin the presence of an external magnetic field. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

651 | Current fluctuations in presence of time-periodic metabolic conditions | Forastiere, Danilo; Falasco, Gianmaria; Esposito, Massimiliano | We show that there exist different regimes, depending on the kinetic rates, in which positive and negative amplitude resonant effects take place, and we provide interpretations for the role that these nonequilibrium effects can play in the metabolic network. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

652 | Large scale kinetic modeling of metabolic networks | CHEN, Yong-Cong; Zhu, Xiaomei; Ao, Ping; Xu, Minjuan | Large scale kinetic modeling of metabolic networks | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

653 | Temperature interfaces in the Katz-Lebowitz-Spohn driven lattice gas | Mukhamadiarov, Ruslan; ., Priyanka; Tauber, Uwe | We explore the intriguing spatial patterns that emerge in a two-temperature Katz-Lebowitz-Spohn (KLS) model in two dimensions, a driven lattice gas with attractive nearest-neighbor interactions and periodic boundary conditions.The domain is split into two regions with hopping rates governed by different temperatures T > Tc and Tc, respectively, where Tc indicates the critical temperature for phase ordering. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

654 | Anomalous heating in a colloidal system: Observation of the inverse Mpemba effect | Kumar, Avinash; Bechhoefer, John | We present the first experimental observation of anomalous heating in colloidal systems, a phenomenon known as the inverse Mpemba effect. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

655 | Decomposition of anomalous diffusion in generalized Lévy walks into its constitutive effects | Adlakha, Vidushi; Meyer, Philipp; Aghion, Erez; Kantz, Holger; Bassler, Kevin | We show that the anomalous diffusive behavior found in these systems can be decomposed into three fundamental constitutive causes. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

656 | A coupled two-species model for the pair contact process with diffusion | Deng, Shengfeng; Tauber, Uwe | We introduce a coarse-grained two-species representation for the PCPD in which single particles B and particle pairs A are coupled according to the processes 2 B→ A, A→ A+ B, A→0, A→2 B, with each type of particles diffusing independently. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

657 | Anomalous Diffusion with an Absorbing Wall | Warhover, Alex; Vojta, Thomas | We employ large scale Monte Carlo simulations to investigate these models in the presence of an absorbing wall. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

658 | Diffusion in dynamic crowded spaces | Yllanes, David; Bendekgey, Harry; Huber, Greg; Yan, Le | Here we propose an extension of commonly used "Swiss-cheese" models to include moving obstacles and study it with numerical simulations in one, two and three dimensions. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

659 | Trajectories and transport characteristics of a Brownian particle in a 1D potential subject to bias. | Jiron, Trey; Schiffbauer, Jarrod | We investigate one-dimensional driven, diffusive motion of a single Brownian particle moving through a periodic lattice potential and subject to a constant, uniform bias using a Langevin equation of motion. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

660 | Fluctuation theorem for geometric pumping processes | Hayakawa, Hisao | We derive an extended fluctuation theorem for an open quantum system coupled with two reservoirs under one-cycle modulation. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

661 | Stochastic Line Integrals as Metrics of Irreversibility and Heat Transfer | Teitsworth, Stephen; Neu, John | In this talk, we provide a framework for understanding general properties of stochastic line integrals and clarify their implementation for experiments and simulations as well as their utility as metrics for quantifying non-equilibrium behavior. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

662 | Minimal Model for Intermittent Dynamics and "Turbulence" in Many-Body Systems | Gogia, Guram; Yu, Wentao; Burton, Justin | Inspired by our previous experimental findings [1], here we present computational results for a particle-based system that exhibits intermittent switching between two distinct phases. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

663 | Stochastic transitions between phase-locked steady states in RF-irradiated graphene Josephson junctions | Larson, Trevyn; Zhao, Lingfei; Arnault, Ethan; Wei, Ming-Tso; Seredinski, Andrew; Li, Hengming; Watanabe, Kenji; Taniguchi, Takashi; Amet, Francois; Finkelstein, Gleb | We investigate the Shapiro steps in a graphene-based Josephson junction with large gap MoRe leads. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

664 | Understanding Stochastic Dynamics in Classical and Quantum Metastable Condensed Matter Systems | Spagnolo, Bernardo | We obtain: (i) exact analytical results of the residence time in the presence of Lévy flights in unstable potential profile, and noise enhanced stability phenomenon is observed in the system investigated and in JJs. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

665 | Anomalous Phase Dynamics of Driven Graphene Josephson Junctions | Kalantre, Sandesh; Yu, Fan; Wei, Ming-Tso; Watanabe, Kenji; Taniguchi, Takashi; Hernandez-Rivera, MIguel; Amet, Francois; Williams, James | In this work, we report on DC and AC Josephson effect of high-mobility, hexagonal boron nitride encapsulated graphene Josephson junctions. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

666 | A theoretical model for ionic transport in a viscosity gradient | Stein, Derek; Wiener, Benjamin | We present an explanation based on the Maxwell-Stefan (MS) theory of diffusion. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

667 | Pulling cargo increases the precision of molecular motor progress | Brown, Aidan; Sivak, David | We find that the widely used "constant-force" approximation for the effect of cargo on motor dynamics leads to a much larger variance of motor step number compared to explicitly modeling diffusive cargo, suggesting the constant-force approximation may be misapplied in some cases. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

668 | Spectral method for estimating entropy production rates in spatially extended systems | Seara, Daniel; Machta, Benjamin; Murrell, Michael | We present a generic method for estimating entropy production rates from stochastic time series data for both random variables and fields while providing insight into the dissipative processes underlying their dynamics. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

669 | Learning the Non-Equilibrium Dynamics of Brownian Movies | Gnesotto, Federico; Gradziuk, Grzegorz; Ronceray, Pierre; Broedersz, Chase | In this talk, we present a new approach that does not rely on the tracking of probes in the system. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

670 | Spectral decomposition of irreversibility reveals structure of nonequilibrium activity in biological systems | Bacanu, Alexandru; Pelletier, James; Jung, Yoon; Horowitz, Jordan; Fakhri, Nikta | Using normal mode decomposition of filament shape fluctuations, we infer the structure of the actomyosin-driven mechanical fluctuations. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

671 | Noisy driven oscillators: Adaptive drives break the fluctuation-dissipation theorem | Sheth, Janaki; Levine, Alex; Bozovic, Dolores | We explore the fluctuations and response functions of intrinsically noisy limit-cycle oscillators starting with models of stereocilium dynamics in the inner ear. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

672 | A generalized theory of interactions for complex multiscale stochastic systems with thermodynamic irreversibility | Núñez-Corrales, Santiago; Jakobsson, Eric | We present ongoing work towards a novel mathematical physics development that aims to capture statistical mechanical properties of complex multiscale stochastic systems driven by irreversible thermodynamics, a generalized theory of interactions (GToI) with a purely relational view in which interactions are fundamental entities, while objects and laws are derived. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

673 | Non-equilibrium response of a strongly coupled rotary motor | Lathouwers, Emma; Lucero, Joseph; Sivak, David | Using a simple model of FoF1-ATP synthase (the primary motor for ATP synthesis), we investigate the interplay between non-equilibrium driving forces, natural equilibrium fluctuations, and interactions between the strongly coupled subsystems of this ingenious rotary machine. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

674 | Stochastic Dynamics and Selection in the One Dimensional Stabilized Kuramoto-Sivashinsky Equation | Saxena, Saloni; Kosterlitz, John | We study coarsening dynamics in the stabilized Kuramoto-Sivashinsky (SKS) equation in one dimension, with and without noise. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

675 | Maxwell’s demons with finite size and response time | Rupprecht, Nathaniel; Vural, Dervis | Here, we focus on its rate of operation. | Session 40: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

676 | The flocking theory: The early developments and a new perspective | Tu, Yuhai | The flocking theory: The early developments and a new perspective | Session 41: Onsager/Apker/Oppenheim/Kadanoff Prize Session |

677 | Title: Birth, Death, and Flight: the hydrodynamics of Malthusian flocks | Toner, John | Abstract: I’ll present the hydrodynamic theory of “Malthusian Flocks": moving aggregates of self-propelled entities (e.g., organisms, cytoskeletal actin, microtubules in mitotic spindles) that reproduce and die. | Session 41: Onsager/Apker/Oppenheim/Kadanoff Prize Session |

678 | Dynamics of the Outer Solar System: from Neptune to Planet Nine | Khain, Tali | In this talk, we will analyze the orbital dynamics of the Kuiper belt objects (KBOs) both with numerical simulations and with a theoretical Hamiltonian approach. | Session 41: Onsager/Apker/Oppenheim/Kadanoff Prize Session |

679 | Irwin Oppenheim Award talk: What is the simplest model of an amorphous solid? | DeGiuli, Eric | I will review attempts to answer this question from jamming, large-dimension, and field-theoretic approaches, and argue that the latter is useful and parsimonious. | Session 41: Onsager/Apker/Oppenheim/Kadanoff Prize Session |

680 | Something from (almost) nothing: complex lessons from simplicity | Goldenfeld, Nigel | I describe the use of minimal renormalization-group inspired/justified models in non-equilibrium statistical physics and biology. | Session 41: Onsager/Apker/Oppenheim/Kadanoff Prize Session |

681 | A statistical mechanical theory for the origin of rigidity in crystalline solids | Sengupta, Surajit | Starting from these general considerations, we had shown that crystal rigidity arises as a consequence of a first order phase transition in an expanded parameter space [1]. | Session 42: Origin of Rigidity and Yielding |

682 | Critical Scaling of Avalanches with Strain Rate in Athermal, Disordered Solids | Robbins, Mark; Clemmer, Joel; Salerno, Kenneth | In contrast to lattice models, we find z>1, as required by causality. | Session 42: Origin of Rigidity and Yielding |

683 | Bauschinger effect in model glasses | Patinet, Sylvain; Barbot, Armand; El Korde, Ismail; Lerbinger, Matthias; Vandembroucq, Damien; Lemaître, Anaël | We present here recent results obtained on two-dimensional model glasses at atomistic and mesoscopic scales. | Session 42: Origin of Rigidity and Yielding |

684 | Shear banding transition in granular materials under uniform and boundary shear | Zhao, Yiqiu; Bares, Jonathan; Zheng, Hu; Socolar, Joshua | In the present work, we study how this transition is affected by the specific choice of the relative velocities of the rings. | Session 42: Origin of Rigidity and Yielding |

685 | Strain localization and shear band formation during tensile tests of disordered floating granular monolayers | Xiao, Hongyi; Ivancic, Robert; Zhang, Ge; Riggleman, Robert; Liu, Andrea; Durian, Douglas | In this study, quasi-static tensile experiments were performed using a model disordered solid consisting of a monolayer of polydisperse granular spheres with capillary attractions floating on an air-oil interface. | Session 42: Origin of Rigidity and Yielding |

686 | Yielding and mechanical failure in (amorphous) solids | Horbach, Juergen | Recently, a Monte Carlo simulation study [1] has shown that yielding in crystalline solids is associated with an underlying quasi-static first-order phase transition. | Session 42: Origin of Rigidity and Yielding |

687 | Unjamming and reentrant jamming of dense systems in the extreme active limit | Bedi, Deshpreet; Chaudhuri, Pinaki; Dasgupta, Chandan; Chakraborty, Bulbul | We find that there is a threshold force above which the system remains fluid indefinitely but below which the system experiences reentrant jamming, and that this threshold force increases as the density of the system is increased. | Session 42: Origin of Rigidity and Yielding |

688 | States of self-stress in disordered solids | Zhang, Shang; Zhang, Leyou; Vasisht, Vishwas; Del Gado, Emanuela; Mao, Xiaoming | We investigate the interplay between the mechanical responses of disordered solids and their states of self-stress (SSSs), which are equilibrium stress distributions in a mechanical network with force balanced on any component. | Session 42: Origin of Rigidity and Yielding |

689 | Local order and structural rearrangement in two-dimensional jammed systems under oscillatory shear | Teich, Erin; Galloway, Larry; Arratia, Paulo; Bassett, Danielle | We analyze local crystallinity and identify crystal grains in these systems. | Session 42: Origin of Rigidity and Yielding |

690 | Yielding and transient shear banding in soft jammed solids | Vasisht, Vishwas; Del Gado, Emanuela | We use this computational approach to investigate the microscopic origin of the flow inhomogeneities and the role played by the confinement. | Session 42: Origin of Rigidity and Yielding |

691 | Strain dependent hysteresis in nanoparticle aggregate dispersions visualized to explain origin of the Payne Effect and Spectral Hole Burning in cross-linked filled rubber | Gault, Zach; Terdik, Zsolt; Lu, Peter; Werner, Joerg; Weitz, David | We create a transparent model system to study the strain dependent hysteresis of nanoparticle aggregates. | Session 42: Origin of Rigidity and Yielding |

692 | Creating novel patterns with localized control in non-linear reaction-diffusion systems | Czak, Jason; Pleimling, Michel | We present a comprehensive view of the effects of control routines applied to this system. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

693 | Motion and Chain formation of Conductive Spheres on a Horizontal Insulator Surface Immersed in Dielectric Liquids | Zhang, Xuewei | In this work, for individual sphere, the dependence of the total force that drives its motion on the properties of the dielectric liquid is shown. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

694 | Classical many-body chaos across Kosterlitz-Thouless and Ising transitions in two dimensions | Ruidas, Sibaram; Banerjee, Sumilan | Here we study the temperature dependence of the chaotic behavior across thermal phase transitions in a well-known classical spin system, the XXZ model on a square lattice. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

695 | New parameters for an alternative characterization of the nematic transition for rods deposition on 2D lattices | Vogel, Eugenio; Saravia, Gonzalo; Ramirez-Pastor, Antonio; Pasinetti, Marcelo | New parameters for an alternative characterization of the nematic transition for rods deposition on 2D lattices | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

696 | Deterministic Phase Transitions and Self-Organization in Logistic Cellular Automata | Ibrahimi, Muhamet; Gulseren, Oguz; Jahangirov, Seymur | We present a simple extension in which a single parameter tunes the dynamics of Cellular Automata by consequently expanding their discrete state space into a Cantor Set. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

697 | New type of oscillation death in coupled counter-rotating identical nonlinear oscillators | Ryu, Jung-Wan; Son, Woo-Sik; Hwang, Dong-Uk | We study oscillatory and oscillation suppressed phases in coupled counter-rotating nonlinear oscillators. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

698 | Effects of the fluid flows on the stability of enzymatic chemical oscillations | Shklyaev, Oleg; Yashin, Victor; Balazs, Anna | To examine this effect, we consider a flow of chemical solution confined between two parallel walls forming a channel. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

699 | Spatiotemporal dynamics of flame front instability described by an extended Kuramoto-Sivashinsky equation | Nomi, Yuji; Gotoda, Hiroshi; Almarcha, Christophe | We numerically study the spatiotemporal dynamics in an extended Kuramoto-Sivashinsky equation describing a freely propagating flame in a Hele-Shaw cell. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

700 | Dendritic crystal growth of ammonium nitrate and ammonium chloride | Dougherty, Andrew | In this work, we present results for ammonium chloride dendrites, and compare them with new results for ammonium nitrate dendrites grown from supersaturated aqueous solution. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

701 | Emergent Bose-Einstein statistics in classical non-equilibrium systems with scale selection | Heinonen, Vili; Saenz, Pedro; Slomka, Jonasz; Burns, Keaton; Dunkel, Jörn | Here, we investigate the statistics of a broad class of non-equilibrium systems in which an intrinsic length-scale selection mechanism effectively constrains the dynamics of the microscopic degrees of freedom. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

702 | Coarse-Graining and Renormalization without Locality | Natale, Joseph; Martini, K. Michael; Nemenman, Ilya | Here, we introduce a scheme inspired by the recent work on coarse-graining neural dynamics [1], which is capable of detecting infra-red behavior directly from experimental data without explicit reference to locality or symmetry. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

703 | Statistics of coherent subsets in the Kuramoto model for uniform distributions | GurrEithun, Taylor; Mertens, David | This opens a new route for computing finite size effects, which we will present. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

704 | Emergence of Complexity in Self-Limited Assemblies of Nanoparticles | Kotov, Nicholas | In this talk, I will address the mechanism and variety of self-limited assemblies of NPs and mechanisms of emergent complexity especially for chiral NPs. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

705 | Topological Control of Synchronization Patterns: Trading Symmetry for Stability | Hart, Joseph; Zhang, Yuanzhao; Roy, Rajarshi; Motter, Adilson | These results lead to new possibilities for the topological control of synchronization patterns, which we substantiate by presenting an algorithm that optimizes the structure of individual clusters under various constraints | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

706 | Phase Synchronization in 2D Kuramoto Model | Sarkar, Mrinal; Gupte, Neelima | We study a system of identical Kuramoto oscillators in the presence of Gaussian white noise. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

707 | Concentration-measure theory of waves: new perspectives of the fundamentals of nonequilibrium statistical physics and mesoscopic physics | fang, ping | In this talk, I shall report our recent progress on the fundamentals of nonequilibrium statistical physics. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

708 | Coherent Perfect Absorption in Chaotic Microwave Graphs | Chen, Lei; Kottos, Tsampikos; Anlage, Steven | By adding a simple variable lossy attenuator into the system, we can effectively identify the CPA frequencies as the complex zeros of the scattering matrix which crosses the real axis and achieve perfect absorption in this chaotic setup. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

709 | Tailored Noise Correlations and Generalized Levy Wave Dynamics in Multimode Systems | Li, Yaxin; Cohen, Doron; Kottos, Tsampikos | Using this method we have developed a systematic approach that enforces a generalized Levy-type wave dynamics with a power law that it is imposed from the noise correlations. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

710 | : Efficient Hybrid Model of Field and Energy Flow in Interconnected Wave Chaotic Systems | Anlage, Steven; Ma, Shukai; Phang, Sendy; Drikas, Zachary; Addisie, Bisrat; Hong, Ronald; Blakaj, Valon; Gradoni, Gabriele; Tanner, Gregor; Antonsen, Thomas; Ott, Edward | Here we combine the best aspects of each model to create a hybrid treatment and study the EM fields in arrays of coupled complex systems. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

711 | Breakdown of the Metastable State in the β Fermi-Pasta-Ulam-Tsingou Lattice | Reiss, Kevin; Pace, Salvatore; Campbell, David | We investigate numerically the formation and disappearance of Fermi-Pasta-Ulam-Tsingou (FPUT) recurrences in the β FPUT lattice, with special consideration to the lifespan of the metastable state. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

712 | The β Fermi-Pasta-Ulam-Tsingou Recurrence Problem | Pace, Salvatore; Reiss, Kevin; Campbell, David | We show numerically that the rescaled FPUT recurrence time T r =t r(N + 1) -3 depends, for large N, only on the parameter S ≡ Eβ(N + 1). | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

713 | Statistical model and universality class for interacting puffs in transitional turbulence | Lemoult, Grégoire; Vasudevan, Mukund; Lopez, Jose; Shih, Hong-Yan; Linga, Gaute; Hof, Bjoern; Mathiesen, Joachim; Goldenfeld, Nigel; Hof, Bjoern | Away from the transition, we find a crystal-like pattern with spatio-temporal intermittency. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

