# Highlights of Statistical and Nonlinear Physics (GSNP) Talks @ APS 2021 March Meeting

American Physics Society (APS) March meeting is one of the largest physics meetings in the world. In 2021, the meeting will be held online due to 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 | Learning about learning by many-body systems | Yunger Halpern, Nicole | Learning about learning by many-body systems | Session 1: AI and Statistical/Thermal Physics |

2 | Can artificial intelligence learn and predict molecular dynamics? | Tiwary, Pratyush | In this talk we draw parallels between such tasks, and the efficient sampling of complex molecules with hundreds of thousands of atoms. | Session 1: AI and Statistical/Thermal Physics |

3 | Optimal machine intelligence near the edge of chaos | Feng, Ling; Zhang, Lin; Lai, Choy Heng | We develop a general theory that reveals the exact edge of chaos for generic non-linear systems is the boundary between the chaotic phase and the (pseudo)periodic phase arising from Neimark-Sacker bifurcation. | Session 1: AI and Statistical/Thermal Physics |

4 | Using learning by confusion to identify the order of a phase transition | Richter-Laskowska, Monika; Maska, Maciej | For a few selected models we demonstrate how this method can be used to distinguish between first and second order phase transitions. | Session 1: AI and Statistical/Thermal Physics |

5 | Asymptotic stability of the neural network and its generalization power | Zhang, Lin; Feng, Ling; Chen, Kan; Lai, Choy Heng | Based on this, we propose a method to calculate a lower bound for the regularization strength which could maintain the model at the boundary of stability. | Session 1: AI and Statistical/Thermal Physics |

6 | Renormalized Mutual Information for Artificial Scientific Discovery | Sarra, Leopoldo; Aiello, Andrea; Marquardt, Florian | We develop a new “renormalized” version, with the same physical meaning but finite. | Session 1: AI and Statistical/Thermal Physics |

7 | How neural nets compress invariant manifolds | Paccolat, Jonas; Petrini, Leonardo; Geiger, Mario; Tyloo, Kevin; Wyart, Matthieu | We study how neural networks compress uninformative input space in models where data lie in d dimensions, but whose label only vary within a linear manifold of dimension d p < d. | Session 1: AI and Statistical/Thermal Physics |

8 | Perturbation Theory for the Information Bottleneck | Ngampruetikorn, Vudtiwat; Schwab, David | Here we derive a perturbation theory for the IB method and report new analytical results for the learning onset – the limit of maximum relevant information per each bit, extracted from data. | Session 1: AI and Statistical/Thermal Physics |

9 | Real-space mutual information neural estimation algorithm for single-step extraction of renormalisation group-relevant degrees of freedom | Gokmen, Doruk Efe; Ringel, Zohar; Huber, Sebastian; Koch-Janusz, Maciej | We develop an efficient numerical algorithm based on recent rigorous results on mutual information estimation with neural networks. | Session 1: AI and Statistical/Thermal Physics |

10 | Deep learning in phase transition prediction of disordered materials | Kamrava, Serveh; Sahimi, Muhammad | We present a deep neural network (DNN) for predicting such properties of two- and three-dimensional systems and in particular their percolation probability, the threshold p c. All the predictions are in excellent agreement with the data. | Session 1: AI and Statistical/Thermal Physics |

11 | Is fluid friction enough to counteract the active drive in ciliary oscillations? | Mondal, Debasmita; Adhikari, Ronojoy; Sharma, Prerna | We combine these experimental insights with theoretical modeling of active filaments to illustrate that ciliary oscillations indeed exist in the presence of internal friction as the sole source of dissipation. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

12 | Measuring the Stokes’ drag in a microtubule-kinesin active gel | Durey, Guillaume; Luo, Wan; Dalal, Shibani; Duclos, Guillaume; Pelcovits, Robert; Powers, Thomas; Breuer, Kenneth | Combined with theoretical and numerical frameworks, we present the statistics of the bead trajectories and develop the form of the Stokes drag for active media. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

13 | Phase diagram of microtubule and end-directed motor proteins | Dogic, Zvonimir; Lemma, Bezia; Mitchell, Noah; Subramanian, Radhika; Needleman, Daniel | Extensive efforts over the past few years have focused on understanding the non-equilibrium macroscale behaviors of filamentous biopolymers such as microtubules and actin filaments that are driven by associated molecular motors. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

14 | Bifurcations and the nature of transition to turbulence in active nematic channel flow | Wagner, Caleb; Norton, Michael; Park, Jae Sung; Grover, Piyush | In this work, we explore these states and the transitions between them in a 2D channel from a dynamical systems point of view using the nemato-hydrodynamic equations. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

15 | Liquid to Gel Transitions in 3D Active Networks | Najma, Bibi; Duclos, Guillaume | We are investigating the origin of self-amplifying deformations in 3D active networks composed of cytoskeletal filaments (microtubules), crosslinkers and molecular motors. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

16 | Confinement-induced flow patterns in microtubule-based active fluids | Jarvis, Edward | Here, we demonstrate two flow patterns induced by confinement. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

17 | Active self-organization and division of nematic droplets | Schwarzendahl, Fabian; Weirich, Kimberly; Ronceray, Pierre; Dasbiswas, Kinjal | We present a continuum model that accounts for the activity of myosin motors that slide actin filaments according to their polarity. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

18 | Biomimetic active droplets via enzymatically driven reactions | Testa, Andrea | Here, we introduce a model system to mimic the high crowding and metabolic rates found in living cytoplasm, while maintaining relatively simple compositions. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

19 | Elastically confined polar active filaments | Peterson, Matthew; Hagan, Michael; Baskaran, Aparna | We discuss simple scaling models that reveal the mechanisms underlying these emergent behaviors. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

20 | Dynamics of the cytokinetic ring during cell division | Chatterjee, Mainak; Chatterjee, Arkya; Nandi, Amitabha; Sain, Anirban | Within a continuum gel theory framework, we explore the coupled dynamics of the flow and the degree of alignment in the acto-myosin network (the order parameter). | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

21 | Emerging Periodic Behaviour in three-dimensional Active Nematics | Keogh, Ryan | In this talk, I will describe our recent simulations of three-dimensional active nematic flows in microfluidic channels. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

22 | Active nematics near walls | Doré, Claire; Hardoüin, Jérôme; Ignés-Mullol, Jordi; Sagués, Francesc; Lopez-Leon, Teresa | Here we show that geometrical confinement can be an effective means to achieve control on the dynamical defect configuration of an active system. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

23 | Interfacial dynamics of active microtubule nematics | Adkins, Raymond; Kolvin, Itamar; Witthaus, Sven; You, Zhihong; Marchetti, M Cristina; Dogic, Zvonimir | We developed an experimental system for studying the fluctuations of a soft interface between an active and passive fluid. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

24 | How fluid flows influence defect dynamics in active nematic films | Angheluta, Luiza; Bowick, Mark; Chen, Zhitao; Marchetti, M Cristina | Using the hydrodynamic description of active nematics, we derive how the defect velocity and the orientational dynamics of the defects depend on both fluid flow and flow-induced alignment. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

25 | Understanding mesoscopic consequences of microscopic driving in active nematics | Redford, Steven; Ruijgrok, Paul; Zemsky, Sasha; Molaei, Mehdi; Colen, Jonathan; Vitelli, Vincenzo; Bryant, Zev; Gardel, Margaret | Understanding mesoscopic consequences of microscopic driving in active nematics | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

26 | Confinement of active nematics using virtual boundaries imposed by submerged rectangular structures | Khaladj, Dimitrius; Gharbi, Mohamed Amine; Fraden, Seth; Hirst, Linda | In this work, we report phenomena where we introduce submerged retactangular structures, trenches and via microfabrication. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

27 | Optimal Braiding of Active Nematic Microtubule Defects on the Sphere | Smith, Spencer; Frasier, Ekaterina | In this study, we consider four +1/2 defects on a sphere. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

28 | Role of confinement in stabilizing 3D Active nematic droplets | Alam, Salman; Duclos, Guillaume | We study how the critical radius depends on the activity and nematic elasticity. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

29 | Tunable spontaneous circulation of microtubule-based active fluid confined in a compressed water-in-oil droplet using milli-fluidic devices | Chen, Yen-Chen (Anderson); Jolicoeur, Brock; Chueh, Chih-Che; Wu, Kun-Ta | We found that the formation of circulatory flows depended on the thickness of the oil layer surrounding the droplet, implying that the fluid dynamics between the active fluid within the droplet and the oil outside the droplet were coupled. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

30 | Defect dynamics on active nematic ellipsoids | Clairand, Martina; Mozaffari, Ali; Hardoüin, Jérôme; Zhang, Rui; Ignés-Mullol, Jordi; Sagués, Francesc; De Pablo, Juan; Lopez-Leon, Teresa | In the current work, we build biomimmetic structural units by coating ellipsoidal droplets of smectic liquid crystal with an active nematic obtained from a cytoskeletal gel. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

31 | Active Multi-Particle Collision Dynamics: Collision Operators for Coarse Grained Simulation of Active Nematic Liquid Crystals | Kozhukhov, Timofey; Shendruk, Tyler | In this work, we present collision operators which extend MPCD to active systems. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

32 | Theory of activity-powered interfacial fluctuations | You, Zhihong; Adkins, Raymond; Kolvin, Itamar; Witthaus, Sven; Dogic, Zvonimir; Marchetti, M Cristina | Motivated by experimental studies of the dynamics of active interfaces in microtubule-based active matter, we formulate a hydrodynamic model that describes the non-equilibrium fluctuations of soft interfaces observed in liquid-liquid phase separation. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

33 | Orientational Order of Active Nematic Defects: From Flat Space to Curved Geometries | Nambisan, Jyothishraj; Pearce, Daniel; Giomi, Luca; Fernandez-Nieves, Alberto | In this talk, we explain how we confine this system to flat 2D cells and shapes of varying Gaussian curvature, K, like ellipsoids and tori. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

34 | Design of Defect Dynamics and Flows in Active Liquid Crystal Systems | Zhang, Rui | In this talk, I will discuss several recent experimental and simulation efforts which demonstrate that nucleation and self-propulsion of defects can be manipulated through, for example, spatiotemporal patterning of activity. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

35 | Active Surfaces and Defect-Mediated Morphogenesis | Hoffmann, Ludwig; Giomi, Luca | We present an analytic theory describing the dynamics of an active surface, a two-dimensional deformable surface coupled to an active liquid crystal on the surface. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

36 | Active Cell Divisions Generate Four-Fold Orientational Order in Living Tissue | Cislo, Dillon; Qin, Haodong; Yang, Fengshuo; Bowick, Mark; Streichan, Sebastian | We uncover a four-fold orientationally ordered phase in the crustacean Parhyale hawaiensis and provide a quantitative profile of the tissue dynamics through which this order emerges. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

37 | Liquid-crystal organization of liver tissue | Morales-Navarette, Hernan; Nonaka, Hidenori; Scholich, Andre; Segovia-Miranda, Fabian; de Back, Walter; Meyer, Kirstin; Bogorad, Roman; Kotelianski, Victor; Brusch, Lutz; Kalaidizidis, Yannis; Julicher, Frank; Friedrich, Benjamin; Zerial, Marino | We computationally reconstructed 3D tissue geometry from microscopy images of mouse liver tissue and analyzed it using concepts from biaxial liquid crystal theory. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

38 | No large-scale demixing due to differences in diffusivity in a model for confluent tissues | McCarthy, Erin; Damavandi, Ojan; Manning, M. Lisa | In this study, we ask whether a similar demixing via diffusivity persists in a confluent model for biological tissue. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

39 | A microbial hare and tortoise story: interactions between topological defects in biofilms favour bacteria that move more slowly | Meacock, Oliver; Doostmohammadi, Amin; Foster, Kevin; Yeomans, Julia; Durham, William | Using cell tracking, active nematic theory, and simulations of self-propelled rods, we show that this phenomenon is caused by the behaviour of +1/2 topological defects within the collective. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

40 | Liquid crystal elastomer substrates with predesigned splay and bend to control growth and migration of fibroblast cells | Koizumi, Runa; Rajabi, Mojtaba; Kim, Min-Ho; Lavrentovich, O | This work demonstrates that the active force caused by gradients of the orientational order in tissues triggers polar migration of cells. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

41 | Confinement Discerns Swarmers from Planktonic Bacteria | CHEN, WEIJIE; Tang, Jay | Here, we show that when confined by microwells of specific sizes mounted on an agar surface, novel bacterium Enterobacter sp. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

42 | Topological defects patterns in monolayers of cells | Serra, Francesca | We can thus analyze the alignment of cells in the vicinity of the topological defects under different conditions and observe multiple possible solutions that the cells utilize to adapt to the boundaries. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

43 | Multi-scale multi-species modeling of emergent flows andactive mixing in confined bacterial swarms | Fylling, Cayce; Gopinath, Arvind; theillard, maxime | Here we present a new method for modeling such fluids under confinement. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

44 | Interaction of active droplets with director gradients in nematic liquid crystal | Baza, Hend; Wang, Yuhan; Lavrentovich, O | We use the plasmonic metamasks technique to pattern the director in a one-dimensionally periodic sequence of splay and bend deformations and in the form of defects, such as semi-integer singular disclinations and integer nonsingular disclinations. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

45 | Phase transitions in growing bacteria colonies at liquid interfaces | Langeslay, Blake; Juarez, Gabriel | We present a growing colony of motile E. coli at an oil-water interface in which system evolution can be directly and continuously observed using time-lapse microscopy over eight hours. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

46 | Space and time cluster tomography of active systems | Matoz Fernandez, Daniel; Edblom Dougherty, Sean Patrick; Blackwell, Brendan; Driscoll, Michelle; Kovacs, Istvan; Olvera De La Cruz, Monica | As an alternative, here we propose to perform cluster tomography in space and time by measuring the spatial gap size distribution 3 and inter-event time distribution 4 within particle clusters. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

47 | Global order and lane formation in Microtubule-based active matter | Memarian, Fereshteh; Lopes, Joseph; Hirst, Linda | In this project, we investigated MT-kinesin-based transportation by performing experiments using kinesin motors coupled to a lipid bilayer. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

48 | Active self-organization in actin cytoskeleton | Mirza, Waleed; Corato, Marco de; Sánchez, Alejandro; Arroyo, Marino; Caicoya, Guillermo | In this study, we use a continuum model to explain an out-of-equilibrium self-assembly of such regularly spaced actin bundles. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

49 | Active Matter Self-Organization Simulator (AMSOS): Combining biophysics and mechanics on HPC | Yan, Wen; Lamson, Adam; Ansari, Saad; Betterton, Meredith; Shelley, Michael | We use a new numerical method based on geometrically constrained optimization to guarantee that steric interactions and crosslinker binding forces between filaments are properly and efficiently handled. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

50 | Collective motion of vinegar eels: metachronal waves and induced flows | Peshkov, Anton; McGaffigan, Sonia; Wright, Esteban; Quillen, Alice | We experimentally study the collective motion of the free-swimming nematode Turbatrix Aceti also known as the vinegar eel. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

51 | Rotation and propulsion in 3D active chiral droplets | Negro, Giuseppe; Carenza, Livio Nicola; Gonnella, Giuseppe; Marenduzzo, Davide | Here we consider a system which is inherently chiral and apolar and that can be modelled – in the passive limit – as a Cholesteric Liquid Crystal. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

52 | Dynamical renormalizatin group approach to the collective behaviour of swarms | Cavagna, Andrea; Di Carlo, Luca; Giardina, Irene; Grigera, Tomas; Pisegna, Giulia | We study the critical behavior of a model with nondissipative couplings aimed at describing the collective behavior of natural swarms, using the dynamical renormalization group under a fixed-network approximation. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

53 | Linear stability analysis for asymmetric contraction of the cytokinetic ring | Chatterjee, Arkya; Chatterjee, Mainak; Nandi, Amitabha; Sain, Anirban | In a previous work [1], using a continuum gel theory framework in a weak flow coupling regime, we obtained exact analytical solutions for the quasi-static dynamics of the radially symmetric ring contraction. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

54 | Finite wave number instability interrupts motility-induced phase separation | MA, ZHAN; Ni, Ran | In this work, we formulate a continuum theory for cABPs, and the fluctuation dispersion relation reveals two types of instabilities, i.e. at low torque intensity, type I instability refers to the zero wave number starting unstable mode inducing the MIPS; for large enough torque, type II instability refers to the finite wave number starting unstable modes, which results in the dynamical clustering state and interrupts the conventional MIPS. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

55 | Active cholesterics and smectics are hydrodynamically distinct | Kole, Swapnil; Alexander, Gareth; Ramaswamy, Sriram; Maitra, Ananyo | We show theoretically that active cholesterics, by contrast, display striking signatures of chirality, and are thus qualitatively distinct from smectics, even in their asymptotic long-wavelength dynamics. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