714 | A reduced model for a single cardiac cell | Wu, ShangJung; Wu, Kuo-An | Hence, we propose a reduced model derived from an existing cardiac ionic model, and show that this three-variable dynamical system exhibits similar bifurcation diagram as that of the ionic model. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

715 | Diffusive behavior in walking droplets | Rahman, Aminur; Pucci, Giuseppe; Harris, Daniel | We present an experimental and theoretical investigation of such droplets. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

716 | Sloppy model analysis of dynamical systems near bifurcations | Anderson, Christian; Transtrum, Mark | We apply sloppy model analysis to several dynamical systems near their bifurcations. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

717 | A mathematical approach to the effects of gender bias and cross gender interactions on careers in STEM. | Pearce, Jennifer; Jensen, Jessica; Valenti, Darrell; Caffrey, Juliette | We propose a model that simulates the progression of women in male-dominated fields starting from the equations for a model predator-prey type system. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

718 | Hysteresis Experiments in Coupled Oscillators near Daido’s Aging Transition | Hauksson, Olafur; Mertens, David | The shape of the hysteresis loop exhibits a strong dependence on the rate at which we drive the system through the transition. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

719 | Conformal field theory and the web of quantum chaos diagnostics | Kudler-Flam, Jonah; Nie, Laimei; Ryu, Shinsei | In this process, we study the emergence of irrationality from “large-N” limits of rational conformal field theories (RCFTs) as well as the explicit breakdown of rationality for theories with central charges greater than the number of their conserved currents. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

720 | Cryptographic analysis of chaotic systems | Gilpin, William | We describe a direct analogy between these functions and the trajectories of particles advected by fluid flows, and we show that, when the governing flow is chaotic, hydrodynamic hash functions exhibit statistical properties typically associated with hash functions used for digital cryptography. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

721 | Universality in Kinetic Models of Circadian Rhythms in Arabidopsis thaliana | Xu, Yian; Asadi-Zeydabadi, Masoud; Tagg, Randall; Shindell, Orrin | Separately, we perform a weakly nonlinear analysis on each model near bifurcation to predict the amplitude and frequency of the oscillating concentration of chemical species from the Stuart-Landau amplitude equation. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

722 | Operator scrambling, hypersensitivity, and quantum Lyapunov spectrum | Yan, Bin; Sinitsyn, Nikolai; Zurek, Wojciech | This work presents a model study of the quantum inverted harmonic oscillator (IHO), an archetype example for quantum chaotic systems. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

723 | Non-equilibrium Renormalization Group Fixed-Points of the Quantum Potts Chain | Wu, Yantao | We devise a renormalization group recursion relation of the Loschmidt amplitude of the quantum Potts chain. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

724 | Laminar Chaos in a Mackey-Glass feedback circuit with Variable Time-Delay | Jin, David; Speer, Juan Pablo; Hart, Joseph; Chembo, Yanne; MURPHY, THOMAS E.; Roy, Rajarshi | The Mackey-Glass model, developed to simulate the physiological mechanism of red blood cells, is a common time-delay system that can yield a wide range of periodic and chaotic dynamics. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

725 | Theory of gating in recurrent neural networks | Krishnamurthy, Kamesh; Can, Tankut; Schwab, David | We leverage tools from the field theory of disordered systems to develop a theory of gating in a canonical neural network model. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

726 | Short-term forecasting of hyperchaotic time series by noisy echo state network | Miyano, Takaya; Shinozaki, Aren; Horio, Yoshihiko | We have applied a noisy echo state network, wherein pseudorandom numbers subject to uniform distribution are input to the reservoir nodes, to the short-term forecasting of a hyperchaotic time series generated by a star network of nonidentical Lorenz subsystems. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

727 | Critical branching processes in digital memcomputing machines | Bearden, Sean; Sheldon, Forrest; Di Ventra, Massimiliano | It can be realized in practice by means of non-linear dynamical systems whose point attractors represent the solutions of the original problem. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

728 | Connecting Dynamics and Trainability in Recurrent Neural Networks | Can, Tankut; Krishnamurthy, Kamesh; Schwab, David | Using random matrix theory, we elucidate how gating enriches the repertoire of dynamical behavior expressed by these networks. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

729 | Misalignment-induced frequency locking in lasers | Nair, Niketh; Braiman, Yehuda | We study arrays of heterogeneous single-mode semiconductor lasers coupled through an external cavity with facet misalignments. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

730 | Self-beating | Chen, Kuan-Ren; Hong, Jian-Shiung; Chen, Alexander | Considering only linear materials and processes, we discover a new mechanism of self-beating to produce a wave function that does not appear to be linear. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

731 | Chaotic Dynamics Enhance the Sensitivity of Inner Ear Hair Cells | Faber, Justin; Bozovic, Dolores | We propose that the instabilities giving rise to chaotic dynamics are responsible for the extreme sensitivity of hair cells. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

732 | Nonlinear Coherent Perfect Absorbers | Tang, Yaqian; Jeon, Do Hyeok; Kottos, Tsampikos | A general solution for the design of the incoming waveform is proposed, and a plethora of CPA frequencies that depend on the intensity of the incident radiation is found–a feature that was not present in linear CPAs. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

733 | Recent advences on non-normalizable Boltzmann-Gibbs statistics and infinite-ergodic theory | Aghion, Erez; Kessler, David; Barkai, Eli | Thus, our work extends the standard thermodynamic theory to a new class of potentials, and provides further strong evidence to the physical significance of infinite-ergodic theory. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

734 | Experimental Observation of a Non-Normalizable Boltzmann State | Dietvorst, Carsten; Krapf, Diego | Experimental Observation of a Non-Normalizable Boltzmann State | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

735 | Experimental Search for Supradegeneracy | Sheehan, Daniel | This talk reviews the current laboratory search for supradegeneracy in condensed matter systems, specifically, in semiconductors and concentration-graded ionomer membranes. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

736 | Lacunarity exponents in chaotic systems | Pradas, Marc; Wilkinson, Michael; Huber, Greg; Pumir, Alain | Here, we discuss a robust mechanism that explains the wide occurrence of these power laws and gives analytical expressions for the lacunarity exponent in some cases of interest, including simple chaotic models and the problem of particles advected by fluid flow. | Session 43: Pattern Formation, Chaos, Nonlinear Dynamics |

737 | Bubble Nucleation in Polymer-CO2 Mixtures | Wang, Zhen-Gang | We present an incipient-phase analysis which allows identification of phases that can form from the metastable CO 2-supersaturated parent phase. | Session 44: Physics of Foams: Fundamentals and Applications |

738 | Equilibrium coexistence between polyol, CO2, and a physical blowing agent at elevated pressures | Chao, Huikuan; Ylitalo, Andrew; Kornfield, Julie; Ginzburg, Valeriy; Zhou, Weijun; Fitzgibbons, Thomas; Wang, Zhen-Gang | As a fist step to approach the issue, we develop a liquid-state theory of a ternary foaming system (PBA, CO 2 and polyols) and study the phase behaviors of the system at manufacture-relevant conditions. | Session 44: Physics of Foams: Fundamentals and Applications |

739 | Microfluidic Approach to Study Bubble Nucleation in Polymeric Foams for the Development of DFT-based Models | Ylitalo, Andrew; Chao, Huikuan; Fitzgibbons, Thomas; Ginzburg, Valeriy; Zhou, Weijun; Wang, Zhen-Gang; Kornfield, Julie | Single-component classical nucleation theory predicts erroneous nucleation barriers, particularly when applied to foaming of multicomponent liquids used to produce lightweight, functional materials. | Session 44: Physics of Foams: Fundamentals and Applications |

740 | An Off-Lattice Sanchez-Lacombe Related Equation of State Extensible to Polymeric Foams | Alam, Hassan; Park, Chul B.; Thompson, Russell | Thus, we proposed a new criterion for glass transition temperature calculations. | Session 44: Physics of Foams: Fundamentals and Applications |

741 | Experimental Test of the Border-Crossing Model of Diffusive Coarsening in Wet Foams | Durian, Douglas; Chieco, Anthony | Here we extend this theory and describe on-going experiments to test it by measurement of area changes for six-sided bubbles, which would neither grow nor shrink if perfectly dry. | Session 44: Physics of Foams: Fundamentals and Applications |

742 | Experimentally Testing a Generalized Coarsening Model for Quasi-Two-Dimensional Wet Foams | Chieco, Anthony; Durian, Douglas | Accounting for the size of the Plateau borders and gas that diffuses through both the Plateau Borders and thin films separating two bubbles, we modify von Neumann’s law to a no-fit general coarsening equation where bubble size and shape now matter. | Session 44: Physics of Foams: Fundamentals and Applications |

743 | Intelligent Design of Cellular Solids for Impact Mitigation | Reyes-Martinez, Marcos; Shen, Meng; Chan, Edwin; Soles, Christopher; Pashine, Nidhi; Nagel, Sidney; Jaeger, Heinrich; De Pablo, Juan | Here, we demonstrate bond pruning and global node position optimization as effective routes for designing cellular materials with isotropic auxetic properties, and for independently controlling μ and K. | Session 44: Physics of Foams: Fundamentals and Applications |

744 | Heat transfer of low-density styrenic foam | Wong, Anson; Rickard, Mark | Heat transfer of low-density styrenic foam | Session 44: Physics of Foams: Fundamentals and Applications |

745 | Human Comfort and the Physics of Foams | Aou, Kaoru; Xu, Wenbo; Dietsche, Laura; Brune, Douglas; Thota, Manoj | Thermal comfort simulation was conducted using the ASHRAE Human Comfort model, coupled with a multiphysics model taking into account natural convection of air, thermal conduction and mass (water vapor) diffusion phenomena. | Session 44: Physics of Foams: Fundamentals and Applications |

746 | Foam formation in microfluidic EDGE devices: tuning the bubble size | Deng, Boxin; Schroën, Karin; De Ruiter, Jolet | We use so-called partitioned-EDGE microfluidic chips with which we can produce bubbles in an array of rectangular pores. | Session 44: Physics of Foams: Fundamentals and Applications |

747 | Phoamtonic designs yield sizeable 3D photonic band gaps | Klatt, Michael Andreas; Steinhardt, Paul; Torquato, Salvatore | We show that it is possible to construct foam-based heterostructures with complete photonic band gaps. | Session 44: Physics of Foams: Fundamentals and Applications |

748 | Strategies transcription factors use to gain access to nucleosomal DNA | Poirier, Michael | I will discuss proposed strategies for how transcription factors bind to their sites within compact chromatin, and the differences between activating and pioneering transcription factors. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

749 | Theory and modeling of active nucleosome repositioning | Jiang, Zhongling; Zhang, Bin | For remodeling enzymes, we use a perturbation theory to show that the effect of these enzymes can be well approximated by effective equilibrium models with rescaled temperatures and interactions. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

750 | Centromeres and Telomeres as Rheological Probes of the Human Nucleus | Clavijo, Alexis; Ionov, Steven; Zidovska, Alexandra | In this work, we investigate dynamics of specific genomic loci, centromeres and telomeres, the centers and ends of the linear interphase chromosomes, respectively, in the context of their local rheological environment. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

751 | Knot dynamics of a DNA strand pushed inside a nanochannel | Rothörl, Jan; Virnau, Peter; Bhattacharya, Aniket | We investigate knot formation for a model DNA polymer pushed inside a square nanochannel whose width is much shorter compared to the contour length of the chain using Brownian dynamics simulation. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

752 | Error-speed correlations in biopolymer synthesis | Pigolotti, Simone; Chiuchiu, Davide; Tu, Yuhai | We study fluctuations of error and speed in biopolymer synthesis and show that they are in general correlated. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

753 | Noninvasive Measurement of Interphase Chromatin Rheology In Vivo | Eshghi, Iraj; Eaton, Jonah; Zidovska, Alexandra | Recently, we developed an injection-free noninvasive approach to study chromatin rheology using nuclear organelles as native probes [2]. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

754 | A Mechanochemical Model of Transcriptional Bursting | Klindziuk, Alena; Meadowcroft, Billie; Kolomeisky, Anatoly | Stimulated by these observations, we developed a stochastic mechano-chemical model of supercoiling-induced transcriptional bursting. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

755 | Field theoretic methods applied to epigenetic models | Sood, Amogh; Zhang, Bin | We introduced a (0+1)-dimensional kinetic model, wherein modified nucleosomes recruit enzymes that similarly modify neighbouring nucleosomes, to investigate the stability and heritability of the states. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

756 | Pulling a DNA through a Double-Nanopore system: A Brownian Dynamics Study | Smucz, Peter; Seth, Swarnadeep; Bhattacharya, Aniket | We study translocation of a model DNA polymer captured in a double nanopore (DNP) system using Brownian dynamics (BD). | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

757 | Loop extrusion in chromatin: A question of time! | Maji, Ajoy; Padinhateeri, Ranjith; Mitra, Mithun | We propose a simple physical answer to this puzzle and show how a naive obstacle view of nucleosomes can be misleading. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

758 | Structural and Dynamical Signatures of Local DNA Damage in Live Cells | Eaton, Jonah; Zidovska, Alexandra | We investigate the interphase chromatin dynamics in human cells in response to local damage, DNA double strand breaks (DSBs), by monitoring the DSB dynamics and the compaction of the surrounding chromatin in live cells. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

759 | Extracting the degree of order in the bacterial chromosome using statistical physics | Messelink, Joris; Janssen, Jacqueline; van Teeseling, Muriel; Thanbichler, Martin; Broedersz, Chase | To investigate this, we develop a maximum entropy approach to extract the three-dimensional structure of the bacterial chromosome from such data. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

760 | Direct Quantification of Gene Regulation by Transcription-Factor Binding at an Endogenous Gene Locus | Wang, Jingyao; Dong, Yijing; Bao, Huihan; Yao, Xintao; Sokac, Anna; Golding, Ido; Xu, Heng | Using stochastic theoretical analysis, we show that TF binding follows nonequilibrium multi-state kinetics, breaking the law of mass action. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

761 | On the Border of Order: Chromosomal Organization in Space and Time | Zhang, Yaojun; Khanna, Nimish; Lucas, Joseph; Murre, Cornelis; Dudko, Olga | We address these questions in the context of adaptive immunity – the system that enables the individual to respond to a great variety of pathogens through a diverse repertoire of antibodies. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

762 | A “Tug-of-War” in a three dimensional Double-Nanopore system | Seth, Swarnadeep; Bhattacharya, Aniket | We simulate a model system in three dimensions and use Brownian dynamics to reveal the details of the single file translocation. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

763 | Studies of nucleosome-decorated DNA structures and deformations using a new analytical model | Sabok-Sayr, Seyed Ahmad; Olson, Wilma | We introduce a new analytical treatment of nucleosome-decorated DNA which is made up of three essential parts: nucleosomal DNA; protein-free stretches of DNA; and the intervening connectors. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

764 | Long-lived memory and dynamics of liquefied chromatin | Banigan, Edward; Belaghzal, Houda; Borrman, Tyler; Dekker, Job; Mirny, Leonid | In a heteropolymer simulation model, we find that strong interactions between inactive chromatin segments can lead to slow melting of inactive compartments, as in experiments. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

765 | The Dynamic Archaeal Chromatin “Slinky” | Bowerman, Samuel | Here, we utilize molecular dynamics simulations, cryoEM, and analytical ultracentrifugation to study the inherent dynamics of these putative chromatin slinkies. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

766 | 5-methyl-cytosine binding proteins loop DNA under nanoconfinement | Liu, Ming; Williams, David; Wang, Hong; Riehn, Robert | By using atomic force microscopy (AFM), we determined that the likely mechanism for compaction by MeCP2 is the formation of bridges between distant DNA stretches and the formation of loops. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

767 | Nuclear chromatin patterns: modeling dynamics of intra-chromatin interactions and its impact on structure organization | Laghmach, Rabia; Di Pierro, Michele; Potoyan, Davit | Here, we introduce a mesoscale liquid model of nucleus (MELON) that incorporates dynamic of interactions between A-B-C chromatin compartments of the nucleus, as well as the affinity between constitutive heterochromatin and Lamina at the nuclear envelope and nucleus deformation. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

768 | Long-distance group dynamics of RNA polymerases via DNA supercoiling | Kim, Sangjin | Here, we provide in vitro and in vivo evidence for a built-in mechanism by which co-transcribing RNAPs display either collaborative or antagonistic dynamics over long distances (>2 kb) through transcription-induced DNA supercoiling. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

769 | Interplay of chromatin self-adhesion and lengthwise compaction on interchromosomal organization | Brahmachari, Sumitabha; Contessoto, Vinicius; Di Pierro, Michele; Onuchic, Jose | We use a coarse-grained polymer model for chromosomes where centromeres and telomeres are treated as polymer blocks featuring respective self-adhesion, and simulate multiple chromosomes in a confined volume. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

770 | A minimal model for correlated chromatin dynamics | Liu, Kuang; Patteson, Alison; Banigan, Edward; Schwarz, Jennifer | Therefore, we construct a minimal polymeric model to study the spatiotemporal properties of chromatin by simulating a Rouse chain with excluded volume interactions confined within a rigid, spherical shell that represents the lamina. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

771 | Synergistic Coordination of Chromatin Torsional Mechanics and Topoisomerase Activity | Le, Tung; Gao, Xiang; Park, Seong ha; Lee, Jaeyoon; Inman, James; Lee, Joyce; Killian, Jessica; Badman, Ryan; Berger, James; Wang, Michelle | By making direct torque measurements, we demonstrated that a single chromatin fiber (as would be located ahead of a replisome) is torsionally soft, while a braided chromatin fiber (as would be located behind the replisome) is relatively stiff. | Session 45: Physics of Genome Organization: From DNA to Chromatin: |

772 | Using Algebraic and Geometric Topology to Characterize Hierarchical Organization in Complex Solutions and Their Interfaces | Clark, Aurora | Ongoing work is combining both the algebraic and geometric topology formalism to create a holistic approach that relates hierarchical organizational patterns to structure and even function within complex solutions and their interfaces. | Session 46: Physics of Liquids |

773 | Hanging droplets from liquid surfaces | Xie, Ganhua; Forth, Joe; Zhu, Shipei; helms, brett; ashby, paul; Shum, Ho Chueng; Russell, Thomas | Here, we show that a droplet of a denser aqueous solution, containing a polyelectrolyte can hang on the surface of a less dense aqueous solution containing an oppositely charged polyelectrolyte. | Session 46: Physics of Liquids |

774 | Dipolar dimer liquid | Zhang, Junyi | A lattice liquid model, dipolar dimer liquid (DDL), is proposed motivated by the water. | Session 46: Physics of Liquids |

775 | Extended equation of state for non-ideal mixtures near the consolute critical point. | Rudnikov, Yevgenii; POTOMKIN, MYKOLA | Using the proposed approach for liquid components of obtained and literature data for mixtures C4H8O2 – H2O, CH4O – C6H14, C6H7N – D2O, the constant combinations of thermodynamic parameters have been found. | Session 46: Physics of Liquids |

776 | Numerical Modeling of Room Temperature Ionic Liquids | Klymko, Katherine; Bell, John; Garcia, Alejandro; Carney, Sean; Nonaka, Andy | We present a mesoscale numerical model for room temperature ionic liquids. | Session 46: Physics of Liquids |