56 | Emergent task-driven cooperation in ant collectives | S, Ganga Prasath; Mandal, Souvik; Giardina, Fabio; Murthy, Venkatesh; Mahadevan, L. | We find that ant collectives that have multiple castes are more efficient than those made of a single caste – and show how the task creates an emergent dynamic division of labor determined by the interaction with the environment that cuts across morphological and physiological distinctions. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

57 | Sparse Identification of Continuum Theories of 2D Active Nematics | Joshi, Chaitanya; Lemma, Linnea; Dogic, Zvonimir; Baskaran, Aparna; Hagan, Michael | In this work, we employ a recently developed method to automatically identify the optimal continuum models, along with their parameters, directly from the spatio-temporal director and velocity data, via sparse fitting of the coarse-grained fields on to generic low order PDEs. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

58 | Strategies for Collective Adaptive Workload Distribution in Varying Work Conditions | Aina, Kehinde; Kuan, Hui-Shun; Goldman, Daniel; Betterton, Meredith | In this work, we model how behavior changes if individual ants optimize an objective in a changing environment. | Session 2: Active Matter and Liquid Crystals in Biological and Bio-Inspired Systems |

59 | Clogging Dynamics of Active and Passive Disks in Complex Environments | Reichhardt, Cynthia; Reichhardt, Charles | We study the directional locking and clogging of passive disks and active run-and-tumble particles interacting with a periodic array of obstacles. | Session 3: Active Matter in Complex Environments |

60 | Breakdown of Ergodicity and Self-Averaging in Polar Flocks with Quenched Disorder | Duan, Yu; Mahault, Benoît; Shi, Xiaqing; Chate, Hugues | We show that quenched disorder affects polar active matter in ways more complex and far-reaching than believed heretofore. | Session 3: Active Matter in Complex Environments |

61 | Life in a tight spot: How bacteria move in porous media | Bhattacharjee, Tapomoy; Amchin, Daniel; Ott, Jenna; Kratz, Felix; Datta, Sujit | To address this gap in knowledge, we combine microscopy, materials fabrication, and microbiology to investigate how E. coli moves in 3D porous media. | Session 3: Active Matter in Complex Environments |

62 | Chemotaxis strategies of bacteria with multiple run modes in complex environments | Alirezaeizanjani, Zahra; Großmann, Robert; Pfeifer, Veronika; Hintsche, Marius; Beta, Carsten | Here, we discuss the chemotactic motion of the bacterium Pseudomonas putida as a model organism [2]. | Session 3: Active Matter in Complex Environments |

63 | Chemotaxis of cargo-carrying self-propelled particles | Vuijk, Hidde; Merlitz, Holger; Lang, Michael; Sharma, Abhinav; Sommer, Jens-Uwe | We show that self-propelled particles display chemotaxis and move into regions of higher activity, if the particles perform work on passive objects, or cargo, to which they are bound. | Session 3: Active Matter in Complex Environments |

64 | Active Matter Commensuration and Frustration Effects on Periodic Substrates | Reichhardt, Charles; Reichhardt, Cynthia | We show that self-driven particles coupled to a periodic obstacle array exhibit novel active matter commensuration effects that are absent in the Brownian limit. | Session 3: Active Matter in Complex Environments |

65 | Trapping in porous microstructure suppresses magnetotactic bacterial transport | Dehkharghani, Amin; Waisbord, Nicolas; Guasto, Jeffrey | Using microfluidic experiments complemented by Langevin simulations, we investigate the effect of porous microstructure and the role of disorder in dictating cell transport. | Session 3: Active Matter in Complex Environments |

66 | Enhanced bacterial motility in colloidal media | Kamdar, Shashank; Shin, Seunghwan; Kim, Youngjun; Francis, Lorraine; Cheng, Xiang | Here, we investigate the motility of E. coli, a flagellated bacterium, in colloidal media. | Session 3: Active Matter in Complex Environments |

67 | Emergence of collective states in suspensions of swimming bacteria in confined geometries | Ghosh, Dipanjan; Cheng, Xiang | Imaging these suspensions using bright-field microscopy, we observe the emergence of three distinct collective states, dependent on the density of bacteria and their swimming velocity: a disordered state, a state characterized by lanes with long-ranged orientational nematic order, and a state of swarming clusters with short-ranged polar order. | Session 3: Active Matter in Complex Environments |

68 | Attractors in disordered active matter and using disorder to control active matter | Peruani, Fernando | Attractors in disordered active matter and using disorder to control active matter | Session 3: Active Matter in Complex Environments |

69 | Separating Motile and Immotile Bacteria through Confined Chemotaxis | CHIU, SHANG-HUAN; Zumpano, Francesca; Lushi, Enkeleida | We will present a model that couples individual run-and-tumble bacterial motion to the chemical gradient while the entire colony is inside a circular confinement. | Session 3: Active Matter in Complex Environments |

70 | Aligning self-propelling particles in confinement | Lushi, Enkeleida; Wall, Katherine; Netznik, Nathaniel; Chiu, Shang-Huan | We present a model for self-propelling aligning particles and look at the collective motion for such swimmers in non-trivial confined domains. | Session 3: Active Matter in Complex Environments |

71 | Bacterial motion and spread in porous media | Almoteri, Yasser; Lushi, Enkeleida | We will present a continuum model that describes the collective dynamics of micro-swimmers such as bacteria through a porous wet material. | Session 3: Active Matter in Complex Environments |

72 | Nonequillibrium shape fluctuations and motility of a droplet enclosing active particles | Kokot, Gasper; Faizi, Hammad; Pradillo, Gerardo; Snezhko, Alexey; Vlahovska, Petia | We study the collective dynamics of the Quincke rollers in soft confinement by enclosing the rollers inside a liquid droplet sandwiched between two surfaces. | Session 3: Active Matter in Complex Environments |

73 | States of active nematics confined to annuli | Zarei, Zahra; Joshi, Chaitanya; . Norton, Michael; Hagan, Michael; Fraden, Seth | In this study, we investigate a 2D active nematic confined in an annulus in which the plus and minus half defects exhibit rich dynamical behavior. | Session 3: Active Matter in Complex Environments |

74 | Optimal navigation strategies for microswimmers on curved manifolds | Piro, Lorenzo; Tang, Evelyn; Golestanian, Ramin | We study this problem by building an analytical formalism for overdamped microswimmers on curved manifolds and arbitrary flows. | Session 3: Active Matter in Complex Environments |

75 | Slip and ypsotaxis of catalytically self-propelled particles near surfaces | Ketzetzi, Stefania; de Graaf, Joost; Kraft, Daniela | In this talk, I will demonstrate that the choice of the substrate material has a strong influence on the microswimmer speed through slippage [1]. | Session 3: Active Matter in Complex Environments |

76 | Spontaneous propulsion of an isotropic colloid in a phase-separating medium | Decayeux, Jeanne; Dahirel, Vincent; Illien, Pierre; Jardat, Marie | We consider an isotropic colloid in a bath of small solute particles. | Session 3: Active Matter in Complex Environments |

77 | Interplay of flow and swimmer’s polar orientation in confined active suspensions | Gulati, Paarth; Shankar, Suraj; Marchetti, M Cristina | We examine the dynamics of a continuum model of confined active bacterial suspensions where flows driven by active stresses are coupled to the tendency of microorganism to propel themselves along their orientation axis. | Session 3: Active Matter in Complex Environments |

78 | Unravel the transport and rotation properties of a squirmer in viscoelastic fluids | Qi, Kai; Corato, Marco de; Pagonabarraga, Ignacio | We study the rotational motion and transport peculiarities of a single swimmer in a viscoelastic fluid via Lattice Boltzmann (LB) simulations. | Session 3: Active Matter in Complex Environments |

79 | Viscoelasticity enables self-organization of bacterial active matter | Liu, Song; Shankar, Suraj; Marchetti, M Cristina; Wu, Yilin | Here we found that tuning the rheological properties of bacterial active fluids enables large-scale spatial and temporal self-organization. | Session 3: Active Matter in Complex Environments |

80 | Effective thermodynamic properties of inertial active microswimmers with alignment interaction | Karmakar, Soumen; Ganesh, Rajaraman | We demonstrate that the alignment dynamics bring in important changes in the effective thermodynamic-like features. | Session 3: Active Matter in Complex Environments |

81 | Dynamic structures in concentrated suspensions of spherical squirmers | Brumley, Douglas; Ishikawa, Takuji; Pedley, Timothy | This work suggests that lubrication theory, based on near-field interactions alone, contains most of the relevant physics, and successfully connects microscale structural features in the suspension with bulk rheological attributes. | Session 3: Active Matter in Complex Environments |