777 | Evaporation of Lennard-Jones Monomer-Dimer Mixtures | Liu, Binghan; Cheng, Shengfeng | We use Lennard-Jones (LJ) liquids as model systems to study the nonequilibrium physics of evaporation. | Session 46: Physics of Liquids |

778 | Decomposing thermal fluctuations in fluids with hydrodynamic modes | Deng, Xiaohui | We report the analytic solution of the complete set of 2D hydrodynamic modes in a channel geometry, under the Navier slip boundary condition. | Session 46: Physics of Liquids |

779 | Correlation between local viscosity and the atomic-level stresses in liquids. | Iwashita, Takuya | To study the relationship between viscosity and local structures we performed molecular dynamics simulations on various metallic liquids. | Session 46: Physics of Liquids |

780 | Importance of nuclear quantum effects on the hydration of chloride ion | Xu, Jianhang; Sun, Zhaoru; Tang, Fujie; Lu, Deyu; Wu, Xifan | We performed ab initio path-integral molecular dynamics simulations based on the SCAN functional. | Session 46: Physics of Liquids |

781 | Connectedness of the configuration space of hard disk systems | Ericok, Ozan; Mason, Jeremy | Preliminary attaching maps are then found using the zero-temperature string method, resulting in a complete characterization of the topology of the configuration space of hard disk systems for small numbers of disks. | Session 46: Physics of Liquids |

782 | The stability-limit conjecture revisited | Chitnelawong, Pheerawich; Sciortino, Francesco; Poole, Peter | By demonstrating that a binodal may terminate on a spinodal at a point that is not a critical point, we show that the SLC is thermodynamically permissible in a system that has both a liquid-gas and a liquid-liquid phase transition. | Session 46: Physics of Liquids |

783 | Energy landscapes: from molecules and nanodevices to glasses and machine learning | Wales, David | This talk will highlight connections between glassy systems and emergent phenomena in clusters, biomolecules and soft matter. | Session 46: Physics of Liquids |

784 | Nanoscale dynamics of liquids: S(Q,ω) with 0.8 meV resolution using x-rays | Baron, Alfred; Ishikawa, Daisuke | We describe a new instrument for measuring the dynamic structure factor of liquids, S(Q,ω) , at the RIKEN SPring-8 Center in Japan using inelastic x-ray scattering (IXS) (see https://arxiv.org/abs/1504.01098). | Session 46: Physics of Liquids |

785 | The formation of nanoripples by ultra-low energy ion irradiation reveals the liquidus nature of metallic glass surface | Luo, Peng; Correa, Camilo; Spear, Jessica; Allain, Jean; Zhang, Yang | We report an experimental investigation of ion irradiation on metallic glasses (MGs), with extremely low ion energy of 50~225 eV, orders of magnitude lower than that often used in previous studies. | Session 46: Physics of Liquids |

786 | Study of Mesoscale Structure and Dynamics of Associated Liquid 2-propanol by Neutron Scattering and Molecular Dynamics Simulations | Zhai, Yanqin; Faraone, Antonio; Zhang, Yang | We focus on the mesoscale structures associated to the structure factor pre-peak at wavevector Q ~ 0.8 Å -1. | Session 46: Physics of Liquids |

787 | Self-Diffusion of Liquid Normal Hydrogen: A Quasi-Elastic Neutron Scattering Study | Prisk, Timothy; Hanna, Scott; Azuah, Richard | In this presentation, we report quasi-elastic neutron scattering measurements of liquid normal hydrogen under saturated vapor pressure. | Session 46: Physics of Liquids |

788 | A Microscopic Description of Dielectric Relaxation in Water using Quasi-Elastic Neutron Scattering | Sarathchandran, Yadu Krishnan; Shinohara, Yuya; Mamontov, Eugene; Dmowski, Wojciech; Egami, Takeshi | We report our study on the microscopic picture of water’s dielectric relaxation using the time-dependent pair-distribution function, the Van Hove function. | Session 46: Physics of Liquids |

789 | Atomic dynamics of liquid Hg studied by high-resolution inelastic x-ray scattering | Ishikawa, Daisuke; Baron, Alfred | We use the new setup to investigate liquid Hg with energy resolution >0.8 meV at temperature near the melting point T m = 234.3 K. | Session 46: Physics of Liquids |

790 | Isotope effect in liquid water explored by X-ray absorption spectroscopy | Zhang, Chunyi; Zhang, Linfeng; Xu, Jianhang; Tang, Fujie; Wu, Xifan | The X-ray absorption spectra (XAS) of both liquid H 2O and D 2O are computed using our recently developed approximate computational approach in solving Bethe-Salpeter equation. | Session 46: Physics of Liquids |

791 | The Long-range Ordering of Ions in Aqueous Salt Solutions | Fetisov, Evgenii; Fulton, John; Kathmann, Shawn; Mundy, Christopher; Schenter, Gregory | We use a combination of molecular dynamics and X-ray diffraction to correlate experimentally measured long-range structure to the precise spatial distribution of species in aqueous solutions of alkali and alkali earth halides. | Session 46: Physics of Liquids |

792 | Influence of ionic species on water broadband electrodynamics | Artemov, Vasily; Ouerdane, Henni | Accounting for dielectric properties [2], isotopic effects [3] and confinement effects [4], we present a model of water based on the time-dependence of the ionic species concentration, over the whole time interval between the intermolecular direct current (below microseconds) and intramolecular infrared vibrations (sub-picoseconds), which so far was hardly achievable. | Session 46: Physics of Liquids |

793 | Supramolecular Interactions and Non-Equilibrium Properties of Non-Aqueous Electrolytic Solutions for Next Generation Flow Batteries | Farag, Hossam; Shkrob, Ilya; Zhang, Lu; Cheng, Lei; Zhang, Yang | Herein, we present the simulation results and relative analysis. | Session 46: Physics of Liquids |

794 | Local Dynamics in Metallic Liquids Studied by Inelastic Neutron Scattering | Wang, Zengquan; Wang, Hui; Dmowski, Wojciech; Kelton, Kenneth; Egami, Takeshi | In this research, inelastic neutron scattering (INS) experiments were carried out on various metallic liquid droplets (including single, binary, and complex BMG forming liquids), using an electro-static levitator, at different temperatures at SNS. | Session 46: Physics of Liquids |

795 | High-resolution neutron imaging study of kinetics of H2O water vapor uptake from air into sessile heavy water droplets | Im, Jae Kwan; Jung, Leekyo; Crha, Jan; Trtik, Pavel; Jeong, Joonwoo | Here we report the neutron imaging of a sessile heavy water (D 2O) droplet that absorbs light water (H 2O) vapor from the ambient air. | Session 46: Physics of Liquids |

796 | A statistical-mechanics approach to microbiome data analysis | Marsland, Robert; Mehta, Pankaj | In this talk, I will draw on conceptual tools from statistical physics, which were designed to answer precisely these sorts of questions. | Session 47: Physics of Microbiomes and Bacterial Communities |

797 | Quantifying multi-species bacterial interactions in larval zebrafish | Sundarraman, Deepika; Hay, Edouard; Martins, Dylan; Shields, Drew; Pettinari, Noah; Guillemin, Karen; Parthasarathy, Raghuveer | To address this, we consider commensal intestinal microbes in larval zebrafish, initially raised germ-free to allow introduction of controlled combinations of bacterial species. | Session 47: Physics of Microbiomes and Bacterial Communities |

798 | Species covariance in C. elegans microbiome demonstrates existence of bacteria-bacteria and host-bacteria interactions | Martini, K. Michael; Taylor, Megan; Nemenman, Ilya; Vega, Nicole | Here we analyze a simplified community of bacteria in the gut of Caenorhabditis elegans, a roundworm. | Session 47: Physics of Microbiomes and Bacterial Communities |

799 | Evidence for a multi-level trophic organization of the human gut microbiome | Wang, Tong; Goyal, Akshit; Dubinkina, Veronika; Maslov, Sergei | Here, using a simplified model, we provide quantitative support for a multi-level trophic organization of the human gut microbiome, where microbes consume and secrete metabolites in multiple iterative steps. | Session 47: Physics of Microbiomes and Bacterial Communities |

800 | Regime shifts in a phage-bacterial ecosystem and strategies for its control | Maslov, Sergei; Sneppen, Kim | We propose and study a successful control strategy via short population pulses aimed at inducing the desired regime shifts. | Session 47: Physics of Microbiomes and Bacterial Communities |

801 | Biophysical consequences of sublethal antibiotics on gut bacterial persistence and transmission | Schlomann, Brandon; Wiles, Travis; Wall, Elena; Guillemin, Karen; Parthasarathy, Raghuveer | A biophysical model, reminiscent of models of polymer growth and gelation, describes microbial dynamics and makes testable predictions of aggregation properties. | Session 47: Physics of Microbiomes and Bacterial Communities |

802 | Delayed antibiotic exposure induces population collapse in enterococcal communities with drug-resistant subpopulations | Hallinen, Kelsey; Karslake, Jason; Wood, Kevin | In this work, we show the dynamics of E. faecalis communities exposed to antibiotics can be surprisingly rich, as increasing population size or delaying drug exposure can promote population collapse. | Session 47: Physics of Microbiomes and Bacterial Communities |

803 | Predicting microbial community metabolic function from genomic structure | Gowda, Karna; Ping, Derek; Troyer, Laura; Mani, Madhav; Kuehn, Seppe | We approach this prediction problem using denitrification as a model metabolic process. | Session 47: Physics of Microbiomes and Bacterial Communities |

804 | Cross-feeding is not necessarily evolutionarily stable | Liu, Bo; Li, Zhiyuan; Wingreen, Ned | To address this question, we constructed a minimum metabolic model of cross-feeding, with trade-offs in enzyme allocation and reversible energy-producing reactions. | Session 47: Physics of Microbiomes and Bacterial Communities |

805 | Percolation transition of pusher-type microswimmers | Schwarzendahl, Fabian Jan; Mazza, Marco | In this talk I will present the presence of a continuum percolation transition in model suspensions of pusher-type microswimmers. | Session 47: Physics of Microbiomes and Bacterial Communities |

806 | Biphasic Chemotaxis of E. coli to the Microbiota Metabolite Indole | Yang, Jingyun; Chawla, Ravi; Rhee, Kathy; Gupta, Rachit; Manson, Michael; Jayaraman, Arul; Lele, Pushkar | I will discuss analytical models to explain these and other physiological responses to indole. | Session 47: Physics of Microbiomes and Bacterial Communities |

807 | Dynamic motility selection drives population segregation in a bacterial swarm | Wu, Yilin; Zuo, Wenlong | Ecological models usually take growth rate fitness as the essential driver of population dynamics. | Session 47: Physics of Microbiomes and Bacterial Communities |

808 | Continuum modeling of bacterial biofilm development | Fei, Chenyi; Alert, Ricard; Qin, Boyang; Bridges, Andrew; Bassler, Bonnie; Wingreen, Ned | To understand the role of mechanics in shaping the biofilm, we develop a multiphase continuum model of biofilm development. | Session 47: Physics of Microbiomes and Bacterial Communities |

809 | E. coli Bacteria near "Black Hole" | Phan, Trung; Morris, Ryan; Black, Matthew; Lin, Ke-Chih; Bos, Julia; Austin, Robert | In microfluidic environment, we create hydrodynamic horizon from which no E. coli bacteria can escape ("black hole") to study the collective behaviors of those organisms under the influence of such background, probing for their strategy to avoid potentially harmful region where part of the population disappears. | Session 47: Physics of Microbiomes and Bacterial Communities |

810 | Microbial communities governed by interplay of bacterial interaction and biofilm mechanics | Steinbach, Gabi; Siulung, Michael; Crisan, Cristian; Hammer, Brian; Yunker, Peter | Here, we show that mechanics and social interactions can be strongly interrelated and their combination can crucially impact biofilm formation and dynamics. | Session 47: Physics of Microbiomes and Bacterial Communities |

811 | The key differences in protein x-ray crystal and solution NMR structures | Treado, John; Mei, Zhe; Grigas, Alex; Levine, Zachary; Regan, Lynne; O’Hern, Corey | To address this important question, we compiled a dataset of paired high-resolution x-ray crystal structures and high-quality NMR structures to determine whether there are any systematic differences between the structures solved using the two experimental techniques. | Session 48: Physics of Protein Structure, Folding and Design |

812 | Decoy Detection of Computational Protein Designs | Grigas, Alex; Mei, Zhe; Treado, John; Levine, Zachary; Regan, Lynne; O’Hern, Corey | In this work, we apply this framework to the decoy detection problem and find that state-of-the-art protein predictions in the CASP11, 12 and 13 competitions often have core regions that are overpacked, due to overlapping residues. | Session 48: Physics of Protein Structure, Folding and Design |

813 | Low-Force Elasticity Reveals Complex Structure of an Intrinsically Disordered Protein | Truong, Hoang; Morgan, Ian; Saleh, Omar | Here, using a high-resolution single-molecule magnetic tweezer, we stretch a polypeptide construct derived from the neurofilament tail domains and study its conformations. | Session 48: Physics of Protein Structure, Folding and Design |

814 | ProSPr: Protein Structure Prediction via Interatomic Distances | Billings, Wendy; Hedelius, Bryce; Millecam, Todd; Wingate, David; Della Corte, Dennis | Here we present ProSPr, a network representing the first part of the AlphaFold pipeline for predicting interatomic distances, and demonstrate its abilities in the contact prediction task relative to other state-of-the-art methods. | Session 48: Physics of Protein Structure, Folding and Design |

815 | Landscapes, Nonlinearity, and Biomolecular Energy Redistribution | Elenewski, Justin; Velizhanin, Kirill; Zwolak, Michael | In this talk, I will discuss how topological features, nonlinearities, and energy landscape architecture can collude to define biomolecular heat propagation [1]. | Session 48: Physics of Protein Structure, Folding and Design |

816 | Understanding the native fluctuations of protein cores | Mei, Zhe; Treado, John; Levine, Zachary; Regan, Lynne; O’Hern, Corey | In this work, we carry out all-atom molecular dynamics simulations to study the fluctuating conformational dynamics of wildtype globular proteins, as well as mutants, in aqueous solvent at room temperature. | Session 48: Physics of Protein Structure, Folding and Design |

817 | Steric Equation of State for Monoclonal Antibodies from Low to High Concentrations | Shahfar, Hassan; Roberts, Christopher | Steric Equation of State for Monoclonal Antibodies from Low to High Concentrations | Session 48: Physics of Protein Structure, Folding and Design |

818 | Origins of Critical Phenomena in the Folding Phase Diagram of Proteins | Gasic, Andrei; Cheung, Margaret | Based on our theory, we show that the separation of T between the folding and collapse transition temperatures ( TF and T Θ, respectively) lead to a critical transition. | Session 48: Physics of Protein Structure, Folding and Design |

819 | Dissimilar ligands bind in a similar fashion: guiding the ligand binding mode prediction | Xu, Xianjin; Zou, Xiaoqin | In this study, a strategy was introduced for comparing the binding modes of ligands with different molecular structures for the first time. | Session 48: Physics of Protein Structure, Folding and Design |

820 | An escape rate analysis for pulling experiments based on energy landscapes in two reaction coordinates | Adhikari, Sudeep; Beach, Kevin | We present an analytical framework for the well escape rate in the context of an effective 2D landscape. | Session 48: Physics of Protein Structure, Folding and Design |

821 | Collective Behavior in Growth-Driven Systems | Meroz, Yasmine | Here we set the stage for the study of emergent growth-driven structures by developing a model for interacting growth-driven organs. | Session 49: Physics of Social Interactions |

822 | Collective Aggregation via Directed Pheromone Signaling in Honeybee Swarms | Nguyen, Dieu My; Iuzzolino, Michael; Mankel, Aaron; Peleg, Orit | Using honeybees as a model organism, we study the communication network of honeybee swarms that locate their queen by tracking her pheromones. | Session 49: Physics of Social Interactions |

823 | Social context alters behavioral interactions in bumblebees | McKenzie-Smith, Grace; Wang, Yan; Cho, Jean; Pereira, Talmo; Kocher, Sarah; Shaevitz, Joshua | In this study, we investigate how social context alters behavioral interactions among bumblebee ( Bombus impatiens) workers by probing the behavior of differently aged bees either alone or paired with another bee. | Session 49: Physics of Social Interactions |

824 | Brownian motion of fire ants hinders raft formation | Ko, Hungtang; Hu, David | In this study, we observe individual fire ants perform random walk on the water surface. | Session 49: Physics of Social Interactions |

825 | Behavioral plasticity in jackdaw flocks | Ouellette, Nicholas; Ling, Hangjian; McIvor, Guillam; Westley, Joseph; Van der Vaart, Kasper; Vaughan, Richard; Thornton, Alex | I will present evidence from field studies of jackdaws, a highly social corvid species, that indeed flocks of this single species display different interaction rules in different ecological contexts. | Session 49: Physics of Social Interactions |

826 | Shared behavioral mechanisms underlie C. elegans aggregation and swarming | Ding, Serena; Schumacher, Linus; Javer, Avelino; Endres, Robert; Brown, Andre | Here, we investigate collective feeding in the roundworm C. elegans at this intermediate scale, using quantitative phenotyping and agent-based modeling to identify behavioral rules underlying both aggregation and swarming—a dynamic phenotype only observed at longer timescales. | Session 49: Physics of Social Interactions |

827 | Predicting residential segregation using statistical physics approaches | Chen, Yuchao; Kinkhabwala, Yunus; Gaspard, Mallory; Hall, Matthew; Arias, Tomas; Cohen, Itai | We introduce a statistical physics based method to predict racial residential segregation in human populations. | Session 49: Physics of Social Interactions |

828 | Leader cells in collective chemotaxis: optimality and trade-offs | Hopkins, Austin; Camley, Brian | We use a simple mathematical model to find when specialization would be advantageous. | Session 49: Physics of Social Interactions |

829 | One fish, two fish, win fish, lose fish: Imaging and analyzing the fighting behavior of zebrafish in 3D | O’Shaughnessy, Liam; Izawa, Tatsuo; Masai, Ichiro; Shaevitz, Joshua; Stephens, Greg | We describe a custom tracking apparatus consisting of multiple fast cameras, a large imaging volume, and a transparent interior cage to avoid reflection artifacts. | Session 49: Physics of Social Interactions |

830 | A Foraging Approach to Analyzing Infant and Caregiver Vocal Behavior | Vallomparambath PanikkasserySu, Ritwika; M. Pretzer, Gina; Mendoza, Sara; Shedd, Christopher; T. Kello, Christopher; Gopinathan, Ajay; S. Warlaumont, Anne | Previous research on infant vocal development suggests that human infants and adult caregivers search for sounds that have social value. | Session 49: Physics of Social Interactions |

831 | The Superorganism’s Circulatory System: Collective control of development through a socially exchanged fluid | LeBoeuf, Adria | In carpenter ants, we’ve shown that components of trophallactic fluid can influence larval development, regulating the number of new adults produced. | Session 49: Physics of Social Interactions |

832 | A structured representation of odors in the fly mushroom body | Yang, Jie-Yoon; Hong, Elizabeth | We present a method using genetically enabled, in vivo two-photon functional imaging to measure near complete population representations of odors in KCs. | Session 50: Physics of the Brain: Structure and Dynamics |

833 | Inferring causality in highly-synchronized dynamics | Calderon, Josuan; Berman, Gordon | Causality methods provide a powerful tool for the characterization of these functional circuits by identifying directed functional interactions from time-series data. | Session 50: Physics of the Brain: Structure and Dynamics |

834 | Modularity allows classification of human brain networks during music and speech perception | Bonomo, Melia; Karmonik, Christof; Brandt, Anthony; Frazier, J | Here, we investigated a means to quantify individual differences in functional brain activity while subjects listened to a variety of auditory pieces. | Session 50: Physics of the Brain: Structure and Dynamics |

835 | Synchronization, waves and stochasticity in spatially structured neuronal networks | Ranft, Jonas; Kulkarni, Anirudh; Hakim, Vincent | In order to shed light on these data, we have revisited the synchronization properties of distinct oscillating local Excitatory-Inhibitory (E-I) modules induced by distance-dependent long-range excitation. | Session 50: Physics of the Brain: Structure and Dynamics |

836 | Searching for emergent long time scales without fine tuning | Chen, Xiaowen; Bialek, William | We will give a progress report on the more realistic, and challenging, case of asymmetric interactions. | Session 50: Physics of the Brain: Structure and Dynamics |

837 | Margin learning in spiking neural networks | Gütig, Robert | Recently, we have introduced the spike-threshold-surface to define a continuous distance between the responses of spiking neurons. | Session 50: Physics of the Brain: Structure and Dynamics |

838 | Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons | Sederberg, Audrey; Nemenman, Ilya | Modern recording methods enable sampling of thousands of neurons during the performance of behavioral tasks, raising the question of how recorded activity relates to theoretical models. | Session 50: Physics of the Brain: Structure and Dynamics |

839 | Impact of correlated connections in large recurrent networks with mesoscopic structure | Kuczala, Alexander; Sharpee, Tatyana | We address this deficiency by investigating the impact of correlations between forward and reverse connections, which may depend on the neuronal type. | Session 50: Physics of the Brain: Structure and Dynamics |

840 | Relationships Between Lognormal Distributions of Neural Properties and Connectivities | Robinson, Peter; gao, xiao; Han, Yinuo | Relationships Between Lognormal Distributions of Neural Properties and Connectivities | Session 50: Physics of the Brain: Structure and Dynamics |

841 | Directed effective connectivity of in vitro neuronal networks revealed from electrophysiological recordings | Sun, Chumin; Lin, K.C.; Huang, Yu-Ting,; Ching, Emily S.C.; Lai, Pik-Yin; Chan, C.K. | We present a method that makes explicit use of a theoretical result that effective connectivity is contained in the relation between time-lagged cross-covariance and equal-time cross-covariance. | Session 50: Physics of the Brain: Structure and Dynamics |

842 | A Quantitative Kinematic Movement Biomarker Characterizing Neurodevelopmental Disorders | Jose, Jorge | In this lecture I will describe the nature of experiments we carry out, the importance of fully filtering out the external electronic noise from neuronal noise. | Session 50: Physics of the Brain: Structure and Dynamics |

843 | Latent fields lead to emergence of scaling in simulated neurons | Morrell, Mia; Sederberg, Audrey; Nemenman, Ilya | We conducted simulations of conditionally independent binary neurons coupled to a small number of long-timescale stochastic fields with and without periodic spatial stimuli (depicting neural place cells) and replicated the coarse-graining shown in [1]. | Session 50: Physics of the Brain: Structure and Dynamics |

844 | Architectural Principles and Predictive Modeling of the Mammalian Connectome | Toroczkai, Zoltan; Molnar, Ferenc; Ribeiro Gomes, Ana-Rita; Ercsey-Ravasz, Maria; Knoblauch, Kenneth; Kennedy, Henry | We hypothesize the existence of network architectural organizational principles in the mammalian brain, critical for efficient and hierarchically modular information processing. | Session 50: Physics of the Brain: Structure and Dynamics |

845 | A 2D Stochastic Lattice Model Describing the Self-Assembly of Synaptic Membrane Protein Domains | Law, Everest | Inspired by the interactions between glycine receptors and gephyrin scaffolds, we present a stochastic lattice reaction-diffusion model explaining receptor domain formation. | Session 50: Physics of the Brain: Structure and Dynamics |

846 | Dynamics of the intrinsically disordered proteins and neurodegeneration | Cieplak, Marek | We demonstrate this picture explicitly by studying networks defined on the discretized plane: conformational end-to-end distances vs. radii of gyration. | Session 50: Physics of the Brain: Structure and Dynamics |

847 | Alpha rhythm shapes the correlation landscape of avalanche dynamics across resting wakefulness | Lombardi, Fabrizio; De Arcangelis, Lucilla; Herrmann, Hans; Shriki, Oren | In this talk I will show that, while the scale-free properties are universal and preserved across sleep and wake, avalanche dynamics is intimately connected to the dominant brain rhythm characterizing each of those physiologic states, and shows unique features in the resting awake state. | Session 50: Physics of the Brain: Structure and Dynamics |

848 | Non-perturbative renormalization group analysis of strongly-coupled spiking networks | Brinkman, Braden | Given a model of neural dynamics and their synaptic connections, we would in principle achieve this goal by calculating the statistical and response functions of the network—a notoriously intractable task for all but the simplest models. | Session 50: Physics of the Brain: Structure and Dynamics |

849 | Representation of nearby and infinitely far reference frames in the brain | Dhingra, Shonali; Shahi, Mina; Mehta, Mayank | Our work shows that hippocampal cells recognize space as a vector! | Session 50: Physics of the Brain: Structure and Dynamics |

850 | How behavioral and evolutionary constraints sculpt early visual processing | Palmer, Stephanie | We use techniques from statistical physics and information processing to assess how efficient, predictive vision emerges from these imperfect component parts. | Session 50: Physics of the Brain: Structure and Dynamics |

851 | Nanoparticle Structure and Dynamics in Polymer Nanocomposites | Hore, Michael | This talk will review recent work we have performed to study the behavior of nanoparticles in nanocomposite materials, with a focus on nanorods and nanospheres. | Session 51: Polymer Nanocomposites: Dynamics |

852 | Hybrid nanoparticles with continuously tunable scattering length density for the analysis of phase separation in mixed colloidal systems | Zhai, Yue; Han, Jin; Wu, Wenjie; Matyjaszewski, Krzysztof; Karim, Alamgir; Bockstaller, Michael | A method enabling the continuous variation of the scattering length density of nanoparticles will be presented and its application to the SANS analysis of phase separation in mixed brush particle systems will be demonstrated. | Session 51: Polymer Nanocomposites: Dynamics |

853 | Fast solvent induced switchable phase-states of binary polymer-grafted nanoparticle blends | Wu, Wenjie; Singh, Maninderjeet; Wang, Xiaoteng; Zhai, Yue; Wang, Zongyu; Terlier, Tanguy; Matyjaszewski, Krzysztof; Bockstaller, Michael; Karim, Alamgir | To this end, we developed a method to switch the state of phase-separated structures in a binary blend film of PGNPs, poly (methyl methacrylate) silica (PMMA-SiO 2) and poly(styrene) silica (PS-SiO 2), by using a direct solvent immersion annealing (DIA) method. | Session 51: Polymer Nanocomposites: Dynamics |

854 | PEO / SiO2 nanocomposites: Correlating Polymer Morphology to Rheological Properties | Chrissopoulou, Kiriaki; Kogchylakis, Sokratis; Anastasiadis, Spiros | In this work we report on the rheological behavior of a series of poly(ethylene oxide) / silica, PEO/SiO 2, nanocomposites through oscillatory shear rheology measurements. | Session 51: Polymer Nanocomposites: Dynamics |

855 | Decoupling the polymer dynamics and the nanoparticle network dynamics of polymer nanocomposites through dielectric spectroscopy and rheology | Cheng, Shiwang; Yang, jie; Yang, wei | Detailed analyses show that the rheology captures both the contributions of the polymer matrix and the nanoparticle network while dielectric measurements are only sensitive to polymer matrix dynamics. | Session 51: Polymer Nanocomposites: Dynamics |

856 | Segmental dynamics in matrix-free polymer grafted nanoparticles | Jhalaria, Mayank; Ruzicka, Eric; Tyagi, Madhusudan; Garcia-Sakai, Victoria; Benicewicz, Brian; Kumar, Sanat | We focus on the segmental and local dynamics of polymer chains using spatial and temporally sensitive probes with the view of identifying the primary dynamic driving force for penetrant transport in polymers. | Session 51: Polymer Nanocomposites: Dynamics |

857 | Modeling the Entanglement Distribution in Polymer-grafted Nanoparticle Systems | Tannenbaum, Robert; Mikami, Taiji; Maurel, Gaetan; Couty, Marc; Kumar, Sanat | A computational modeling technique was developed that utilizes slipsprings to model the mobility constraints that physical entanglements impose on individual polymer chains. | Session 51: Polymer Nanocomposites: Dynamics |

858 | Disentangling the role of chain conformation on the mechanics of polymer grafted nanoparticle materials | Midya, Jiarul; Cang, Yu; Egorov, Sergei; Matyjaszewski, Krzysztof; Bockstaller, Michael R.; Nikoubashman, Arash; Fytas, George | Disentangling the role of chain conformation on the mechanics of polymer grafted nanoparticle materials | Session 51: Polymer Nanocomposites: Dynamics |

859 | Suppression of Creep in Model Polymer Nanocomposites | Yang, Entao; Pressly, James; Bailey, Eric; Natarajan, Bharath; Mohan, Aruna; Winey, Karen; Riggleman, Robert | In this work, we use molecular dynamics simulation to investigate the PNC’s creep response with different NP sizes and polymer-nanoparticle interactions. | Session 51: Polymer Nanocomposites: Dynamics |

860 | Nanoparticles with controllable dispersion and localization in immiscible polymer blends | Alkhodairi, Husam; Russell, Sebastian; Pribyl, Julia; Benicewicz, Brian; Kumar, Sanat | Here, we will show that the location of polystyrene-grafted NPs within an immiscible blend of polymethyl methacrylate (PMMA)/polystyrene (PS) can be determined using σN 0.5, the brush crowding parameter, and, 1/α, which describes the entropic effects associated with a mismatch in brush/matrix polymer chain lengths. | Session 51: Polymer Nanocomposites: Dynamics |

861 | Polymer/Star-Polymer composites: structure and dynamics of bulk and confined materials | Fan, Jinpeng; Douglas, Jack; Starr, Francis | We investigate how both the number of arms and molecular weight affect the morphology of self-assembled structures in both a bulk polymer material and an ultra-thin polymer film. | Session 51: Polymer Nanocomposites: Dynamics |

862 | Tuning structure and dynamics of segmented ionenes with added spherical nanoparticles | Liesen, Nicholas; Hall, Lisa | Using efficient coarse-grained molecular dynamics simulations, we aim to establish architecture-structure-property relationships to guide synthetic efforts. | Session 51: Polymer Nanocomposites: Dynamics |

863 | Molecular Dynamics Study of Structural and Flow properties of Polyelectrolyte-Grafted Nanoparticles in Solution | Medidhi, Koteswararao; Akcora, Pinar; Padmanabhan, Venkat | Here, we investigate the structural and ow properties of polyelectrolyte grafted nanoparticles (PENP) in a solution using coarse-grained molecular dynamics simulations. | Session 51: Polymer Nanocomposites: Dynamics |

864 | Designing Polymer Nanocomposites: Critical Role of the Interfacial Layer | Sokolov, Alexei | At the end, we present a general picture how microscopic parameters control the interfacial layer, and how by tuning the interfacial layer we can tune macroscopic properties of polymer nanocomposites. | Session 52: Polymer Nanocomposites: Interfaces |

865 | Dynamics in polymer and polymer-grafted nanocomposites: it’s the interfacial zone after all | Mapesa, Emmanuel; Street, Dayton; Kilbey II, S. Michael; Sangoro, Joshua | By systematically examining nanocomposites based on non-functionalized Si NPs dispersed in PMMA matrices and on PMMA-grafted Si NPs in PMMA matrices, we investigate the effects of interfacial interactions and confinement in each of these cases on Tg and the time-scales as well as breadth of the corresponding dielectric relaxations. | Session 52: Polymer Nanocomposites: Interfaces |

866 | Theory of coupled activated relaxation in dense polymer-particle mixtures: effects of size ratio, particle loading and interfacial attraction | Zhou, Yuxing; Schweizer, Kenneth | Here we study the dynamics of polymer nanocomposites using the Elastically Collective Nonlinear Langevin Equation (ECNLE) theory with structural correlations obtained from Polymer Reference Interaction Site Model (PRISM) approach. | Session 52: Polymer Nanocomposites: Interfaces |

867 | The interfacial zone around nanoparticles in polymer nanocomposites and in thin polymer films | Zhang, Wengang; Emamy, Hamed; Pazmino Betancourt, Beatriz; Vargas-Lara, Fernando; Starr, Francis; Douglas, Jack | We perform coarse-grained simulations of polymer materials to quantify the range over which interfaces alter the structure and dynamics near the interface. | Session 52: Polymer Nanocomposites: Interfaces |

868 | Polymer NanoComposites, Interfaces and Data | Brinson, Catherine | In this work, both experimental characterization and development of a data framework and infrastructure is presented. | Session 52: Polymer Nanocomposites: Interfaces |

869 | Chemical Heterogeneities and Architectures of Interfacial Layers in Polymer Nanocomposites | Wu, Di; Yang, Siyang; Akcora, Pinar | We investigate the effect of chemical heterogeneities and varying chain architectures around nanoparticles on tuning the dynamics of interfacial polymers, hence the mechanical properties such as thermal-stiffening. | Session 52: Polymer Nanocomposites: Interfaces |

870 | Interfacial mechanics and viscoelastic properties of patchy graphene oxide reinforced nanocomposites | Meng, Zhaoxu | To address this issue at spatiotemporal scales beyond atomistic simulations, we employ recently developed coarse-grained models of GO sheet and polybutadiene to model patchy GO sheets and a representative GO/polybutadiene nanocomposite with GO sheets serving as fillers. | Session 52: Polymer Nanocomposites: Interfaces |

871 | Theory and Simulation of Polymer Brushes – Interaction and Structure | Adhikari, Sabin; Kumar, Sanat | In this study, we focus on the fundamental aspects of the interactions and structure of polymer brushes in either a poor solvent (i.e., incorporating compressibility effects in the brush) or in a (compressible) polymer-matrix. | Session 52: Polymer Nanocomposites: Interfaces |

872 | Aggregation of Grafted Nanoparticles in a Polymeric Matrix | Koh, Clement; Grest, Gary; Kumar, Sanat | Aggregation of Grafted Nanoparticles in a Polymeric Matrix | Session 52: Polymer Nanocomposites: Interfaces |

873 | Surface Segregation and Wetting of Nanoparticles in Polymer Nanocomposites | Maguire, Shawn; Demaree, John Derek; Bilchak, Connor; Krook, Nadia; Boyle, Michael; Pana, Andreea-Maria; Rannou, Patrice; Maréchal, Manuel; Ohno, Kohji; Composto, Russell | Studies are performed above and below the critical point of this LCST system to decouple the thermodynamic and interfacial energy contributions. | Session 52: Polymer Nanocomposites: Interfaces |

874 | Initial Solvent-Driven Nonequilibrium Effect on the Adsorption Layer of Polymer Nanocomposites | Oh, Sol Mi; Abbasi, Mozhdeh; Shin, Tae Joo; Saalwaechter, Kay; Kim, So Youn | In this work, we report that the initial dispersing solvent, which is not present in final PNCs, induces nonequilibrium effects on polymer chain dynamics at interfaces. | Session 52: Polymer Nanocomposites: Interfaces |

875 | Silicone-Iron Oxide Nanocomposite Encapsulants for Common Mode Noise Reduction in Switching Power Electronics | Carlton, Hayden; Whitt, Reece; Deshpande, Amol; Myane, Sarah; Akey, Noah; Huitink, David | In the study presented herein, iron oxide nanoparticles were incorporated into a silicone rubber matrix to create an electomagnetically-susceptible nanocomposite in an effort to reduce common mode noise. | Session 53: Polymer Nanocomposites: Structure and Property |

876 | Flexible Textured Nanocomposite for Energy Harvesting Applications | Ghai, Viney; Singh, Harpreet; Agnihotri, Prabhat | The present study provides a method for designing and fabricating a multifunctional flexible absorber (flexorb) that can be used as a coating material for ultra-high absorption applications. | Session 53: Polymer Nanocomposites: Structure and Property |

877 | Nanoparticle Assembly Modulated by Biobased Polymers and Its Coating Application | Olson, Emily; Li, Yifan; Lin, Fang-Yi; Miller, Ana; Liu, Fei; Tsyrenova, Ayuna; Curtzwiler, Greg; Vorst, Keith; Cochran, Eric; Jiang, Shan | We study how nanoparticles assemble in a dried film containing biobased polymers. | Session 53: Polymer Nanocomposites: Structure and Property |

878 | Coarse-grained molecular dynamics simulations on mechanical properties of polymer composites for bulk heterojunction solar cells | Yoshimoto, Yuta; Sugiyama, Sou; Kaneko, Toshihiro; Takagi, Shu; Kinefuchi, Ikuya | We investigate mechanical properties of polymer composites of poly(3-hexylthiophene) (P3HT) and fullerene C 60 using coarse-grained molecular dynamics (CGMD) simulations, where the P3HT monomer unit and C 60 are represented by three CG beads and a single CG bead. | Session 53: Polymer Nanocomposites: Structure and Property |

879 | Nanoparticle Templating of Ultrathin and High Density 6 nm Pore Arrays | Jackson, Grayson; Lin, Xiao-Min; Jaeger, Heinrich | We demonstrate an alignment-free method to transform freely suspended nanoparticle (NP) monolayer sheets into mechanically robust, high density 6 nm pore arrays using electron beam irradiation and subsequent wet chemical etching. | Session 53: Polymer Nanocomposites: Structure and Property |

880 | Gas Transport of Self-assembled Polymer Nanocomposites with Binary Nanoparticle Size | Chan, Sophia; Jhalaria, Mayank; Jimenez, Andrew; Russell, Sebastian; Benicewicz, Brian; Kumar, Sanat | We present the self-assembled morphologies and measured gas transport properties of these polymer nanocomposites with binary core sizes. | Session 53: Polymer Nanocomposites: Structure and Property |

881 | Polymer Composites of Two-Dimensional Layered Materials for Structural Applications | Ozden, Sehmus; Dutta, Nikita S.; Randazzo, Katelyn; Arnold, Craig; Priestley, Rodney | Here, we report the development of highly porous, ultralight-weight and flexible polymer composite of 2D-layered structures for high temperature environmental applications. | Session 53: Polymer Nanocomposites: Structure and Property |

882 | Mesostructured Metal Superconductors via Block Copolymer Nanocomposites: Quantum Metamaterials from Soft Matter | Thedford, Randal; Gruner, Sol; Wiesner, Ulrich | Future work will investigate emergent phenomena such as angle-dependent magnetization behavior, and expansion of our technique to other metals could lead to novel photonic, electronic, and/or catalytic properties. | Session 53: Polymer Nanocomposites: Structure and Property |