82 | Design principles for transport of vesicles by enclosed active particles | Uplap, Sarvesh; Hagan, Michael; Baskaran, Aparna | In this work, we seek to leverage these phenomena to identify design principles for optimal transport of flexible compartments that enclose active particles. | Session 3: Active Matter in Complex Environments |

83 | The dynamic steady-states of polar self-propelled filaments confined in 2D flexible vesicles | Ma, Yingyou; Baskaran, Aparna; Hagan, Michael | In this work we investigate the relationship between boundary and agent degrees of freedom, by simulating self-propelled semiflexible filaments confined within flexible vesicles in two dimensions. | Session 3: Active Matter in Complex Environments |

84 | Survival time of active Brownian particles on flat curves | Herrera, Pedro; Sandoval, Mario | We find the average time for an overdamped active Brownian particle (OABP) moving on any flat curve with metric, to first reach a given point on the curve (so called mean-first passage time, MFPT). | Session 3: Active Matter in Complex Environments |

85 | Spontaneous demixing of mixed active-passive suspensions | Jeanneret, Raphaël; Williams, Stephen; Tuval, Idan; Polin, Marco | We show that this can be used to induce the system to de-mix spontaneously. | Session 3: Active Matter in Complex Environments |

86 | Interaction of microswimmers with elastic interfaces | Nambiar, Sankalp; Wettlaufer, John | Simulations and theories have shown that microswimmers subject to confinement between parallel rigid boundaries exhibit an excess accumulation near the boundary; in turn, there is an associated enhancement of the active pressure forces on the wall. | Session 3: Active Matter in Complex Environments |

87 | Crowding-Enhanced Diffusion: An Exact Theory for Highly Entangled Self-Propelled Stiff Filaments | Mandal, Suvendu; Kurzthaler, Christina; Franosch, Thomas; Löwen, Hartmut | We predict a scaling theory for the effective diffusivity as a function of the Peclet number and the filament number density. | Session 3: Active Matter in Complex Environments |

88 | Dynamics of entangled active polymers | Tejedor, Andrés; Ramirez, Jorge | In this work, we extend the theory to consider the effect of an active force (drift) that drives the polymer along the tube in a certain direction. | Session 3: Active Matter in Complex Environments |

89 | Can activity in a suspension cause thickening or dethickening? | Ong, Edward; Liarte, Danilo; Griniasty, Itay; Ramaswamy, Meera; Ness, Christopher; Sethna, James; Cohen, Itai | We describe our investigations into the ability of active matter to tune shear thickening and jamming in colloidal suspensions. | Session 3: Active Matter in Complex Environments |

90 | Active colloidal gel | Wei, Mengshi; Ben Zion, Matan Yah; Dauchot, Olivier | At the microscopic level, we look into the short time vibrational dynamics and long-time dynamical correlations and analyze how they depend on the local structure of the gel. | Session 3: Active Matter in Complex Environments |

91 | Doping of a Sedimented Column of Passive Particles | Chen, Moyuan; Morin, Alexandre; Palacci, Jeremie | Here, we explore, via numerical experiments, the effect of active stirring by letting the active particle swim in a density gradient of passive particles, unveiling unexpected dynamics that warrant further investigations. | Session 3: Active Matter in Complex Environments |

92 | What can kinetic Monte Carlo do for active Matter? | Klamser, Juliane; Dauchot, Olivier; Tailleur, Julien | We focus on a kinetic MC version for the simplest kind of active matter: persistently moving, non-polar, interacting particles. | Session 3: Active Matter in Complex Environments |

93 | A reinforcement learning approach to optical control of active matter | Falk, Martin; Murugan, Arvind | Here, we apply a reinforcement learning approach; a reinforcement learning agent identifies time-varying patterns of a scalar activity parameter which induce net transport in a chosen direction in a simulated system of self-propelled spheres. | Session 3: Active Matter in Complex Environments |

94 | Energetics of critical oscillators in active bacterial baths | Roldan, Edgar; Gopal, Ashwin; Ruffo, Stefano | We investigate the nonequilibrium energetics near a critical point of a non-linear driven oscillator immersed in an active bacterial bath. | Session 3: Active Matter in Complex Environments |

95 | Swimming behavior of Paramecium in crowded environments | Escoubet, Nicolas; Brette, Romain; Prevost, Alexis; Pontani, Léa-Laetitia | Here, we report on extensive measurements of the trajectories of P aramecium t etraurelia in engineered environments with and without obstacles. | Session 3: Active Matter in Complex Environments |

96 | Using unsupervised machine learning to detect depinning and clustering transitions in active matter driven across quenched disorder | McDermott, Danielle; Reichhardt, Cynthia; Reichhardt, Charles | Using large-scale numerical simulations of active disks, we demonstrate that a machine learning order parameter can detect depinning transitions and different dynamic flow phases in systems driven far from equilibrium. | Session 3: Active Matter in Complex Environments |

97 | Modeling collective cell migration on substrates with topological defects | Kaiyrbekov, Kurmanbek; Sullivan, Kyle; Camley, Brian | In this work we perform 2D active Monte Carlo simulations to investigate cell arrangements and motion on a substrate patterned with ridges that induce a +1 defect. | Session 3: Active Matter in Complex Environments |

98 | Extracted Active Fluctuations from an Active-Passive Mixture Reveal the Dynamic Class of Active Materials | Shen, Chong; Ou-Yang, H Daniel | We developed a deconvolution method to extract the active fluctuations from that of a mixture. | Session 3: Active Matter in Complex Environments |

99 | Inverse Solidification Induced by Active Janus Particles | Misko, Vyacheslav | In contrast to this classical scenario, we demonstrate [1] a counter-intuitive occurrence of crystalline long-range order in an initially disordered matrix of passive colloidal particles accommodating chemically active defects – photocatalytic Janus particles (JP). | Session 3: Active Matter in Complex Environments |

100 | Slow Diffusion in Active Bath: Theoretical Description of the Activity-induced Energy Landscape | Chaki, Subhasish; Chakrabarti, Rajarshi | In this context, we have studied a prototype model for diffusion in an activity-induced rugged energy landscape to describe the dynamics of a tagged particle in a dense active environment. | Session 3: Active Matter in Complex Environments |

101 | First passage of an active particle in the presence of passive crowders | Biswas, Animesh; Cruz, J. M.; Parmananda, Punit; Das, Dibyendu | We experimentally study the stochastic transport of a self-propelled camphor boat, driven by Marangoni forces, through a crowd of passive paper discs floating on water. | Session 3: Active Matter in Complex Environments |

102 | Teaching Recurrent Neural Networks to Infer Global Temporal Structure from Local Examples | Kim, Jason; Lu, Zhixin; Nozari, Erfan; Pappas, George; Bassett, Danielle | Specifically, we train an RNN with examples of translated, linearly transformed, or pre-bifurcated time series from a chaotic Lorenz system, and find that it learns to continuously interpolate and extrapolate the translation, transformation, and bifurcation of this representation far beyond the training data by changing the control signal. | Session 4: Chaos and Nonlinear Dynamics |

103 | Gated recurrent neural networks 2: a novel first-order chaotic transition | Can, Tankut; Krishnamurthy, Kamesh; Schwab, David | We study the transition to chaos in gated recurrent neural networks (RNNs). | Session 4: Chaos and Nonlinear Dynamics |

104 | Random Boolean Networks – Statistics of Attractors and their Basins of Attraction | Farina, Fabian; Gros, Claudius | Our research focuses on studying the statistics of attractors in different phases of Kauffman networks, primarily how the cycle length influences the size of the basins of attraction. | Session 4: Chaos and Nonlinear Dynamics |

105 | Maximally predictive ensemble dynamics from data | Costa, Antonio Carlos; Ahamed, Tosif; Jordan, David; Stephens, Greg | We leverage the interplay between microscopic variability and macroscopic order, fundamental to statistical physics, to extract predictive coarse-grained dynamics from data. | Session 4: Chaos and Nonlinear Dynamics |

106 | Does scrambling equal chaos? | Xu, Tianrui; Scaffidi, Thomas; Cao, Xiangyu | We present several models for which this bound is tight, i.e., for which scrambling is dominated by the local dynamics around the fixed points. | Session 4: Chaos and Nonlinear Dynamics |