883 | Experiments and Simulations of Nanoplate String Assembly in Lamellar Diblock Copolymer | Composto, Russell; krook, nadia; Tabedzki, Christian; Yager, Kevin; Elbert, Katherine; Murray, Christopher; Riggleman, Robert | These assemblies are studied using X-ray scattering, electron microscopy, and hybrid particle/self-consistent field theory (hSCFT) simulations. | Session 53: Polymer Nanocomposites: Structure and Property |

884 | Molecular engineering of graft and matrix polymers for tuning grafted particle dispersion in polymer nanocomposites: A theory and simulation study | Kulshreshtha, Arjita; Jayaraman, Arthi | In this talk we present our work using molecular simulations and theory showing how increasingly attractive graft-matrix interactions affect the interpenetration of matrix and graft chains (termed as grafted layer wetting) and the dispersion/aggregation of grafted particles in the matrix. | Session 53: Polymer Nanocomposites: Structure and Property |

885 | Polymer grafted nanoparticles on Polymer Films: Entropic and Enthalpic effects on strcture and dynamics | Basu, Jaydeep; Anthuparambil, Nimmi Das; Swain, Aparna | Here we report thermal stability and the corresponding microscopic dynamics of polymer supported ultra-thin membranes comprising of self-assembled, ordered grains of polymer grafted nanoparticles having tunable mechanical properties. | Session 53: Polymer Nanocomposites: Structure and Property |

886 | Gradient-Based Explicit Theoretical Framework for Simulation of Block Copolymer-Nanoparticle Co-assembly | Bochkov, Daniil; Gibou, Frederic | In this talk, we present a novel theoretical framework for the simulation of the block copolymer-nanoparticle co-assembly. | Session 53: Polymer Nanocomposites: Structure and Property |

887 | Relating Entanglements and Toughness in Model Polymer-Grafted Nanoparticles | Hall, Lisa | To guide materials design, we use coarse-grained molecular dynamics (MD) simulations to relate these parameters to structure, entanglements, and mechanical properties. | Session 53: Polymer Nanocomposites: Structure and Property |

888 | Formation of Pickering Emulsions Using Nanodiamonds | Farias, Barbara; Brown, Derek; Hearn, Allison; Khan, Saad | We examine here the use of nanodiamonds (ND), a relatively novel carbonaceous filler with high adsorption activity, small size, and large surface area to create solid stabilized emulsions. | Session 54: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

889 | Utilizing Inorganic Nanoadditives to Influence the Surface Properties of Polymer Films | Anastasiadis, Spiros; Krasanakis, Fanourios; Theodorakis, Antigonos; Chrissopoulou, Kiriaki | In this work, we report on the development of superhydrophobic and water repellent polymer coatings by utilizing nanoadditives of different geometries and size. | Session 54: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

890 | Interfacial Dynamics of Confined Microgel Liquids on Soft Surfaces | Lin, Kehua; Zhu, Yingxi Elaine | In this work, we employed poly(N-isopropylacrylamide) (PNIPAM) microgels of varied crosslinking density as the confined liquids as well as confining surface coatings. | Session 54: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

891 | How osmotic pressure governs sliding and surface structures of swollen crosslinked hydrogels | Bonyadi, Shabnam; Johnson, Christopher; Kim, Jiho; Reale, Erik; Atten, Michael; Dunn, Alison | Here I present two vignettes of the role of osmotic pressure in understanding hydrogel lubrication. | Session 54: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

892 | Bio-inspired surface modification of PDMS to reduce dry friction | Wang, Mengyuan; Ghosh, Sujan; Blevins, Adrienne; Stafford, Christopher; Kilgore, Jason; Huang, Sijia; Zou, Min; Ding, Yifu | This study aims to mimic such functional skins by modifying both the stiffness and topography of the elastomeric surfaces. | Session 54: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

893 | Friction and wear of polyzwitterionic brush-grafted surfaces | Serfass, Christopher; Roe, Emily; Hsiao, Lilian | Inspired by the hydrophilic biomacromolecules adsorbed to the surface of articular cartilage, we investigate the tribology of betainized poly(2-(dimethylamino)ethyl methacrylate) (PDMAEMA) brushes grafted on soft poly(dimethyl siloxane) (PDMS) and hard silicon substrates. | Session 54: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

894 | Surface Forces Apparatus Measurements Between Oppositely Charged Polyelectrolyte Brushes as a Function of Ionic Strength | Mastropietro, Dean; Tirrell, Matthew | Surface Forces Apparatus Measurements Between Oppositely Charged Polyelectrolyte Brushes as a Function of Ionic Strength | Session 54: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

895 | Tribology of soft colloidal microgels: An oral perspective | Sarkar, Anwesha | A case study 4 will be presented on how these microgels can act as viscosity modifiers of the continuum, where the lubrication performance can be quantitatively described using the Newtonian plateau value ( η ∞). | Session 54: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

896 | Pore-size dependence and glassy behavior of hydrogel friction on smooth surfaces | Cuccia, Nicholas; Pothineni, Suraj; Wu, Brady; Burton, Justin | Using a custom-built, continuous pin-on-disc tribometer, here we identify three distinct regimes of frictional behavior for both polyacrylamide (PAAm) and agarose hydrogel spheres on smooth surfaces. | Session 54: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

897 | Study of the tribological behavior of hydrogel-like materials with an extended Surface Forces Apparatus | Espinosa-Marzal, Rosa; Shoaib, Tooba | In this talk, we will present steady and dynamic shear measurements with an extended surface forces apparatus (eSFA) on hydrogel thin films under modulated compression. | Session 54: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

898 | Indentation of a microparticle into an oil-coated, soft silicone surface | Glover, Justin; Pham, Jonathan | A simple model that balances the capillary force of the oil layer with the elastic force from the substrate is proposed to predict the position of the particle. | Session 54: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

899 | Immune repertoire dynamics out of steady state | Gaimann, Mario; Desponds, Jonathan; Mayer, Andreas | Here, we show how such long tails can emerge out of steady state from a simple neutral model for immune repertoire formation. | Session 55: Population Dynamics in Antibiotics and Time-Varying Environments |

900 | The role of drug kinetics on the evolution of resistance. | Nande, Anjalika; Nowak, Martin; Hill, Alison | We find that there exists an initial time-frame after treatment initiation that has the most influence on the establishment probability of the drug resistant strain. | Session 55: Population Dynamics in Antibiotics and Time-Varying Environments |

901 | The Dynamics of Human Society Evolution: An Energetics Approach | Poudel, Ram; McGowan, Jon | In this paper, we will demonstrate that Lotka-Volterra type equations can be derived from the Hamiltonian equation in the social field. | Session 55: Population Dynamics in Antibiotics and Time-Varying Environments |

902 | Understanding the Dynamics of Antibiotic Resistance in Microbial Communities using Tensor Methods | De Jong, Max; Wood, Kevin | We develop several methods to deconstruct this tensor into quantities that allow us to gain insight into the evolutionary dynamics of the system as it reaches fixation. | Session 55: Population Dynamics in Antibiotics and Time-Varying Environments |

903 | Evolving generalists in optimal cycling environments | Wang, Shenshen | Using a generative approach, we find that switching between environments neither too similar nor too different can efficiently evolve fit generalists, via dynamically enlarging their attractor basins in sequence space. | Session 55: Population Dynamics in Antibiotics and Time-Varying Environments |

904 | Search strategies that find generalists in time varying environments | Kutasov, Jonathan; Husain, Kabir; Wang, Shenshen; Murugan, Arvind | We find that a class of biased random walks that we call `directed’ are naturally driven towards generalists by time varying environments at intermediate timescales; this class includes classic E. coli chemotaxis with run times modulated by food availability and constant tumble times. | Session 55: Population Dynamics in Antibiotics and Time-Varying Environments |

905 | Time-Dependent Effective Sampling Bias in Populations with Broad Offspring Numbers | Okada, Takashi; Hallatschek, Oskar | Here, we establish a number of new scaling relations about the fixation probability, the extinction time and the site frequency spectrum that arise when offspring numbers are distributed according to a power law with divergent variance. | Session 55: Population Dynamics in Antibiotics and Time-Varying Environments |

906 | Using environmental noise to hedge one’s evolutionary bets | Xue, BingKan; Sartori, Pablo; Leibler, Stanislas | We show that, even when the signal is extremely noisy and uninformative of the true environment, the organism can still benefit from the signal by using it as a source of randomness for bet-hedging. | Session 55: Population Dynamics in Antibiotics and Time-Varying Environments |

907 | Clocks, Anticipation, and Growth in Bacteria | Monti, Michele; Ten Wolde, Pieter; Lubensky, David | Here, we use mathematical modeling to address this question for nitrogen-fixing cyanobacteria.1 By extending recent work on growth laws in E. coli,2 we show that it is difficult to change the composition of the proteome when the growth rate is small, and thus that the average growth rate can be increased by using a clock to anticipate the onset of darkness by switching to a dark-adapted proteome late in the day, when growth rates are still large.1 M. Monti, D.K. Lubensky, and P.R. ten Wolde, arXiv:1805.04538. | Session 55: Population Dynamics in Antibiotics and Time-Varying Environments |

908 | Minimal model reveals key features of vaccination protocols that optimally elicit broadly neutralizing antibodies | Ganti, Raman; Kardar, Mehran; Chakraborty, Arup | Minimal model reveals key features of vaccination protocols that optimally elicit broadly neutralizing antibodies | Session 55: Population Dynamics in Antibiotics and Time-Varying Environments |

909 | Predicting antibiotic resistance evolution | Pinheiro, Fernanda; Warsi, Omar; Andersson, Dan; Lässig, Michael | Here we develop a fitness model that predicts dosage-dependent growth rates of common resistance mutations. | Session 55: Population Dynamics in Antibiotics and Time-Varying Environments |

910 | Mechanical Metamaterials You Can Count On | Munck, Mathis; Bense, Hadrien; Van Hecke, Martin | Here we present a class of structures whose state depends on a sequence of identical input cycli: these metamaterials count. | Session 56: Programmable Matter |

911 | Multifunctional Combinatorial Metamaterials | Coulais, Corentin | We introduce a novel class of combinatorial metamaterials that are multifunctional. | Session 56: Programmable Matter |

912 | A truly-programmable mechanical metamaterial using magnetic actuation | Chen, Tian; Pauly, Mark; Reis, Pedro | Here, we show a truly-programmable metamaterial where both the periodicity and the internal structure are preserved during fabrication but each unit cell can be independently programmed and reprogrammed, reversely and on-demand. | Session 56: Programmable Matter |

913 | One Dimensional Mechanical Memory | Reid, Austin; Daniels, Karen; Jules, Théo; Lechenault, Frederic; Mungan, Muhittin | We have developed laser-cut and folded cylinders where adjacent unit cells can either be elastically connected or completely decoupled. | Session 56: Programmable Matter |

914 | Muscle-inspired flexible mechanical logic architecture for miniature robotics | Agrawal, Mayank; Glotzer, Sharon | Here we demonstrate such an architecture, which computes combinatorial logic via mechanical gates that use linear actuation (expansion and contraction). | Session 56: Programmable Matter |

915 | Active stabilisation of patterned robotic swarms | Popli, Pankaj; Perlekar, Prasad; Sengupta, Surajit | We propose an algorithm where one can achieve this is an energy efficient way. | Session 56: Programmable Matter |

916 | Assembly by Solvent Evaporation: Equillibrium Clusters and Relaxation Times | Macias, Elizabeth; Travesset, Alex; Waltmann, Thomas | We present a theoretical and computational description of equillibrium clusters of alkylthiolated gold nanocrystals assembled by solvent evaporation. | Session 56: Programmable Matter |

917 | Reprogrammable phononic metasurfaces | Bilal, Osama | Here, we present a reporgrammable metamterial platform for manipulating phonons utilizing all the aforementioned wave manipulation mechanisms [Foehr and Bilal et al.,PRL, 2018]. | Session 56: Programmable Matter |

918 | Synthetic Mechanoreceptors with Collocated Logic | Udani, Janav; Arrieta, Andres | We present a new class of synthetic mechanoreceptor exhibiting large changes in conductivity as a function of their shape. | Session 56: Programmable Matter |

919 | Sending Signals Through Mechanical Wiring | Berry, Michelle; Hayward, Ryan; Santangelo, Christian | We consider a mechanical “wire”, a series of bistable units that interact with each other, as a way to connect the output of one logic gate to the input of another logic gate. | Session 56: Programmable Matter |

920 | Training for desired Folding Pathways in Self Folding Origami | Arinze, Chukwunonso; Stern, Menachem; Nagel, Sidney; Murugan, Arvind | In this way, we find that physical folding, combined with a plasticity rule for crease stiffness, can naturally arrive at design parameters needed for non-linear behaviors that are hard to predict otherwise. | Session 56: Programmable Matter |

921 | Computational wrapping: A novel method for wrapping 3D-curved surfaces with brittle, nonstretchable materials for conformable devices | Lee, Yu-Ki; Lien, Jyh-Ming; Choi, In-Suk | In this talk, we propose a novel method to make conformable devices on non-zero Gaussian surfaces, i.e. flexible devices that can be transformed into any complex 3-dimensional shape. | Session 56: Programmable Matter |

922 | How to weave a perfect sphere with curved strips | Baek, Changyeob; Martin, Alison; Chen, Tian; Poincloux, Samuel; Ren, Yingying; Panetta, Julian; Pauly, Mark; Reis, Pedro | Taking an alternative point of departure, we introduce a novel approach for triaxial weaving that enables us to continuously span a variety of 3D shapes of the weave by tuning the natural in-plane curvature of the strips. | Session 56: Programmable Matter |

923 | Quantum Biology: From Theoretical Principles to Methods of Verification | Plenio, Martin | In this talk I will present key aspects of these three lines of development. | Session 57: Quantum Biology: Beyond Photosynthesis |

924 | New horizons in quantum biology: Plasmon, exciton, and phonon correlations in complex biomolecular systems | Kurian, Philip | New horizons in quantum biology: Plasmon, exciton, and phonon correlations in complex biomolecular systems | Session 57: Quantum Biology: Beyond Photosynthesis |

925 | The electron’s spin and chirality, the source for quantum effects in biology | Naaman, Ron | We found that chiral organic molecules can act as spin filters in electron transfer. | Session 57: Quantum Biology: Beyond Photosynthesis |

926 | Proton and electron tunneling effects in enzymes | Offenbacher, Adam | Proton and electron tunneling effects in enzymes | Session 57: Quantum Biology: Beyond Photosynthesis |

927 | Quantum-Based magnetic sensing: How can birds detect 10 nT magnetic fields? | Ritz, Thorsten | We will present a roadmap of key steps that will ultimately enable us to prove or disprove the now nearly twenty year old suggestion that cryptochromes may be the magnetoreceptor molecule and the even older suggestion of a radical-pair mechanism underlying magnetic sensing. | Session 57: Quantum Biology: Beyond Photosynthesis |

928 | Molecular Simulations of Poly[n]catenane Dynamics and Rheology | Rauscher, Phillip; Schweizer, Kenneth; Rowan, Stuart; De Pablo, Juan | We observe unusual monomer diffusion and present a Rouse-like model that can qualitatively explain the results. | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

929 | Graft Polymers and Entanglements: From Linear Chains to Filaments | Dobrynin, Andrey; Liang, Heyi; Grest, Gary | Graft Polymers and Entanglements: From Linear Chains to Filaments | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

930 | Effect of Head-to-Head Association/Dissociation on Relaxation of Entangled Chains | Watanabe, Hiroshi; Matsumiya, Yumi; Kwon, Youngdon | Effect of Head-to-Head Association/Dissociation on Relaxation of Entangled Chains | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

931 | Unified analytic expressions for the entanglement length, tube diameter, and plateau modulus in polymer melts | Hoy, Robert; Kröger, Martin | By postulating that the contributions to the dimensionless plateau modulus from flexible-, semiflexible-, and stiff-chain entanglement mechanisms combine additively (in parallel), and testing this postulate with molecular dynamics simulations and topological analyses of Kremer-Grest bead-spring polymer melts, we obtain analytic expressions that quantitatively predict the plateau modulus G, the entanglement length N e, and the tube diameter a in melts that span three orders of magnitude in l K /p, where l K and p are respectively the Kuhn and packing lengths. | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

932 | The Source of Strain Hardening in Glassy Polymers Investigated by Molecular Dynamics and Brownian Dynamics Simulations | Larson, Ronald; Hoy, Robert; Moghadam, Soroush; Zou, Weizhong | Using both fine-grained Molecular Dynamics (MD) simulations and coarse-grained simulations we show how strain hardening in polymeric glasses under uniaxial extension arises from highly stretched strands that form as the polymer chains deform subaffinely on increasing length scales as strain increases. | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

933 | Predicting time-temperature-superposition breakdown near the glass transition with the Heterogeneous Rouse Model | Simmons, David | Here, we report on predictions of TTS breakdown by the Heterogeneous Rouse Model, which generalizes the Rouse model to incorporate dynamic heterogeneity – the emergence of a distribution of segmental relaxation times at low temperature. | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

934 | Relationship Between Large Amplitude Oscillatory Strain (LAOS) Experiments and Commercial Pressure Sensitive Adhesives Applications Testing | Nakatani, Alan; Zhang, Sipei; Ozair, Sehban; Peera, Asghar; Young, Owen; Manning, Kylie; Pearson, Cachae; Ray, Himal | Historically, analytical test methods on pressure sensitive adhesives (PSA’s) have shown poor correlation to applications test results. | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

935 | Polymer rheology predictions from first-principles using the slip-link model | Becerra, Diego; Cordoba, Andres; Katzarova, Maria; Andreev, Marat; Venerus, David; Schieber, Jay | Nonetheless, the work demonstrates that theory predictions without adjustable parameters should be possible. | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

936 | A priori Determination of the Extensional Viscosity of Polydisperse Linear Polymer Melts | Dorgan, John; Szfranski, John | The algorithm captures molecular details of extensional flow in three dimensions for entangled polymer melts of arbitrary molecular weight distribution across multiple flow regimes from the correct low deformation limit, through the strain-hardening regime, to the high deformation rate strain softening region. | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

937 | Thinning and break up of freestanding polymer solutions | Vermant, Jan; Chatzigiannakis, Emmanouil | We have studied the thinning dynamics of concentrated polymer-solutions liquid films experimentally using a modified thin film balance technique. | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

938 | Uniaxial Extensional Rheology of Associating Polymers: from Processing to Performance | Hinton, Zachary; Alvarez, Nicolas | In this work, we use filament stretching uniaxial extension to probe the processing window of strongly associating polymers. | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

939 | Liquid to soft solid transition in block polymers via low strength magnetic fields | Suresh, Karthika; Calabrese, Michelle | Here, we identify substantial field-induced rheological and structural changes in several coil-coil BCP variants using magneto-rheology and small-angle neutron scattering (SANS). | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

940 | Multiscale simulation of a well-entangled polymer melt flow in between two coaxial cylinders under non-isothermal condition | Hamada, Yuji; Sato, Takeshi; Taniguchi, Takashi | It is also found that the temperature-dependent reptation-time-based Weissenberg number is a suitable measure to understand how extent polymer chains are deformed in a range of the shear rate used in this study. | Session 58: Rheology and Dynamics of Polymer Liquids and Glasses |