107 | Induced simplicity by multiple delays in delayed differential equations | Tavakoli, Seyedkamyar; Longtin, Andre | These demand different degrees of complexity, so one of the key challenges in the study of these infinite-dimensional dynamical systems is enhancing or decreasing the degree of chaos. | Session 4: Chaos and Nonlinear Dynamics |

108 | Creating novel patterns with spatially localized perturbations in non-linear reaction-diffusion systems | Czak, Jason; Pleimling, Michel | We have shown that selectively applying a time-delayed feedback scheme to only part of a system can generate novel space-time patterns that are not observed when controlling the whole system. | Session 4: Chaos and Nonlinear Dynamics |

109 | The Fermi-Pasta-Ulam-Tsingou Metastability Issue | Reiss, Kevin; Pace, Salvatore; Campbell, David | The issue of the long metastable state in the Fermi-Pasta-Ulam-Tsingou (FPUT) lattice has been a core concern in Statistical Mechanics since its discovery. | Session 4: Chaos and Nonlinear Dynamics |

110 | Quasicriticality: On the brink of phase transitions and chaos in the cortex | Williams-Garcia, Rashid | Quasicriticality: On the brink of phase transitions and chaos in the cortex | Session 4: Chaos and Nonlinear Dynamics |

111 | Transition between chaotic and stochastic universality classes of kinetic roughening | Enrique, Rodriguez-Fernandez; Cuerno, Rodolfo | Working on the Kuramoto-Sivashinsky equation as a paradigm of spatiotemporal chaos (related with the paramount Burgers and Kardar-Parisi-Zhang equations via large-scale asymptotics [1]), we show [2] that the chaotic or stochastic nature of the prevailing fluctuations can also change the universality class while respecting the exponent values, as the PDF is substantially altered. | Session 4: Chaos and Nonlinear Dynamics |

112 | Avalanches and the edge-of-chaos in neuromorphic nanowire networks | Hochstetter, Joel; Zhu, Ruomin; Loeffler, Alon; Diaz-Alvarez, Adrian; Nakayama, Tomonobu; Kuncic, Zdenka | Avalanches and the edge-of-chaos in neuromorphic nanowire networks | Session 4: Chaos and Nonlinear Dynamics |

113 | Generalization of Wigner Time Delay to Sub-Unitary Scattering Systems | Chen, Lei; Fyodorov, Yan; Anlage, Steven | Here we introduce a complex generalization of Wigner time delay by carefully considering the effects of introducing loss into the system. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

114 | Chaos and integrability in non-unitary Kraus quantum circuits | Sá, Lucas; Ribeiro, Pedro; Can, Tankut; Prosen, Tomaz | We do this in two complementary settings: we model chaotic circuits by random Kraus circuits [1] and introduce the Trotterizattion of the Hubbard model at imaginary interaction strength as a paradigmatic integrable non-unitary circuit [2]. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

115 | Private free-space communications based on chaos synchronization of mid-infrared quantum cascade laser light | Spitz, Olivier; Herdt, Andreas; Wu, Jiagui; Wong, Chee Wei; Elsässer, Wolfgang; Grillot, Frédéric | This work demonstrates private free-space communication with quantum cascade lasers (QCLs). | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

116 | Experimental Observation of Chaos and Chimera in rf SQUID Metamaterials | Cai, Jingnan; Tai, Tamin; Anlage, Steven | The quintessential approach to experimentally study rf SQUID metamaterials, global microwave transmission measurements [1], will be employed to observe chaos in rf SQUID metamaterial. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

117 | Chimeras on a seesaw | Zhang, Yuanzhao; Nicolaou, Zachary; Hart, Joseph; Roy, Rajarshi; Motter, Adilson | I will describe a class of new chimera states that is both robust and fragile to noise. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

118 | Dissipative nonequilibrium synchronization of topological edge states via self-oscillation | Wächtler, Christopher; Bastidas, Victor; Schaller, Gernot; Munro, William | By mechanically coupling the oscillators together, we observe synchronized motion at the ends of the chain, which can be explained using a linear stability analysis [2]. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

119 | Nonequilibrium System Behavior Associated with Nonchaotic Barrier | Qiao, Yu; Kou, Rui; Shang, Zhaoru | We report the Monte Carlo simulation result of a Billiard-type model system. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

120 | Spectral Form Factors from EFTs and Hydrodynamics | Winer, Michael | We investigate how the SFF behaves when these symmetries are broken. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

121 | Sloppy Model Analysis near Bifurcations | Anderson, Christian; Transtrum, Mark | We apply sloppy model analysis to several dynamical systems near their bifurcations. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

122 | Towards a renormalization group theory of spontaneous stochasticity in fluid turbulence. | Eyink, Gregory; Bandak, Dmytro | We present numerical simulations that verify our theoretical predictions, and discuss wider applicability of the method to more realistic models of turbulence. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

123 | Rare events in the transition to turbulence in shear flows | Gomé, Sébastien; Tuckerman, Laurette; Barkley, Dwight | We apply a rare event algorithm, adaptative multi-level splitting (AMS), to the deterministic Navier-Stokes equations to study the transition paths and estimate large time scales that are currently out of reach for direct numerical simulations. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

124 | Many-body level statistics of quantum chaos | Liao, Yunxiang; Vikram, Amit; Galitski, Victor | Using a field theoretical approach, we show that this ramp originates from Goldstone modes caused by the spontaneous breakdown of a SU(2) symmetry. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

125 | Ground state and elementary excitations of disordered Gross-Pitaevskii lattices | Kati, Yagmur; Fistul, Mikhail; Cherny, Alexander; Flach, Sergej | We examine the one-dimensional Gross-Pitaevskii lattice at zero temperature in the presence of disorder. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

126 | Emergent universal statistics in nonequilibrium systems with scale selection | Heinonen, Vili; Saenz, Pedro; Slomka, Jonasz; Burns, Keaton; Dunkel, Jorn | Guided by the spectral analysis of field energies, we discovered generic conditions under which symmetry arguments predict emergent universal statistics even far from equilibrium. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

127 | Multiscale differential analysis and modeling of one-dimensional fast acoustic streaming | Orosco, Jeremy; Friend, James | We describe a theoretical approach that affords the user greater generality through its articulation and direct exploitation of the concomitant spatiotemporal scale disparities via multiscale differential operations. | Session 5: Chaos and Nonlinear Dynamics: From Quantum to Fluids |

128 | Homogeneous Crystallization in Cyclically Sheared Frictionless Grains | Jin, Weiwei; O’Hern, Corey; Radin, Charles; Shattuck, Mark; Swinney, Harry | Here we present numerical simulations of frictionless, purely repulsive spheres undergoing cyclic simple shear via Newtonian dynamics with linear viscous drag at fixed vertical load. | Session 6: Collective Behavior in Driven Granular Media |

129 | Sheared Amorphous Packings Display Two Separate Particle Transport Mechanisms | Zheng, Hu; Wang, Dong; Dijksman, Joshua; Barés, Jonathan | We analyze sheared frictional athermal disc packings and show that there exists at least one additional mesoscopic transport mechanism that superimposes itself on top of local diffusive motion. | Session 6: Collective Behavior in Driven Granular Media |

130 | Energy dissipation for two particles in a vertically vibrating channel | Yang, Kai; Olafsen, Jeffrey | Here, we study the energy dissipation of two identical particles free to collide in a vertical channel in a shaken experiment. | Session 6: Collective Behavior in Driven Granular Media |

131 | Elastic-plastic transition induced by small-amplitude cyclic shearing of shear-jammed granular solids | Zhao, Yiqiu; Zhao, Yuchen; Wang, Dong; Zheng, Hu; Chakraborty, Bulbul; Kozlowski, Ryan; Socolar, Joshua | We show experimentally that small amplitude cyclic shear has a dramatic effect on shear jammed granular packings. | Session 6: Collective Behavior in Driven Granular Media |

132 | System size dependence in hydrogel sphere packing relaxation behaviour during cyclic loading | Shakya, Chandan; Van der Gucht, Jasper; Dijksman, Joshua | Here we aim to study the emergence of such effects by experimentally probing the role of system size on the collective mechanics of soft particle packings. | Session 6: Collective Behavior in Driven Granular Media |

133 | Automated Measurement of the Profile of an Avalanching Conical Bead Pile | Anderson, Bennett; Lehman, Susan | The pile is composed of roughly 20 000 steel beads, 3 mm in diameter; we drive the pile by adding one bead at a time to the apex of the pile. | Session 6: Collective Behavior in Driven Granular Media |