941 | Polyelectrolyte solutions in complex macro- and micro-scale flows | Metaxas, Athena; Panwar, Vishal; Dutcher, Cari | In this study, a cationic polyacrylamide was used to modify the elasticity of the solution, and with varying concentrations of NaCl to alter the ionic strength of the solution. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

942 | Measuring packing length in simulations for different polymer architectures | Bobbili, Sai Vineeth; Milner, Scott | In this work, we measure the packing length, as the typical distance of closest approach of two polymer strands in a simulated bead-spring melt. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

943 | Influence of Sodium Salts on the Swelling and Rheology of Hydrophobically Crosslinked Hydrogels Determined by QCM-D | Vogt, Bryan; Zhang, Mengxue; Douglas, Jack | Here, we investigate model hydrogels with three different sodium salts with anions chosen from the classic Hofmeister series to determine how these counterions influence the swelling and mechanical properties of neutral hydrogels. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

944 | Effects of humidity on the rheology of supramolecular organogels | Vlassopoulos, Dimitris; Vereroudakis, Emmanouil | Specifically, we investigate the properties of biphenyl tricarboxamides (BPTA) in dodecane which exhibit structural transitions with varying temperature. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

945 | Rheology of Jammed Silicone Microgels | Duraivel, Senthilkumar; Angelini, Thomas | In this presentation, we will describe our investigations of polydimethylsiloxane (PDMS) microgels. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

946 | Predicting the plateau modulus from molecular parameters of conjugated polymers | Fenton, Abigail; Colby, Ralph; Gomez, Enrique | Using small angle neutron scattering (SANS), static light scattering (SLS), and oscillatory shear rheology along with the freely rotating chain model we have shown that nine non-crystalline conjugated polymers and three aromatic polymers not only populate a large part of this gap, but that they follow the proposed relationship between b, p, and GN° as well. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

947 | Accessing Viscoelasticity of PDMS at MHz Frequencies: Physically Intuitive Continuum Mechanics Model for QCM Able to Treat Film Resonance Region | Gagnon, Yannic; Burton, Justin; Roth, Connie | We present a physically intuitive continuum mechanics model with no small frequency-shift approximations that can numerically treat film resonance, accessing a wider range of film thicknesses. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

948 | Viscoelastic properties of tightly entangled polymeric systems | Inoue, Tadashi | In this talk, by combining simultenous mesurement of strain-induced birefringence, the mode separation of orientation, bending, and tension is carried out on on the linear viscoelasticity of the model materials, and the contribution of each mode is quantitatively discussed. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

949 | Microphase Separation in Entangled Polymeric Solutions in Extensional Flows | Nafar Sefiddashti, Mohammad Hadi; Edwards, Brian; Khomami, Bamin | To address these questions, we performed a series of NEMD simulations for entangled C 1000H 2002 polyethylene solutions in oligomeric C 16H 32 and benzene solvents. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

950 | Predicting the Microstructure of Bottlebrush Copolymers | Tabedzki, Christian; Riggleman, Robert | In this talk, we present a field-theoretic model for the structure of bottlebrush copolymers. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

951 | Interactions between two knots in a stretched DNA molecule | Klotz, Alexander; Soh, Beatrice; Doyle, Patrick | We use microfluidic devices to stretch viral genomic DNA molecules in an elongational electric field, and observe the molecules using fluorescence microscopy. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

952 | Diffusion of knots in DNA molecules confined in nanochannels | Ma, Zixue; Dorfman, Kevin | We present experimental data on the diffusion of knots in single DNA molecules via a combination of a nanofluidic "knot factory" device and fluorescence microscopy. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

953 | Dynamics of DNA-bridged particle dumbbells in well-entangled, shear-banding polymer solutions under large amplitude oscillatory shear (LAOS) | Shin, Seunghwan; Dorfman, Kevin; Cheng, Xiang | To elucidate the microscopic dynamics of entangled chains in shear-banding flows, we study the dynamics of DNA-bridged particle dumbbells in the shear-banding flow of well-entangled double-stranded DNA (dsDNA) solutions under LAOS using a rheo-confocal shear cell. | Session 59: Rheology and Dynamics of Polymers and Polyelectrolytes |

954 | TBD | Kodio, Ousmane | TBD | Session 60: Shell Buckling |

955 | Postbuckling analysis of hyperelastic thick tube | Zhou, Yu; Chen, Yuzhen; Jin, Lihua | We will briefly introduce the asymptotic expansion method for buckling and weakly postbuckling of elastic bodies and apply this theory to thick tubes. | Session 60: Shell Buckling |

956 | Buckling in thin thermalized ribbons under longitudinal compression | Hanakata, Paul; Plummer, Abigail; Shankar, Suraj; Nelson, David | We develop a mean field approach to understand how the critical buckling changes due to thermal fluctuations both above and below the buckling transition. | Session 60: Shell Buckling |

957 | Poking and buckling of pressurized spherical shells | Abbasi, Arefeh; Yan, Dong; Pezzulla, Matteo; Reis, Pedro | Recently, a non-destructive technique has been proposed and successfully applied to cylindrical shells [1,2], to access their landscape of stability using a probing force. | Session 60: Shell Buckling |

958 | Multi-component assembly of microcompartments | Li, Siyu; Li, Yaohua; Nichols, Taylor; Kennedy, Nolan; Tullman-Ercek, Danielle; Olvera De La Cruz, Monica | Using all-atom and coarse-grained molecular dynamics, we study the mechanical properties of protein subunits and the assembly process. | Session 60: Shell Buckling |

959 | Shallowness effect on buckling of spherical shells | Ki, Kanghyun; Lee, Jeongrak; Lee, Anna | We study the buckling of clamped spherical caps under uniform pressure. | Session 60: Shell Buckling |

960 | Circumferential Buckling of the Confined D-cone | Stein-Montalvo, Lucia; Almeida, Kanani; Holmes, Douglas | We observe that in-plane confinement forces the classical packed d-cone to deviate from its characteristic form. | Session 60: Shell Buckling |

961 | Investigating imperfection-sensitivity in shell buckling using a toy model | Groh, Rainer; Pirrera, Alberto | Using a toy model of a link system on a softening elastic foundation, we show that the spatial multiplicity of localisations leads to a large spread in buckling loads, even for indistinguishable random imperfections of the same amplitude. | Session 60: Shell Buckling |

962 | Newton’s method for experimental path-following of nonlinear structures | Shen, Jiajia; Groh, Rainer; Neville, Robin; Schenk, Mark; Pirrera, Alberto | To extend the capabilities of nonlinear testing methods, we have implemented an experimental analogue to numerical path-following. | Session 60: Shell Buckling |

963 | Poking imperfect shells to non-destructively predict their buckling loads: success rate and perspectives | Virot, Emmanuel; Abramian, Anais; Lozano, Emilio; Schneider, Tobias; Rubinstein, Shmuel | Here we measure the response of (imperfect) soda cans to lateral poking and identify a generic stability landscape, which fully characterizes the stability of real imperfect shells in the case where one single defect dominates. | Session 60: Shell Buckling |

964 | Canned Wisdom: Probing a Cylindrical Shell’s Memory of Cyclic Loading | Cuccia, Nicholas; Virot, Emmanuel; Brenner, Michael; Rubinstein, Shmuel | Here, we explore the effects of cyclic loading on the stability of cylindrical shells with many small unknown defects (empty soda-cans). | Session 60: Shell Buckling |

965 | Snap-through instability of short and long hyperelastic tubes under inflation | Lee, Jinwoo; Kim, Seonghyeon; Lee, Anna | We study the bulging behavior of thin cylindrical balloons with various aspect ratios under internal pressure loading. | Session 60: Shell Buckling |

966 | Beyond Backprop: Different Approaches to Credit Assignment in Neural Nets | Rish, Irina | The main contribution of our work is a novel online (stochastic/mini-batch) alternating minimization (AM) approach for training deep neural networks, together with the first theoretical convergence guarantees for AM in stochastic settings and promising empirical results on a variety of architectures and datasets. | Session 61: Statistical Physics Meet Machine Learning |

967 | Self-tuned annealing in deep learning: How neural networks find generalizable solutions | Tu, Yuhai | To explain this inverse variance-flatness relation, we develop a random landscape theory of SGD, which shows that noise strength (effective temperature) in SGD depends inversely on the landscape flatness and thus SGD serves effectively as a self-tuned (landscape-dependent) annealing mechanism to find the generalizable solutions at the flat minima of the loss landscape. | Session 61: Statistical Physics Meet Machine Learning |

968 | A nonlinear and statistical physics approach to machine learning electronic hardware | Lathrop, Daniel; Shaughnessy, Liam; Hunt, Brian; Komkov, Heidi; Restelli, Alessandro | We present research developing novel machine learning hardware that relies on a large network of nonlinear electronic nodes to instantiate a reservoir computer. | Session 62: Statistical Physics Meets Machine Learning |

969 | Reservoir Computer Optimization for Parity Checking | Barbosa, Wendson; Ribeill, Guilhem; Nguyen, Minh-Hai; Ohki, Thomas; Rowlands, Graham; Gauthier, Daniel | We shall discuss the reservoir computer hyper-parameters optimization and exploration of different architectures for inputting data to the reservoir to improve the parity classification performance as well as paths toward high-speed hardware implementation. | Session 62: Statistical Physics Meets Machine Learning |

970 | Using Machine Learning to Infer Composition of Complex Chemical Mixtures | Javed, Unab; Ramaiyan, Kannan; Kreller, Cortney; Brosha, Eric; Mukundan, Rangachary; Morozov, Alexandre | We have developed a Bayesian algorithm which, given a set of readings from the array, identifies and quantifies all gases present in the system. | Session 62: Statistical Physics Meets Machine Learning |

971 | Deep generative spin-glass models with normalizing flows | Mohseni, Masoud; Hartnett, Gavin | We explore two alternative methods for training the normalizing flow based on minimizing reverse and forward Kullback-Leibler divergence. | Session 62: Statistical Physics Meets Machine Learning |

972 | A Continuous Formulation of Discrete Spin-Glass Systems | Hartnett, Gavin; Mohseni, Masoud | In this talk, we introduce our general formalism and theoretically establish the similarities and differences with the mean-field models and the Thouless-Anderson-Palmer equation. | Session 62: Statistical Physics Meets Machine Learning |

973 | Machine-learning the DFT of a classical statistical-mechanical system | Yatsyshin, Petr; Duncan, Andrew; Kalliadasis, Serafim | In this talk, we address the inverse problem of finding the free energy functional, given the particle data corresponding to the system in equilibrium. | Session 62: Statistical Physics Meets Machine Learning |

974 | Dynamical loss functions for Machine Learning | Ruiz Garcia, Miguel; Zhang, Ge; Schoenholz, Samuel; Liu, Andrea | We take a different approach by exploring new loss functions. | Session 62: Statistical Physics Meets Machine Learning |

975 | A mechanical model for supervised learning | Stern, Menachem; Arinze, Chukwunonso; Perez, Leron; Palmer, Stephanie; Murugan, Arvind | In this work, we apply the supervised learning framework to self-folding sheets, using a physically motivated learning rule. | Session 62: Statistical Physics Meets Machine Learning |

976 | Quantifying statistical mechanical learning in a many-body system with machine learning | Zhong, Weishun; Gold, Jacob; Marzen, Sarah; England, Jeremy; Yunger Halpern, Nicole | Our strategy relies on a parallel that we identify between representation learning and statistical mechanics in the presence of a drive. | Session 62: Statistical Physics Meets Machine Learning |

977 | Information-bottleneck renormalization group for self-supervised representation learning | Ngampruetikorn, Vudtiwat; Bialek, William; Schwab, David | Here we propose a self-supervised learning method that combines the concepts of the information bottleneck and the renormalization group. | Session 62: Statistical Physics Meets Machine Learning |

978 | On matching symmetries and information between training time series and machine dynamics. | Engelbrecht, Jan; Yang, Owen; Mirollo, Renato | On matching symmetries and information between training time series and machine dynamics. | Session 62: Statistical Physics Meets Machine Learning |

979 | Deep Learning on the 2-Dimensional Ising Model to Extract the Crossover Region | Walker, Nicholas; Tam, Ka-Ming; Jarrell, Mark | The 2-dimensional square Ising model is investigated with a variational autoencoder in the non-vanishing field case for the purpose of extracting the crossover region between the ferromagnetic and paramagnetic phases. | Session 62: Statistical Physics Meets Machine Learning |

980 | Training and classification using Restricted Boltzmann Machine (RBM) on the D-Wave 2000Q | Dixit, Vivek; Kais, Sabre; Alam, Muhammad | Training and classification using Restricted Boltzmann Machine (RBM) on the D-Wave 2000Q | Session 62: Statistical Physics Meets Machine Learning |

981 | Statistical Physics Analysis of Training of Restricted Boltzmann Machines | Oh, Sangchul; Baggag, Abdelkader | We analyze the training process of the restricted Boltzmann machine in the context of statistical physics. | Session 62: Statistical Physics Meets Machine Learning |

982 | Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines | Manukian, Haik; Pei, Yan Ru; Bearden, Sean; Di Ventra, Massimiliano | In this work we show that properly combining standard gradient approximations with an off-gradient direction, constructed from samples of the RBM ground state (mode), improves their training dramatically over the standard methods. | Session 62: Statistical Physics Meets Machine Learning |

983 | Statistical Physics of Noninteracting Bacterial Populations | Jafarpour, Farshid | In this talk, I will take these phenomenological models as the microscopic dynamics of individual cells to quantitatively predict the macroscopic properties of populations both in batch and chemostat settings. | Session 63: Statistical Physics of Large Populations of Cells: from Microbes to Tissues |

984 | Optimal segregation of key proteins in microbes | Min, Jiseon; Amir, Ariel | We study the population growth in the presence of asymmetric segregation and find, generically, a phase transition occurring between a regime where asymmetry is beneficial to one where it is detrimental. | Session 63: Statistical Physics of Large Populations of Cells: from Microbes to Tissues |

985 | Understanding Cell Size Homeostasis and Phenotypic Switching Dynamics during Bacterial Filamentation | Chen, Yanyan; Buceta Fernandez, Javier | To answer these questions, we have modeled the bacterial growth and division processes during filamentation and performed analyses of experimental phenotypic lineage trees. | Session 63: Statistical Physics of Large Populations of Cells: from Microbes to Tissues |

986 | Effect of non-genetic inheritance dynamics on the variation in cellular traits | Vashistha, Harsh; Kohram, Maryam; Salman, Hanna | In this talk, we will introduce a new experimental technique based on trapping sister bacterial cells in microfluidic channels immediately after they separate from a single mother. | Session 63: Statistical Physics of Large Populations of Cells: from Microbes to Tissues |

987 | A large deviation principle linking lineage statistics to fitness | Levien, Ethan; GrandPre, Trevor; Kondev, Jane; Amir, Ariel | Using a large deviation approach, we present a procedure for inferring a population’s fitness from lineage statistics that is independent of the model specifics. | Session 63: Statistical Physics of Large Populations of Cells: from Microbes to Tissues |

988 | A Sensitivity Analysis of Growth Rate to Perturbations in Essential Gene Expression | Bardetti, Paola; Rojas, Enrique | To elucidate the genetic basis for cell growth, we performed an essential genome-wide stability analysis of single-cell growth rate upon CRISPRi-mediated perturbation in gene expression. | Session 63: Statistical Physics of Large Populations of Cells: from Microbes to Tissues |

989 | Modeling and Optimizing Treatments of Bacterial Infections by Phage and Phage-Antibiotic Combinations | Leung, Chung Yin; Rodriguez-Gonzalez, Rogelio; Li, Guanlin; Wardi, Yorai; Weitz, Joshua | In such cases, we consider two strategies proposed to enhance the robustness of phage therapy: combining phage with antibiotics and combining different strains of phage (phage cocktail). | Session 63: Statistical Physics of Large Populations of Cells: from Microbes to Tissues |

990 | New homeostatic principles in biology – how cells go back to their normal size without feedback | Jun, Suckjoon | In this talk, I will focus on cell-size control and homeostasis, a fundmental problem that has been rapidly transforming just in the past few years. | Session 63: Statistical Physics of Large Populations of Cells: from Microbes to Tissues |

991 | Thermodynamic uncertainty relations and fluctuation theorems for Bayes nets | Wolpert, David | The pioneering paper [1] analyzed the non-equilibrium statistical physics of a set S of multiple interacting systems whose joint discrete-time evolution is specified by a Bayesian network. | Session 64: Systems Far from Equilibrium |

992 | Nonequilibrium fluxes in steady state: connection with boundary conditions | Wagner, Caleb; Hagan, Michael; Baskaran, Aparna | Here I will discuss mass fluxes in a class of nonequilibrium systems characterized by driving at the level of individual particles. | Session 64: Systems Far from Equilibrium |

993 | Unifying Thermodynamic Uncertainty Relations | Falasco, Gianmaria; Esposito, Massimiliano; Delvenne, Jean-Charles | We introduce a new technique to bound the fluctuations exhibited by a physical system, based on the Euclidean geometry of the space of observables. | Session 64: Systems Far from Equilibrium |

994 | Non-Gaussian diffusion and energy balance of a Brownian particle in active baths | Park, Jin Tae; Paneru, Govind; Kwon, Chulan; Granick, Steve; Pak, Hyuk Kyu | We present a minimal model to generalize the iconic feature of active matter that Brownian particles diffusing in a harmonic potential are kicked by external forces to engender mobility beyond that attributable to thermal energy. | Session 64: Systems Far from Equilibrium |

995 | Periodic driving in a two-dimensional Brownian ratchet | Gingrich, Todd; Strand, Nils; Fu, Rueih-Sheng | I will present numerical work on the behavior of current reversals in a two-dimensional system. | Session 64: Systems Far from Equilibrium |

996 | Equation of State for a Far-from-equilibrium Thermodynamic System with Emergent Scales at Steady-state | CHATTERJEE, ATANU; Iannacchione, Germano | We present a field theoretic formalism by defining the Lagrangian density as a function of a generic thermodynamic scalar. | Session 64: Systems Far from Equilibrium |

997 | Thermodynamic Analysis of Non-Ergodic and Asymmetric Dimension | Qiao, Yu | We report an interesting Monte Carlo simulation result of a Billiard-type model system, wherein two larger ergodic areas are separated by a small non-ergodic barrier. | Session 64: Systems Far from Equilibrium |

998 | Bounds on current fluctuations for periodically driven systems | Proesmans, Karel | We extend such bounds to systems with time-periodic driving, where they lead to a bound for the hysteresis of any thermodynamic flux. | Session 64: Systems Far from Equilibrium |

999 | Entropy production bounds under Hamiltonian and rate matrix constraints | Kolchinsky, Artemy; Wolpert, David | We investigate the minimal EP that must be incurred to implement such a transformation, if there are constraints on the set of allowed Hamiltonians and rate matrices. | Session 64: Systems Far from Equilibrium |

1000 | Pre-Cooling Strategy Can Generate Exponentially Faster Heating | Raz, Oren; Gal, Amit | This approach can be applied to many-body systems, as we demonstrate in the 2D antiferromagnet Ising model. | Session 64: Systems Far from Equilibrium |