134 | The Wave-Driven Oscillator: Granular Matter Levitated by Beating Sound Waves | Abdelaziz, Mohammed; Grier, David | This wave-driven oscillator model can be derived from an acoustokinetic analysis of the forces exerted by beating waves. | Session 6: Collective Behavior in Driven Granular Media |

135 | Rheology of wet granular materials under quasi-static shear | Yoshii, Kiwamu; Otsuki, Michio | In this study, we numerically investigate the rheological property of wet granular materials under quasi-static shear at constant volume. | Session 6: Collective Behavior in Driven Granular Media |

136 | Phase Transitions Affected by Interconversion and Applications to Three Atomistic Models | Longo, Thomas; Anisimov, Mikhail | We present a general description of phase separation driven by spinodal decomposition in a binary fluid with molecular interconversion of the components. | Session 6: Collective Behavior in Driven Granular Media |

137 | New parameters to characterize the nematic transition for rods deposition on 2D lattices | Vogel, Eugenio; Saravia, Gonzalo; Ramirez-Pastor, Antonio; Pasinetti, Marcelo | We tackle the problem of excluded volume deposition of rigid rods of length k unit cells over square lattices. | Session 6: Collective Behavior in Driven Granular Media |

138 | Time series analysis of GDP scaling and dynamical regimes | Young-Taft, Tai; Hastings, Harold | We consider empirically observed GDP scaling over time, finding stable regimes including a high-end power law tail, a middle scaling region where GDP decreases exponentially with rank, and a more rapidly decaying low-end tail, exponentially with rank squared, over the 40 year period from 1980 to date. | Session 7: Complex Networks |

139 | Φ index: A standardized scale-independent citation indicator | Antonoyiannakis, Manolis | We thus propose the Φ index, a standardized citation impact indicator that is analogous to the Z-score in statistics. | Session 7: Complex Networks |

140 | Piecemeal Model Reduction | Francis, Benjamin; Transtrum, Mark; Sarić, Andrija; Stanković, Aleksandar | We discuss piecemeal reduction of a network in the context of the Manifold Boundary Approximation Method (MBAM), including its advantages over other reduction methods. | Session 7: Complex Networks |

141 | Dynamics of a three-ring BZ chemical reaction-diffusion oscillator network | Moustaka, Maria Eleni; Norton, Michael; Simonetti, Christopher; Hunter, Ian; Sheehy, James; Fraden, Seth | In this work we discuss the role that topology has on the network dynamics and compare experiment with two theoretical phase models: the chemical Vanag-Epstein model and the Kuramoto model. | Session 7: Complex Networks |

142 | Point pattern analysis through proximity graphs | Horvát, Szabolcs; Modes, Carl | We develop a new method for characterizing spatial point patterns by first constructing the points’ β-skeleton, then describing its network properties. | Session 7: Complex Networks |

143 | Experimental Equivariant Dynamics in a Network of Reaction-Diffusion Oscillators | Hunter, Ian; Norton, Michael; Chen, Bolun; Simonetti, Chris; Moustaka, Maria Eleni; Touboul, Jonathan; Fraden, Seth | We compared experimental dynamics to theory assuming perfect symmetry and theory incorporating slight heterogeneity. | Session 7: Complex Networks |

144 | Gated Recurrent Neural Networks 1: marginal stability and line attractors | Krishnamurthy, Kamesh; Can, Tankut; Schwab, David | Here, we use DMFT and random matrix theory to study the consequences of gating in RNNs. | Session 7: Complex Networks |

145 | Clusters crossed by a random walk in two-dimensional systems | Frank, Sam; Kovacs, Istvan | Here we consider a random walk with constant, unpredictable turns, leading to an unexplored singular limit that potentially reveals more information about the underlying complex system. | Session 7: Complex Networks |

146 | First-order synchronization transition in a large population of strongly coupled relaxation oscillators | Totz, Jan; Calugaru, Dumitru; Martens, Erik; Engel, Harald | We report on experiments with hundreds of strongly coupled photochemical relaxation oscillators that exhibit a discontinuous synchronization transition with hysteresis, as opposed to the paradigmatic continuous transition expected from the widely used weak coupling theory. | Session 7: Complex Networks |

147 | Random matrix analysis of Multilayer Networks | Raghav, Tanu; Jalan, Sarika | We investigate the spectra of adjacency matrices of multilayer networks under random matrix theory (RMT) framework. | Session 7: Complex Networks |

148 | Novel Pattern Identification Means for Networks and Tabular Data based upon Lie Groups | Johnson, Joseph | We have performed this analysis on networks of internet traffic and on tables of medical patients and their properties (blood …). | Session 7: Complex Networks |

149 | True scale-free networks hidden by finite size effects | Caldarelli, Guido; serafino, matteo; Cimini, Giulio; Maritan, Amos; Rinaldo, Andrea; suweis, Samir; Banavar, Jayanth | Specifically, we analyze by finite-size scaling analysis the datasets of real networks to check whether the purported departures from power law behavior are due to the finiteness of sample size. | Session 7: Complex Networks |

150 | Reconstructing neuronal networks from multi-electrode array recordings | Ching, Emily S.C. | We present a method that estimates directed effective connectivity and synaptic weights of cortical neuronal cultures from the recordings of a multielectrode array. | Session 8: Complex Networks and Human Behaviour |

151 | Human information processing in complex networks | Lynn, Christopher; Papadopoulos, Lia; 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 8: Complex Networks and Human Behaviour |

152 | Optimizing Network Structure in a Model of Human Aging | Stubbings, Garrett; Rutenberg, Andrew | Our network model of aging represents aspects of human health as nodes in a network. | Session 8: Complex Networks and Human Behaviour |

153 | Interlayer Hebbian Plasticity Induces First-OrderTransition in Multiplex Networks | Jalan, Sarika | Here, we investigate the impact of adaptive inter-layer processes on intra-layer synchronization in multiplex networks. | Session 8: Complex Networks and Human Behaviour |

154 | When it is more powerful to infer than to see | Qian, William; Lynn, Christopher; Klishin, Andrei; Bassett, Danielle | Understanding how people process and learn information remains an elusive goal in the study of human statistical learning. | Session 8: Complex Networks and Human Behaviour |

155 | Free Energy Model of the Human Perception of a Starry Sky | David, Sophia; Smith, Lindsay; Lynn, Christopher; Bassett, Lee; Bassett, Danielle | To derive predicted constellations from the random walk, we employ a free energy model of mental calculations that maximizes the accuracy of perception while minimizing computational complexity. | Session 8: Complex Networks and Human Behaviour |

156 | Predicting the emergence of spatial self-organization using dynamic networks | van de Kamp, Carsten; Dadunashvili, George; Dubbeldam, Johan; Idema, Timon | Instead, we use the framework of dynamic networks to directly characterize the state of agents and their mutual influence. | Session 8: Complex Networks and Human Behaviour |

157 | Convergence towards an Erdös-Rényi graph structure in network contraction processes | Katzav, Eytan; Biham, Ofer; Tishby, Ido | The ultimate failure, taking place when the network fragments into disconnected components was studied extensively using percolation theory. | Session 8: Complex Networks and Human Behaviour |

158 | The relationship between structure and control in multiplex networks | Srivastava, Pragya; Pasqualetti, Fabio; Bassett, Danielle | Here, we characterize the structure of multiplex networks in terms of the eigenspectra of individual layers and the alignment between their eigenmodes, and determine the dependence of control energy on these structural parameters. | Session 8: Complex Networks and Human Behaviour |

159 | Envy in competitive societies induces a class-stratification transition | Roskothen, Carolin; Gros, Claudius | We develop a game theoretical formulation which includes choice, competition and envy [fn] C. Gros, Royal Society Open Science, 7:200411, 2020. | Session 8: Complex Networks and Human Behaviour |

160 | Social-Acceleration observed in Music and Literature Charts | Schneider, Lukas; Gros, Claudius | Using an information theoretical approach we hypothesize that this evolution is due to shortening of the universal time scale of opinion formation. | Session 8: Complex Networks and Human Behaviour |

161 | Curious exploration in complex environments | Stern, Menachem; De Mulatier, Clelia; Fleig, Philipp; Balasubramanian, Vijay | We approach the question of curiosity by comparing reinforcement learning agents using different phenomenological models of curiosity in environments of controlled complexity. | Session 8: Complex Networks and Human Behaviour |

162 | Cooperative jam mitigation in single-lane traffic | Raju, Vidya; S, Ganga Prasath; Mahadevan, L. | We map the regimes in the phase-space and propose a mean-field description of the dynamics through Toner-Tu equations to capture the observed macroscopic behavior. | Session 8: Complex Networks and Human Behaviour |

163 | Avoidance, Adjacency, and Association: Statistical Mechanics Insight into Distributed Systems Design | Klishin, Andrei; Singer, David; Van Anders, Greg | Here, we show that statistical physics reveals patterns of avoidance, adjacency, and association across sets of complex, distributed system design solutions. | Session 8: Complex Networks and Human Behaviour |

164 | Doing “Statistical Mechanics” with Big Data: Understanding Protein Allostery | Liu, Andrea | Data science methods are designed for dimensional reduction, so they are a natural tool to turn to when statistical mechanics fails. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

165 | Simulated annealing with adaptive cooling rates | Karabin, Mariia; Stuart, Steven | Here we present the molecular dynamics-based adaptive-cooling simulated annealing (ACSA) method, where the cooling rates are adaptively adjusted during the optimization based on the instantaneous values of the heat capacity. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

166 | Machine Learning Regression of Quantum Many-Body Operator Dynamics | Reyes, Justin; Dhara, Sayandip; Mucciolo, Eduardo | We develop a machine learning method which determines the long time dynamics by performing a regression over expectation values calculated exactly over short time intervals. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

167 | Why is uncertainty quantification of sloppy models challenging? | Kurniawan, Yonatan; Transtrum, Mark; Petrie, Cody; Williams, Kinamo | I demonstrate that these models have infinite uncertainty in some of their parameters and discuss challenges this poses for uncertainty quantification in sloppy models. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

168 | Confinement Potential Inside Rare Gas Plated MCM-41 Nanopores | Nichols, Nathan; Prisk, Timothy; Warren, Garfield; Sokol, Paul; Vanegas, Juan; Del Maestro, Adrian | Motivated by recent experimental and simulation results reporting on the use of rare gas pre-plated nanoporous materials to explore one dimensional superfluidity, we describe an approach towards constructing a microscopically accurate description of the confinement potential in these systems. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

169 | Method of the matrix permanent in the theory of critical phenomena: Asymptotics for the large-size power-law circulant matrices | Shannon, William; Kocharovsky, Vladimir; Tarasov, Sergey; Kocharovsky, Vitaly | In this talk, we present our recent results in this direction for the case of power-law circulant matrices, including comparison with the known results on a random-phase approximation, exponential-law circulant matrices, and McCullagh asymptotics for doubly-stochastic matrices with a moderate variation of entries. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

170 | Real-space renormalization group transformation from CNN and maximum likelihood estimation | Chan, Chak Ming; DING, WANG; Tian, Liang; Tang, Lei-Han | We report a novel scheme to perform real-space renormalization group (RG) transformation based on supervised machine learning. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

171 | 2D vortex fluctuations above the critical Kosterlitz-Thouless transition temperature | Fan, Mingyu; Galdamez, Karla; McDowell, Charlie; Williams, Gary | 2D vortex fluctuations above the critical Kosterlitz-Thouless transition temperature | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

172 | New Developments of Variationally Enhanced Sampling | Valsson, Omar | In this talk, I will present two new developments of VES. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

173 | Coarse-graining of polyisoprene melts using inverse Monte Carlo and local density potentials | Shahidi, Nobahar; Chazirakis, Antonis; Harmandaris, Vagelis; Doxastakis, Manolis | We introduce the distribution of nearest-neighbors as an additional multi-body order parameter to improve the representability of the coarse-grain model. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

174 | 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 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

175 | Spin dynamics simulations on the Surface of a nanoscale Heisenberg antiferromagnet | Hou, Zhuofei; Landau, David | In this study, we applied the same simulation techniques to the nanoscale classical Heisenberg antiferromagnet we studied before for studying spin dynamic behavior on the surfaces of a nanoscale antiferromagnet. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

176 | Finding free energy barriers for complex mesophases | Mukhtyar, Ankita; Escobedo, Fernando | In this paper we attempt to evaluate the nucleation pathway for the disorder to gyroid phase transition, simulated using molecular / dissipative particle dynamics, that to the best of our knowledge still remains largely unknown. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

177 | 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 = 0.587 597 00(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 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

178 | Deriving LBM Collision Operator using the Coarse-Graining MDLG Approach | Pachalieva, Aleksandra; Wagner, Alexander | In this talk, we present the MDLG analysis to derive the LBM collision operator from an underlying MD simulation of a system undergoing a simple shear flow. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

179 | Multithermal-multibaric ensembles from collective-variables-based enhanced sampling methods | Piaggi, Pablo; Invernizzi, Michele; Gartner, Thomas; Niu, Haiyang; Parrinello, Michele | We will discuss two methods to generate multithermal-multibaric ensembles using the potential energy and the volume as collective variables to construct a bias potential. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

180 | Non-Reversible Monte Carlo Simulations of Long-Range Interacting Molecular Systems | Hoellmer, Philipp; Qin, Liang; Faulkner, Michael; Maggs, A. C.; Krauth, Werner | We present current progress of developing non-reversible Markov-chain Monte Carlo (MCMC) algorithms for efficient simulations of atom-based models of molecules that include long-ranged interactions. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

181 | 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. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

182 | Parallel multicanonical simulations applied to equilibrium cluster formation | Zierenberg, Johannes | We will present in detail this parallel scheme for CPU and GPU architectures and show its close-to-perfect scaling up to 10k threads. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

183 | Error bars for Markov chain Monte Carlo data streams | Moussa, Jonathan | In this talk, we present a hierarchical analysis method combining block averaging and autocorrelation summation that efficiently determines the equilibration and truncation points to a predetermined relative precision. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

184 | Algorithm for the replica redistribution for population annealing method | Russkov, Alexander; Chulkevich, Roman; Shchur, Lev | We present an implementation of the algorithm on the hybrid program architecture combining CUDA and MPI. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

185 | Simulating Frustrated Spin Systems with Memory Dynamics | Pei, Yan Ru; Di Ventra, Massimiliano | We propose a theoretical model for studying the long-range memory, and a numerical method for its simulation. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

186 | A coarse-grained approach to modeling Brownian motion in multi-dimensional rough potentials | Gray, Thomas; Yong, Ee Hou | Extending Zwanzig’s formalism to higher dimensions, we derive an expression for the effective diffusion coefficient. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

187 | 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 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

188 | Calculating Transport Coefficients from Biased Molecular Dynamics | Cortes Morales, Ernesto Carlos; Whitmer, Jonathan | We explore useful parameters for determining the cutoff time for the short simulations, and methods by which the weight can be efficiently computed. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

189 | Smart random walks for accelerated Monte Carlo simulations | Li, Ying Wai; Farris, Alfred; Eisenbach, Markus | Combining these two methods, we have observed speedups ranging from 1-3 orders of magnitude compared to existing flat-histogram methods such as Wang-Landau sampling and multicanonical sampling, depending on the problem of interest. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

190 | 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 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

191 | Dissipative dynamics in isolated quantum spin chains after a local quench | Wu, Yantao | We provide numerical evidence that after a local quench in an isolated infinite quantum spin chain, the quantum state locally relaxes to the ground state of the post-quenched Hamiltonian, i.e. dissipates. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

192 | Loop-Cluster Coupling and Algorithm for Classical Statistical Models | Zhang, Lei; Michel, Manon; Elci, Eren; Deng, Youjin | We introduce a Loop-Cluster (LC) joint model of bond-occupation variables interacting with q-flow variables, and formulate a LC algorithm that is found to be in the same dynamical universality as the celebrated Swendsen-Wang algorithm. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

193 | Relevance in the Renormalization Group and in Information Theory | Gordon, Amit; Banerjee, Aditya; Koch-Janusz, Maciej; Ringel, Zohar | We show analytically that for statistical physical systems described by a field theory the "relevant" degrees of freedom found using IB compression indeed correspond to primary operators with the lowest scaling dimensions. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

194 | Local Pressure for Strongly Inhomogeneous states | Dufty, James; Wrighton, Jeffrey; Luo, Kai | Local Pressure for Strongly Inhomogeneous states | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

195 | Scaling of the Random–Field Ising Model in Two Dimensions | Fytas, Nikolaos; Mainou, Argyro; Weigel, Martin | Being one of the simplest models of magnetic systems with quenched disorder, the random-field Ising model shows surprisingly rich critical behavior. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

196 | Time-Splitting Numerical Simulator of Nonstandard GPEs and Applications | Truong, Syrian | We aim to develop and release a time-splitting numerical simulator of noisy driven-dissipative Gross-Pitaevskii equations (GPE), for use in general non-Hermitian problems. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