1001 | The solution of the Metropolis dynamics on a complete graph with applications to anomalous thermal relaxations | Vucelja, Marija; Klich, Israel | We find analytically the complete set of eigenvalues and eigenvectors associated with Metropolis dynamics on a complete graph. | Session 64: Systems Far from Equilibrium |

1002 | Out-of-equilibrium chemical networks: dissipation shapes selection | Busiello, Daniel Maria; Liang, Shiling; De Los Rios, Paolo | Here we present a simple chemical network in which the selection of states is driven by the dissipation rate, as previously suggested in the literature: states participating to faster reactions dissipate faster and are the most populated ones in non-equilibrium steady-state conditions. | Session 64: Systems Far from Equilibrium |

1003 | Isometric uncertainty relations | Vroylandt, Hadrien; Proesmans, Karel; Gingrich, Todd | We generalize the link between fluctuation theorems and thermodynamic uncertainty relations by deriving a bound on the variance of fluxes that satisfy an isometric fluctuation theorem. | Session 64: Systems Far from Equilibrium |

1004 | Quantum Thermodynamics of a Spin one System | Bekele, Mulugeta | We take a collection of large non-interacting spin one particles, each having an electric dipole of magnitude m in contact with a heat reservoir at temperature T. | Session 64: Systems Far from Equilibrium |

1005 | Stochastic Thermodynamics with both Even and Odd Controlling Parameters | Tu, Zhanchun | By introducing adjoint dynamics, we find that the total entropy production can be separated into three parts, with two of them satisfying the integral fluctuation theorem. | Session 64: Systems Far from Equilibrium |

1006 | Scale-free networks revealed from finite-size scaling | Serafino, Matteo; Cimini, Giulio; Maritan, Amos; Suweis, Samir; Banavar, Jayanth; Caldarelli, Guido | Network theory is a powerful tool to develop predictive models of physical, biological and social collective phenomena. | Session 65: The Statistical Physics of Real-world Networks |

1007 | Statistical Physics and Twitter analysis | Caldarelli, Guido; Becatti, Carolina; De Nicola, Rocco; Del Vigna, Fabio; Lambiotte, Renaud; Petrocchi, Marinella; SARACCO, Fabio | In this work we analyse approximately 10^6 tweets exchanged during the last Italian elections held on March 4, 2018. | Session 65: The Statistical Physics of Real-world Networks |

1008 | Using Correlated Stochastic Differential Equations to Model Cryptocurrency Rates and Social Media Activities | Dipple, Stephen; Chaudhary, Abhishek; Flamino, James; Szymanski, Boleslaw; Korniss, Gyorgy | Here, we analyze and exploit correlations between the price fluctuations of selected cryptocurrencies and social media activities, and develop a predictive framework using noise-correlated stochastic differential equations. | Session 65: The Statistical Physics of Real-world Networks |

1009 | Optimizing Network Structure in a Network Model of Human Aging | Stubbings, Garrett; Rutenberg, Andrew | Our network model of aging represents aspects of human health as nodes in a complex network, these nodes damage stochastically over time based on the health of their neighbours. | Session 65: The Statistical Physics of Real-world Networks |

1010 | Cascading dynamic slowdowns around hacked vehicles | Vivek, Skanda; Yanni, David; Silverberg, Jesse; Yunker, Peter | Here, we perform simulations of traffic dynamics around hacked vehicles on grids of one-lane roads, using the SUMO traffic simulation platform. | Session 65: The Statistical Physics of Real-world Networks |

1011 | Inference of Network Communities using Random Walks | Ballal, Aditya; Kion-Crosby, Willow; Morozov, Alexandre | We propose a novel stochastic method, based on random walks, for community detection on undirected networks with weighted or unweighted edges. | Session 65: The Statistical Physics of Real-world Networks |

1012 | Resolution limit revisited: community detection using generalized modularity density | Guo, Jiahao; Singh, Pramesh; Bassler, Kevin | In this paper, we introduce a metric that we call generalized modularity density Qg that eliminates the RL problem at any desired resolution scale and is easily extendable to study weighted, directed, and hierarchical networks. | Session 65: The Statistical Physics of Real-world Networks |

1013 | A novel community detection method improves detection of functional gene modules in big gene expression data. | Singh, Pramesh; Guo, Jiahao; Bhandary, Priyanka; Wurtele, Eve; Bassler, Kevin | We identify communities of functionally related genes in the network inferred from the gene expression data of eukaryotic model organisms Arabidopsis thaliana & Saccharomyces cerevisiae by finding the network partition that maximizes the recently introduced generalized modularity density metric Q g. | Session 65: The Statistical Physics of Real-world Networks |

1014 | The broken symmetry of music: applying statistical physics to understand the structure of musical harmony | Berezovsky, Jesse | In this talk, I will present a bottom-up approach to a theory of musical harmony, starting from two basic (and conflicting) principles: a system of music is most effective when it 1. | Session 65: The Statistical Physics of Real-world Networks |

1015 | Evolution of coauthorship networks in view of simplicial complex | Kahng, Byungnam; Lee, Yongsun; Lee, Deokjae | Here, using this simplicial complex representation based on algebraic topology, we consider the evolution of coauthorship networks, a prototypical example of large-scale social relationships, based on empirical datasets on specific subfields in science. | Session 65: The Statistical Physics of Real-world Networks |

1016 | Impact Factor volatility to a single paper: A comprehensive analysis of 11639 journals | Antonoyiannakis, Manolis | We study how a single paper affects the Impact Factor (IF) by analyzing data from 3,088,511 papers published in 11639 journals in the 2017 Journal Citation Reports of Clarivate Analytics. | Session 65: The Statistical Physics of Real-world Networks |

1017 | A mathematical analysis of Stock price oscillations within financial markets. | Mushunje, Leonard | We applied mathematical methods to derive the stock market price oscillatory model from the physics field. | Session 65: The Statistical Physics of Real-world Networks |

1018 | When money beats time: the effect of length-dependent costs on transport driven by long-range connections | Paulose, Jayson; Suter, Tom; Hallatschek, Oskar | We study the trade-off between broad jump rate distributions and growing cost functions in a model that generates ensembles of optimal routes for specified jump rates and cost functions. | Session 65: The Statistical Physics of Real-world Networks |

1019 | Quantum mechanism of price stabilization in financial markets | Sarkissian, Jack | We study the mechanism of price stabilization in financial instruments using the quantum coupled-wave model and show that security mispricing results in persistent execution imbalance, which drives the price towards its fair value. | Session 65: The Statistical Physics of Real-world Networks |

1020 | Hybrid phase transitions driven by tug-of-war mechanism in complex dynamic systems | Kahng, Byungnam; Park, Jinha; Yi, Sudo; choi, kwangjong | Here, we perform such tasks. | Session 65: The Statistical Physics of Real-world Networks |

1021 | The statistical physics of real-world networks: standing on Jaynes’ shoulders | SARACCO, Fabio | In 1957 Jaynes proposed an Information Theory approach to derive the statistical ensembles of Statistical Mechanics: the maximisation of the Shannon entropy, after constraining the energy of the system, returns exactly the probability distributions of the canonical ensemble. | Session 65: The Statistical Physics of Real-world Networks |

1022 | Complex networks with complex nodes | D’Souza, Raissa | This talk will survey results of a recent project at three different scales on the complex node versus complex network spectrum, from synchronization in nanoscale oscillations to hierarchy and stability in multilayered social systems of macaque monkeys. | Session 65: The Statistical Physics of Real-world Networks |

1023 | Percolation in real interdependent networks | Radicchi, Filippo | In this talk, I will consider three different percolation models that provide different insights on the robustness of real-world interdependent networks. | Session 65: The Statistical Physics of Real-world Networks |

1024 | Structure, phase transitions, and message passing in sparse networks | Newman, Mark | This talk will introduce the message passing method through a progressive series of examples and illustrate how the method can be used for a wide range of calculations of network structure and function. | Session 65: The Statistical Physics of Real-world Networks |

1025 | A Networks View on Functional Brain Dynamics: timeseries, behavior and beyond | Gili, Tommaso | In this presentation I will show the networks perspective of brain functioning by highlighting the state-of-the-art of graph embedding in human neuroscience and the fundamental role of functional topology in supporting human behavior in healthy subjects and in neuropsychiatric patients. | Session 65: The Statistical Physics of Real-world Networks |

1026 | Thermodynamics of Open Chemical Reaction Networks: Theory and Applications | Esposito, Massimiliano | After formulating a nonequilibrium thermodynamics for open chemical reaction networks, the theory will be applied to assess the thermodynamics performance of a dissipative self-assembly scheme. | Session 66: Thermodynamics of Biological and Artificial Computation |

1027 | Universal thermodynamic bounds on nonequilibrium response with biochemical applications | Owen, Jeremy; Gingrich, Todd; Horowitz, Jordan | In this spirit, we derive a collection of equalities and inequalities valid arbitrarily far from equilibrium that constrain the response of nonequilibrium steady states in terms of the strength of nonequilibrium driving. | Session 66: Thermodynamics of Biological and Artificial Computation |

1028 | Trade-Offs between Error, Speed, Noise and Energy Dissipation in Biological Processes with Proofreading | Mallory, Joel; Kolomeisky, Anatoly; Igoshin, Oleg | We developed a quantitative method to rank the importance of the properties. | Session 66: Thermodynamics of Biological and Artificial Computation |

1029 | Observation of Stochastic Resonance in Transport of the DNA between Entropic Traps | Lame, Shayan | We describe a nanofluidic system in which stochastic resonance (SR) could be observed in the motion of single DNA molecules. | Session 66: Thermodynamics of Biological and Artificial Computation |

1030 | Over-damped Brownian dynamics in piecewise-defined energy landscapes | Yong, Ee Hou; Gray, Thomas | We study the over-damped Brownian dynamics of particles moving in piecewise-defined potential energy landscapes U(x), where the height Q of each section is obtained from the exponential distribution p(Q) = aβ exp(−aβQ), where β is the reciprocal thermal energy, and a > 0. | Session 66: Thermodynamics of Biological and Artificial Computation |

1031 | An Energy-Accuracy Tradeoff for Nonequilibrium Receptors | Harvey, Sarah; Lahiri, Subhaneil; Ganguli, Surya | Here we discuss two novel analytical bounds on signal estimation uncertainty in different limits of the observability of the sensing system. | Session 66: Thermodynamics of Biological and Artificial Computation |

1032 | Functional Thermodynamics for Arbitrary Mawellian Ratchets | Jurgens, Alexandra; Crutchfield, James | To solve the problems these pose, we adapt recent results from dynamical systems theory to efficiently and accurately calculate the entropy rates and the rate of statistical complexity divergence of general hidden Markov chains. | Session 66: Thermodynamics of Biological and Artificial Computation |

1033 | Trajectory-Class Fluctuation Theorems: Work Decomposition in Metastable Information Processing | Wimsatt, Greg; Saira, Olli; Boyd, Alec; Matheny, Matthew; Han, Siyuan; Roukes, Michael; Crutchfield, James | Trajectory-Class Fluctuation Theorems: Work Decomposition in Metastable Information Processing | Session 66: Thermodynamics of Biological and Artificial Computation |

1034 | Quantifying scale-dependent irreversibility using persistent homology | Perez, Leron; Husain, Kabir; Chowdhury, Samir; Schweinhart, Benjamin; Galstyan, Vahe; Mehta, Pankaj; Fakhri, Nikta; Murugan, Arvind | Here, we generalize persistence homology, a scale-dependent topological characterization method, to quantify irreversibility on different scales. | Session 66: Thermodynamics of Biological and Artificial Computation |

1035 | Propagating oscillons in a 1Dim. Faraday experiment | Wesfreid, Jose; Kucher, Samantha; Cobelli, Pablo | We present the first experimental evidence of the existence of trains of propagating oscillons or localized structures in a 1D Faraday experiment in water. | Session 67: Turbulence & Nonlinear Dynamics |

1036 | Linearly driven flow on a rotating sphere | Supekar, Rohit; Heinonen, Vili; Burns, Keaton; Dunkel, Jörn | Here, we extend the analysis to actively driven flows on rotating spheres, motivated in part by the complex flow patterns observed in planetary atmospheres. | Session 67: Turbulence & Nonlinear Dynamics |

1037 | Numerical Simulations of Gravitational Waves from Early-Universe Turbulence | Roper Pol, Alberto | We perform direct numerical simulations of magnetohydrodynamic turbulence in the early universe and numerically compute the resulting stochastic background of gravitational waves and relic magnetic fields. | Session 67: Turbulence & Nonlinear Dynamics |

1038 | Imaging Fluorescence of He*2 Excimers Created by Neutron Capture in Liquid He II—a New Approach for Turbulent Flow Research | Wen, Xin; Bao, Shiran; McDonald, Landen; Pierce, Josh; Greene, Geoffrey; Crow, Morris; Tong, Xin (Tony); Mezzacappa, Anthony; Glasby, Ryan; Guo, Wei; Fitzsimmons, Michael | We show unequivocal evidence for formation of He * 2 excimers in liquid He II created by ionizing radiation produced through neutron capture. | Session 67: Turbulence & Nonlinear Dynamics |

1039 | Small-scale Energy Transfer in Turbulence | Chen, James; Cheikh, Mohamad | The analysis reveals that at the small-scale both forward and inverse energy cascade exist in homogeneous isotropic turbulence while an overall negative energy flux (forward cascade) is present globally. | Session 67: Turbulence & Nonlinear Dynamics |

1040 | Optimal perturbations for transient growth in a 3D stratified channel using nonlinear direct-adjoint looping | Thakur, Ritabrata; Sharma, Arjun; Govindarajan, Rama | We obtain the maximum perturbation energy growth in a three-dimensional heated plane channel. | Session 67: Turbulence & Nonlinear Dynamics |

1041 | Role of elasticity and solvent viscosity on the center mode instability in pipe Poiseuille flow of Oldroyd-B fluids. | Chaudhary, Indresh; Subramanian, Ganesh; Shankar, Viswanathan | The stability has been analyzed for axisymmetric perturbations using pseudospectral and shooting methods. | Session 67: Turbulence & Nonlinear Dynamics |

1042 | Turbulence generation through an iterative cascade of the elliptical instability | McKeown, Ryan; Ostilla Monico, Rodolfo; Pumir, Alain; Brenner, Michael; Rubinstein, Shmuel | We demonstrate the existence of a novel mechanism in which two counter-rotating vortices violently collide and break down, leading to the rapid development of a turbulent energy cascade mediated by iterations of the elliptical instability. | Session 67: Turbulence & Nonlinear Dynamics |

1043 | 3D Visualization of Reconnections in Vortex Ring Collision | Newbolt, Joel; McKeown, Ryan; Rubinstein, Shmuel | 3D Visualization of Reconnections in Vortex Ring Collision | Session 67: Turbulence & Nonlinear Dynamics |

1044 | Dynamics and deformation of a vortex during pairing under the influence of external shear | Folz, Patrick | The main flow regimes, pairing and separation, are identified and briefly discussed; this work focuses on vortex-dominated pairings, in which the shear is observed to primarily aid or hinder the onset of detrainment, which precipitates the main convective interaction that results in a single final vortex. | Session 67: Turbulence & Nonlinear Dynamics |

1045 | Transition to Condensate Formation in a Thin Rotating Fluid Layer | Linkmann, Moritz; Buzzicotti, Michele | With a view towards atmospheric physics, we study the formation of the condensate in a rotating thin layer with free-slip boundary conditions as function of the amplitude of the forcing, and we quantify the effect of large-scale friction. | Session 67: Turbulence & Nonlinear Dynamics |

1046 | Predicting failure in disordered solids from structural metrics | Richard, David; ozawa, Misaki; Patinet, Sylvain; Stanifer, Ethan; Shang, Baoshuang; Ridout, Sean; Xu, Bin; Zhang, Ge; Morse, Peter; BARRAT, Jean-Louis; Berthier, Ludovic; Bouchbinder, Eran; Falk, Michael; Guan, Pengfei; Liu, Andrea; Martens, Kirsten; Sastry, Srikanth; Vandembroucq, Damien; Lerner, Edan; Manning, M. Lisa | Here we use a swap Monte Carlo algorithm to prepare equilibrium amorphous configurations with very different stabilities that exhibit a range of behaviors under shear, from ductile flow to brittle failure. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1047 | Yielding of Ultrastable Computer Glasses | Ozawa, Misaki; Berthier, Ludovic; Biroli, Giulio; Rosso, Alberto; Tarjus, Gilles; Singh, Murari; Yeh, Wei-Ting; Miyazaki, Kunimasa; Kawasaki, Takeshi | We study mechanical yielding of ultrastable computer glasses generated by optimized swap Monte-Carlo simulations for polydisperse particles [1,2] as well as more realistic multi-component metallic glass models [3]. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1048 | When does local structure play a role in sheared jammed packings? | Ridout, Sean; Rocks, Jason; Liu, Andrea | We apply the softness analysis to plastic events in jammed packings across many dimensions and pressures, and find that local structure is perhaps more predictive than one might have guessed. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1049 | Connecting thermal relaxation to local yield stress in glassy systems | Lerbinger, Matthias; Barbot, Armand; Patinet, Sylvain; Vandembroucq, Damien | We study a binary Lennard-Jones mixture in the supercooled regime using molecular dynamic simulations. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1050 | Correlation between local structural order and ductility of glasses | Nawano, Aya; Hu, Yuan-Chao; Schroers, Jan; Shattuck, Mark; O’Hern, Corey | In this work, we identify atomic-scale structural signatures in undeformed metallic glasses that are able to predict their mechanical response to tension or pure shear tests. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1051 | Understanding shear bands characteristics and formation in model glasses through the measure of the local yield stress. | Barbot, Armand; Lerbinger, Matthias; Lemaître, Anaël; Vandembroucq, Damien; Patinet, Sylvain | This method is nonperturbative and gives access to a quantitative property on a well-controlled length scale. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1052 | Atomic nonaffinity as structural indicator of protocol-dependent plasticity in amorphous solids | Xu, Bin; Falk, Michael; Patinet, Sylvain; Guan, Pengfei | Here we report the atomic nonaffinity, as a structural indicator with intrinsic orientation, which is derived from the total nonaffine modulus based on a perturbation analysis of the potential energy landscape. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1053 | Unveiling the predictive power of static structure in glassy systems | Bapst, Victor; Keck, Thomas; Grabska-Barwinska, Agnieszka; Donner, Craig; Cubuk, Ekin Dogus; Schoenholz, Sam; Obika, Annette; Nelson, Alexander; Back, Trevor; Hassabis, Demis; Kohli, Pushmeet | Recent approaches propose inferring predictors from a variety of human-defined features using machine learning. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1054 | Identifying flow units by machine learning in a model metallic glass | Wu, Yicheng; Bai, Haiyang; Guan, Pengfei | We report the successful identification of flow units in the model Zr 50Cu 50 metallic glass above and below its glass transition temperature by machine learning methods. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1055 | Residual stress distributions and mechanical noise in athermally deformed amorphous solids from atomistic simulations | Ruscher, Céline; Rottler, Joerg | We reveal the evolution of P(x) upon deformation by combining atomistic simulations with the frozen matrix approach. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1056 | Interplay between rearrangements, strain, and softness and during avalanche propagation | Zhang, Ge; Ridout, Sean; Liu, Andrea | Here we study an athermal, jammed packing of Hertzian particles that is sheared quasistatically. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1057 | Structural evolution of amorphous systems during avalanches | Stanifer, Ethan; Manning, M. Lisa | Using numerical simulations of soft spheres, we find that avalanches can be decomposed into a series of localized excitations, and we develop an extension of persistent homology to isolate these excitations. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1058 | The behavior of jammed packings under correlated random forces | Roy, Sudeshna; Stanifer, Ethan; Manning, M. Lisa | We find that both the effective modulus with respect to the random forcing direction, as well as the average effective strain between rearrangements or saddle points, does change systematically with correlation length. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1059 | Understanding the boson peak in glasses and glassy polymers | Zaccone, Alessio | Understanding the boson peak in glasses and glassy polymers | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1060 | Revealing the low-temperature fast relaxation peak in a model metallic glass | Guan, Pengfei | Revealing the low-temperature fast relaxation peak in a model metallic glass | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1061 | Accuracy of Classical Potentials for Polyethylene Structures Away from Equilibrium | Frawley, Keara; Chen, Lihua; Tran, Huan; Thadhani, Naresh; Ramprasad, Ramamurthy | This work is a comparative study of two widely used classical potentials—Optimized Potentials for Liquid Simulations (OPLS) and the reactive force-field (ReaxFF)—with respect to DFT. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1062 | Disentangling glassy polymer dynamics: combining simulations and machine learning | Lappala, Anna | The problem of the glass transition combines the concepts of self-organization, collective and heterogenous dynamics and poses an unsolved fundamental problem in condensed matter physics. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1063 | Amorphous polymers in their glass transition regime : Comparison of local and macroscopic small non-linearities | Belguise, Aude; Lequeux, François; Cantournet, Sabine; Montes, Hélène | In this work, we focus on the onset of non-linearities where non-linear relaxation is accelerated in comparison to the linear case. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1064 | Atomic-scale understanding of highly conducting polymer electrolyte | Jung, Sungyeb; Song, Yeonhwa; Choi, U Hyeok; Park, Jae Hyun; Lee, Jaekwang | Here, we find that novel poly acrylic acid polymer-based electrolyte exhibits at least two orders of magnitude higher ionic conductivity compared with conventional solid polymer electrolytes. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1065 | Effects of Coarse-Graining on Molecular Simulations of Mechanical Properties of Polymers | Ge, Ting; Robbins, Mark | We develop a multi-scale method that uses properly selcted coarse-grained models to accelerate the simulation of mechanical response while fine-grained models to capture the accurate stress value. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1066 | Ubiquity of Entropy-Driven Local Organization | Klishin, Andrei; Van Anders, Greg | Here, we employ minimal models that artificially restrict system entropy to show that entropy drives systems toward local organization, even when the model system entropy is below reasonable physical bounds. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1067 | Measuring configurational entropy of glasses using population annealing | Amey, Chris; Machta, Jonathan | In this talk we present two methods to calculate the vibrational (S vib) and configurational (S c) entropies of glassy fluids in the context of population annealing Monte Carlo. We present numerical data for large-scale population annealing simulations of binary hard sphere fluids with 30, 60, and 100 particles. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1068 | Statistical structural and dynamic heterogeneity as signature of glass transition | Wang, Yunjiang; Han, Dong | Here I introduce two parameters based on the Shannon Information Entropy concept which can be served as intuitive signatures of glass transition. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1069 | RFOT theory explains fragile-to-strong crossover in Wigner glasses | Cho, Hyun Woo; Mugnai, Mauro; Kirkpatrick, Theodore; Thirumalai, Dave | We found that the prediction of the random first order transition (RFOT) theory quantitatively describes the universal feature of the glass transitions of the charged colloids, such as growing length scales associated with heterogeneous dynamics. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1070 | Cluster Dynamic Mean Field Theory of Glass Transition | liu, chen; Biroli, Giulio; Reichman, David; Szamel, Grzegorz | In this talk we will present CDMFT and present results for three dimensional super-cooled liquids. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1071 | Understanding TA from dynamic heterogeneity in metallic glass-forming liquids | Ren, Nannan; Guan, Pengfei; Wang, Lijin; Hu, Lina | Our findings provide a new insight of T A from the perspective of dynamic heterogeneity and shed light on the glass forming of metallic liquids. | Session 68: Understanding Glasses and Disordered Systems Through Computational Models |

1072 | Sound Scattering and Plasticity n Amorphous materials | Tanguy, Anne; Luo, Haoming; Desmarchelier, Paul; Gravouil, Anthony; Beltukov, Yaroslav; Lund, Fernando | In this talk, we will compare sound scattering in amorphous materials in the presence of inclusions. | Session 69: Understanding glasses and disordered systems through computational models |

1073 | Energy Dissipation in Amorphous Solids during Elastic Deformation | Grießer, Jan; Pastewka, Lars | Here we use large-scale molecular dynamics simulations to investigate energy dissipation mechanisms in a model amorphous solid and compare it to a crystalline solid. | Session 69: Understanding glasses and disordered systems through computational models |

1074 | Local excitations in re-heated ultrastable glasses | JI, WENCHENG; de Geus, Tom W. J.; Popović, Marko; Lerner, Edan; Wyart, Matthieu | We numerically study their frequency density D loc(ω) evolution under thermal cycles at different temperatures T, starting from ultrastable glass configurations where these excitations are gapped. | Session 69: Understanding glasses and disordered systems through computational models |

1075 | Cluster-flip colloidal and atomistic algorithms with background potentials | Kent-Dobias, Jaron; Sethna, James | We introduce an extension to cluster algorithms of colloidal and atomistic models that naturally incorporates nonuniform background potentials. | Session 69: Understanding glasses and disordered systems through computational models |

1076 | Accelerated relaxation in amorphous materials under cyclic loading with alternating shear orientation | Priezjev, Nikolai | We showed that with increasing strain amplitude in the elastic range, the system is relocated to deeper energy minima. | Session 69: Understanding glasses and disordered systems through computational models |

1077 | Mesoscale models of amorphous solids under cyclic shear: emergence and character of limit cycles. | Abdelshafy, Kareem; Tyukodi, Botond; Vandembroucq, Damien; Maloney, Craig | We use the mesoscale model to study the limit cycles at various strain amplitude. | Session 69: Understanding glasses and disordered systems through computational models |

1078 | Comparison of yielding behaviour in model network and atomic glasses | Bhaumik, Himangsu; Foffi, Giuseppe; Sastry, Srikanth | We investigate the manner in which such a transition is manifested in a model network glass, the BKS model of silica [3]. | Session 69: Understanding glasses and disordered systems through computational models |

1079 | Molecular Dynamics Study on Mechanical and Rheological Properties of Bulk Metallic Glass around Glass Transition Temperature | Yu, Ji Woong; Rahbari, S. H. Ebrahimnazhad; Lee, Won Bo | Using large scale computational power, we investigated the mechanical properties of the celebrated Kob-Andersen mixture, a model BMG, using active microrheology in molecular dynamics (MD) simulations. | Session 69: Understanding glasses and disordered systems through computational models |

1080 | Computational generation of voids in a-Si and a-Si:H by cavitation at low density | Guerrero, Enrique; Strubbe, David | Instead, we generate voids within a-Si and a-Si:H using a fast, unbiased approach: the Wooten-Winer-Weaire classical-potential Monte Carlo method where we vary the density and replace some Si-Si bonds with Si-H bonds. This work provides a set of void structures for further studies of their effects on degradation, hole mobility, two-level systems, thermal transport, and elastic properties. | Session 69: Understanding glasses and disordered systems through computational models |

1081 | Molecular Dynamics Simulation of Amorphous Oxides | Zhang, Rui; Jiang, Jun; Yazback, Maher; Mishkin, Alec; Cheng, Hai-Ping | To optimize their performance, efforts have been devoted to determining diffusive behavior of amorphous pure Ta 2O 5 as well as Ta 2O 5 with various dopants by classical molecular dynamics (MD) simulations. | Session 69: Understanding glasses and disordered systems through computational models |

1082 | Transient Structured Fluctuations Approaching 2D Kagome-Liquid Transition | Nowack, Linsey; Rice, Stuart | We study two 2D systems known to support an open-packed Kagome phase[1]. | Session 69: Understanding glasses and disordered systems through computational models |

1083 | Analysis of coarsening and aging in Ising spin glasses using record dynamics | Boettcher, Stefan; Rahman, Mahajabin | To that end, we use Ising spin models that interpolate between the spin glass and ferromagnet by varying the admixture of anti-ferromagnetic bonds from 50% to zero. | Session 69: Understanding glasses and disordered systems through computational models |

1084 | Many-body localization to spin glass phase transition in disordered spin-chain system | Li, Zeyang; Peng, Pai | We consider a disordered Heisenberg XXZ model with on-site random field and random anisotropy. | Session 69: Understanding glasses and disordered systems through computational models |

1085 | Stress and velocity fluctuations in photoelastic granular avalanches | Vriend, Nathalie; Thomas, Amalia; Daniels, Karen | In this study, we analyze the correlation between velocity fluctuations and stress fluctuations in both the quasi-steady layer (close to the rough base) and the flowing layer (near the free surface). | Session 70: Visualizing Forces in Soft Materials via Photoelastic and Other Optical Techniques |

1086 | Photoelastic Analysis of Cohesive Granular Aggregates | Patterson, Carter; Kollmer, Jonathan; Brzinski, Theodore | We present photoelasticimetric force measurements of systems of particles which exhibit attractive interparticle forces, and contrast the structure of force networks in these systems with the networks in purely repulsive aggregates. | Session 70: Visualizing Forces in Soft Materials via Photoelastic and Other Optical Techniques |

1087 | Optical characterization of underwater contact mechanics | Sun, Mengyue; Kaur, Sukhmanjot | Here, we present a simple, FTIR-based imaging technique to spatially resolve and quantify thickness of nanoscopic puddles formed between two solids in contact under water. | Session 70: Visualizing Forces in Soft Materials via Photoelastic and Other Optical Techniques |

1088 | Worms in Jell-O: Using photoelastic stress analysis to measure burrowing forces | Dorgan, Kelly | Worms in Jell-O: Using photoelastic stress analysis to measure burrowing forces | Session 70: Visualizing Forces in Soft Materials via Photoelastic and Other Optical Techniques |

1089 | Exploiting photoelasticity to characterize dynamics of polymer networks | Szczepanski, Caroline; Leslie, Kelsey-Ann; Doane-Solomon, Robert; Arora, Srishti; Driscoll, Michelle | In this work, we exploit the photoelastic behavior of polymer networks to characterize internal stresses that develop during swelling and subsequent rupture of hydrogels. | Session 70: Visualizing Forces in Soft Materials via Photoelastic and Other Optical Techniques |

1090 | The local mechanics of macroscopic heterogeneous photoelastic polymer networks | Boots, Johannes N.M.; Schaap, Jorik; Dijksman, Joshua; Van der Gucht, Jasper; Kodger, Thomas | We will present the comparisons between simulations/experiments and explore the underlying mechanics of a polymer network in both the linear and non-linear regime just before network failure. | Session 70: Visualizing Forces in Soft Materials via Photoelastic and Other Optical Techniques |

1091 | Direct force measurement of microscopic droplets pulled along soft surfaces | Khattak, Hamza; Dalnoki-Veress, Kari | We explore droplet dynamics on soft materials using a micropipette-based technique to simultaneously image, and measure the forces on, a microscopic droplet dragged along a soft interface. | Session 70: Visualizing Forces in Soft Materials via Photoelastic and Other Optical Techniques |

1092 | Experimental Studies on Slow Impacts and Interaction with Regolith Covered Surfaces in Low Gravity | Kollmer, Jonathan | This talk I will give an overview of some recent experiments that explore ejecta generation and material redistribution from slow impacts into a granular bed under realistic space condtions. | Session 70: Visualizing Forces in Soft Materials via Photoelastic and Other Optical Techniques |

1093 | Optical spatio-temporal control of active matter systems in 2-D. | Senbil, Nesrin; Lemma, Linnea; Dogic, Zvonimir; Fraden, Seth | Our goal is to control the defect velocity and their direction to guide them towards a certain destination. | Session 70: Visualizing Forces in Soft Materials via Photoelastic and Other Optical Techniques |

1094 | Dynamical Inference of Forces Using Three-dimensional Tomographic Imaging of Dusty Plasmas | Yu, Wentao; Gogia, Guga; Mendez, Joshua; Wu, Brady; Burton, Justin | The method is robust to noise in the data, and can be applied to other many-body systems with complex interactions. | Session 70: Visualizing Forces in Soft Materials via Photoelastic and Other Optical Techniques |

1095 | From dewetting to adhesion rupture – moving lines in dissipative, heterogeneous systems | Barthel, Etienne; Ciccotti, Matteo | In fact, even for homogeneous systems, evaluating the dissipation is still often a problematic question and the most simple cases – dewetting newtonian liquid or adhesion rupture for a linear viscoelastic solid – are far from being completely understood, especially when confrontion with experimental results is intended… Here we consider the dynamics of a front in a dissipative material moving on a heterogeneous surface at finite velocity. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1096 | Adhesion in Capillary Assembled Origami Structures | Twohig, Timothy; Croll, Andrew | In this work, we experimentally study thin-film/substrate and thin-film/thin-film adhesive interactions in order to explore the interplay between capillary forces, thin-film elasticity, bending, and adhesion. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1097 | Morphology of adhesive creases | Essink, Martin; Pandey, Anupam; Karpitschka, Stefan; Limbeek, Michiel; Snoeijer, Jacco | From this we derive a scaling theory for the intricate bifurcation scenario, explaining the hysteretic nucleation of adhesive creases. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1098 | Energy Approach to Understand Contact Mechanics on Rough Surfaces | Dalvi, Siddhesh; Gujrati, Abhijeet; Jacobs, Tevis; Pastewka, Lars; Dhinojwala, Ali | Here, with experimentally controlled elastic modulus, roughness and surface chemistry, we demonstrate that the reduction in work of adhesion is equal to the energy required to achieve conformal contact. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1099 | Interfacial tension measurement of reconstructive interfaces | Yokoyama, Hideaki; Saito, Masayuki | To measure interfacial tension of reconstructive interface, we developed a novel method using elastomer thin films floating on water. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1100 | Capillary instability of soft cylinders: Dynamical selection of nonlinear states | Kansal, Minkush; Pandey, Anupam; Herrada, Miguel; Eggers, Jens; Snoeijer, Jacco | Here we reveal the intricate morphologies that can be encountered during the capillary collapse of an elastic cylinder, from minimisation of capillary and elastic energy. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1101 | How Aqueous Salt Solutions Affect Hydrophobic Surfaces | Poynor, Adele; Hornberger, Cayton; Rohaley, Grace; Sebolt, Juliana | We study this damage for a variety of self-assembled monolayers (SAMs) in different aqueous salt solutions, using contact angle measurements, scanning electron microscopy, surface plasmon resonance. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1102 | Determination of Interfacial Strain on Single-Layer Graphene Due to Ice Adhesion | Kattel, Subash; Murphy, Joseph; Pasco, Samuel; Ackerman, John; Alvarado, Vladimir; Rice, WIlliam | Here, we use Raman spectroscopy to non-perturbatively and contactlessly measure ice-induced strain. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1103 | Capillary imbibition in a square tube | Yu, Tian; Zhou, Jiajia; Doi, Masao | We propose coupled equations for liquid imbibition in both parts and show that the lengths both increase in time following Lucas–Washburn’s law, but the coefficients are different from those obtained in the previous analysis that ignored the coupling. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1104 | Multiphase Flow Through Hairy Channels | Ushay, Christopher; Jambon-Puillet, Etienne; Brun, Pierre-Thomas | By displacing the oil with water at Ca<<1, we study the geometry and contact line dynamics of the evolving interface and the impact of confinement on oil removal. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1105 | Rate control of blister inflations and the skin patterns | Shen, Tong; cerda, Eduard; Vernerey, Franck | Through a combination of experiment and theoretical modeling, we find that competition between these time scales may trigger two instabilities, namely the membrane’s thinning instability and the delamination instability. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1106 | Rupture noise of a moving contact line | Yan, Caishan; Guan, Dongshi; Lai, Pik-Yin; Chen, Hsuan-Yi; Tong, Penger | Here, we report the avalanche statistics of a moving contact line (CL) pulled by an AFM-based hanging glass fiber through a liquid-air interface. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1107 | Soft Wetting and Phase Separation on Swollen Polymer Networks | Cai, Zhuoyun; Pham, Jonathan | We implement confocal microscopy to visualize the crosslinked polymer and solvent phase separately during soft wetting. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1108 | Spreading dynamics of water onto soluble polymer coatings with hydrophobic insoluble patterns | Melides, Solomon; Brown, Jonathan; Keddie, Joseph; Ramaioli, Marco | This study introduced surface heterogeneity by inkjet printing hydrophobic fat patterns at controlled area fractions 0-50% onto thin soluble polymer coatings of maltodextrin to assess the impact on the water spreading dynamics, at controlled ambient RH. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1109 | Tape Loop Adhesion | Elder, Theresa; Twohig, Timothy; Croll, Andrew | By using both polydimethylsiloxane (PDMS) and polycarbonate (PC) as ‘tape’ materials, we explored the mechanics of both ‘tacky’ and dry adhesive systems. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1110 | Elastocapillarity and Rolling Dynamics of Solid Nanoparticles | Tian, Yuan; Liang, Heyi; Dobrynin, Andrey | We use molecular dynamics simulations of rolling dynamics of solid nanoparticles with size Rp in contact with soft elastic substrates to elucidate effect of capillary, elastic and friction forces on rolling motion. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1111 | Understanding Elastomeric Contact Interfaces in the Presence of Water | Kumar, Nityanshu; Kaur, Sukhmanjot; Dalvi, Siddhesh; Dhinojwala, Ali | In this work, we have studied the contact interface between hydrophobic PDMS and hydrophilic sapphire substrate in dry and wet conditions using infrared-visible sum-frequency generation (SFG) spectroscopy and macroscopic Johnson-Kendall-Roberts (JKR) adhesion measurements. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1112 | Universal Scaling Behavior of the Tackiness of Polymer Melts | Wang, You; Zhou, Aiping; Wang, Xiaorong | This presentation describes the measurement of stickiness or tackiness, as measured by the peak force to pull off a cylindrical probe from neat polyisoprene melts, the latter of varying materials and surface roughness, over a range of separation speeds. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1113 | Spreading dynamics of water droplets on hydrophilic surfaces | Tsige, Mesfin; Bekele, Selemon | In this work, we will present results on the spreading behaviour of water droplets of varying sizes on a completely wetting surface investigated using fully atomistic molecular dynamic simulations. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1114 | Multi-scale model of gas transport through soap-film membranes used for Artificial Photosynthesis | Falciani, Gabriele; Franklin, Ricardo; Hassanali, Ali; Chiavazzo, Eliodoro | Here, we specifically focus on gas transport through those membranes realized in the form of functionalized soap-films. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1115 | The role of crystallization, dewetting, and contact angle in the formation of high aspect ratio crystals | Giso, Mathew; Zhao, Haoda; Spicer, Patrick; Atherton, Tim | We present a process to produce crystals with a controllable aspect ratio using just oil and water in an easily scalable process. | Session 71: Wetting and Adhesion of Soft Materials: Dynamics and Instability |