197 | Theory of Non-Interacting Fermions and Bosons in the Canonical Ensemble | Barghathi, Hatem; Yu, Jiangyong; Del Maestro, Adrian | We present a self-contained theory for the exact calculation of particle number counting statistics of non-interacting indistinguishable particles in the canonical ensemble. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

198 | RMT Spectral Distribution Crossovers in Random Spin Chains | KUNDU, DEBOJYOTI; Kumar, Santosh; Gupta, Subhra | We study spectral properties and spectral-crossovers between different random matrix ensembles (Poissonian, GOE, GUE) in correlated spin chain systems, in the presence of random magnetic fields, and scalar spin-chirality term, as a function of competing Hamiltonian parameters. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

199 | Trapping in Growing Self-Avoiding Walks: Numerical and Exact Results | Klotz, Alexander; Hooper, Wyatt; Sullivan, Everett | Here we consider growing self-avoiding walks (GSAWs) on a lattice, which grow by taking their Nth step into a randomly chosen unoccupied site adjacent to the N-1th step. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

200 | "Temperature scaling" in quantum phase transitions with cluster-update quantum Monte Carlo | Nonomura, Yoshihiko; Tomita, Yusuke | In the present talk, we generalize this scheme to quantum phase transitions. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

201 | Density and other spectral properties of Muttalib-Borodin ensembles and gamma-ensembles in Random Matrix Theory | Alam, Kazi; Yadav, Swapnil; Muttalib, Khandker | A simple method to calculate density, two-point correlation function, and other statistical quantities of interest for a class of random matrix ensembles is presented. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

202 | Generalized Muttalib-Borodin ensembles, Laguerre β-ensembles and effective potentials | Yadav, Swapnil; Alam, Kazi; Muttalib, Khandker; Wang, Dong | We find that the effective potentials computed for a range of parameter of hard-edge γ–ensembles with standard monotonic potentials show increasing non-monotonic behavior near the origin as γ is decreased (or disorder is increased) systematically. | Session 9: Computational Methods for Statistical Mechanics: Advances and Applications – |

203 | Curvature-mediated feedback leads to turbulence of growing interfaces | Würthner, Laeschkir; Frey, Erwin | Motivated by this work, we have studied the dynamics of a growing interface driven by the local density of membrane proteins. | Session 10: Control of Noisy Non-Linear Dynamical Systems |

204 | Phase Diagram and Interfacial Instabilities in the Driven Widom-Rowlinson Lattice Gas | Dickman, Ronald; Zia, Royce; Lavrentovich, Maxim; Chate, Hugues | These are now eliminated using a new method in which particles are slowly added to the evolving system, allowing a pattern of the preferred wavelength to emerge spontaneously. | Session 10: Control of Noisy Non-Linear Dynamical Systems |

205 | Microemulsions in the driven Widom-Rowlinson lattice gas | Lavrentovich, Maxim; Dickman, Ronald; Zia, Royce | We study this model at low particle densities in two- and three-dimensions, where we find a disordered phase with a characteristic length scale (similar to a “microemulsion”). | Session 10: Control of Noisy Non-Linear Dynamical Systems |

206 | Strong current response to slow modulation: A metabolic case-study | Forastiere, Danilo; Falasco, Gianmaria; Esposito, Massimiliano | We study the current response to periodic driving of a crucial biochemical reaction network, namely, substrate inhibition. | Session 10: Control of Noisy Non-Linear Dynamical Systems |

207 | Controlling the velocity of DNA base in nanopores using flossing | Mahalik, Jyoti; Muthukumar, Murugappan | We propose a DNA flossing technique for controlling the DNA base motion inside the nanopore and we demonstrate this using Langevin dynamics simulation. | Session 10: Control of Noisy Non-Linear Dynamical Systems |

208 | Combining Statistical Thermodynamics, Control Theory and Reinforement Learning to Predict Regulation and Post-translational Control of Metabolism | Britton, Samuel; Cannon, William; Alber, Mark | We use two approaches to predict enzyme regulation policies and investigate the hypothesis that regulation is driven by the need to maintain the solvent capacity in the cell. | Session 10: Control of Noisy Non-Linear Dynamical Systems |

209 | No synchronization for coupled oscillators on small-world networks | Liu Rodrigues, Kevin; Dickman, Ronald | In this work, we show that one such model may fail to achieve synchronization even when the dynamics occur on networks with non-local coupling and even long-range interactions. | Session 10: Control of Noisy Non-Linear Dynamical Systems |

210 | Recent Advances in the Understanding of Dynamic Phase Transitions in Ferromagnetic Thin Films | Quintana, Mikel; Marín Ramírez, Juan; Berger, Andreas | Here, we present some of our most recent experimental results, specifically related to our studies of the vector nature of Q in thin films with uniaxial anisotropy, as well as work on the general definition of the conjugate field of Q. [1] P. Riego, P. Vavassori, A. Berger, Physica B 549, 13 (2018) | Session 10: Control of Noisy Non-Linear Dynamical Systems |

211 | Barrier-Controlled Non-Equilibrium Criticality in Random Organization | Lei, Qun-li; Hu, Hao; Ni, Ran | A mean-field theory is proposed to explain this phenomenon, which suggests that the transition at finite thermal noise belongs to the Ising universality. | Session 10: Control of Noisy Non-Linear Dynamical Systems |

212 | Control of the surface roughness during a growth process described by the Kardar-Parisi-Zhang equation | Priyanka, Priyanka; Pleimling, Michel; Tauber, Uwe | Control theory is a widely used tool in engineering to develop controlled, stable models of dynamical systems. | Session 10: Control of Noisy Non-Linear Dynamical Systems |

213 | Ensemble reservoir equivalence in driven lattice gases | Calazans, Leonardo; Dickman, Ronald | We consider NESS in the driven lattice gas with nearest-neighbor exclusion. | Session 10: Control of Noisy Non-Linear Dynamical Systems |

214 | Dynamical Transitions in Aperiodically Kicked Tight Binding Models | Ravindranath, Vikram; M. S., Santhanam | Considering a 2-band model, we have found that this behaviour is related to the existence of flat bands, and the mechanism for asymptotic diffusion is similar to that of a classical random walk. | Session 10: Control of Noisy Non-Linear Dynamical Systems |

215 | Field-theoretic approach to study a class of reaction-diffusion models | Sharma, Prashant | We present a field-theoretic derivation of a class of models of reaction-diffusion systems of which the Gray-Scott model is a special case. | Session 10: Control of Noisy Non-Linear Dynamical Systems |

216 | DSOFT/GSNP Short Course: Introduction to Topological Data Analysis | Algebraic topology gives a framework to rigorously and quantitatively describe the global structure of a space, and the idea of topological data analysis (TDA) allows one to do this with empirical data (from either models or experiments), rather than simply with abstract mathematical spaces. | Session 11: DSOFT/GSNP Short Course: Introduction to Topological Data Analysis | |

217 | The role of deformability in determining mobility in thermal and active liquids | Cheng, Yuxuan; Treado, John; Wang, Dong; Shattuck, Mark; O’Hern, Corey | To understand and predict the mobility of non-spherical, deformable particles, we compare the mobility of rigid versus deformable, non-spherical particles driven by active forces and thermal fluctuations, which allows us to disentangle the roles of shape and deformability in determining particle transport. | Session 12: Deformable Particles in Soft Materials |

218 | Adhesion tunes the elasto-plastic response of biomimetic emulsions under mechanical constraint. | Golovkova, Iaroslava; Montel, Lorraine; Wandersman, Elie; Prevost, Alexis; Bertrand, Thibault; Pontani, Léa-Laetitia | We study how cell-cell adhesion controls the behavior of tissues under mechanical constraint. | Session 12: Deformable Particles in Soft Materials |

219 | Vibrational Modes in Packings of Deformable Particles | Wang, Dong | In this work, we numerically study the vibrational modes in packings of deformable particles in two dimensions, as a function of the shape parameter A = p 2/(4πa), where p is the perimeter and a is the area of the particle. | Session 12: Deformable Particles in Soft Materials |

220 | From adaptive self-assembly to avalanching instabilities in driven soft-granular matter. | Guzowski, Jan; Buda, Robert; Costantini, Marco; Garstecki, Piotr; Stone, Howard | We use microfluidics to generate monodisperse droplet structures and superstructures such as linear chains, multi-chains or chains with recurring folds adapting to the external flow. | Session 12: Deformable Particles in Soft Materials |

221 | Soft particles facilitate flow of rigid particles in a 2-D hopper | Alborzi, Saeed; Hashmi, Sara | We study the flow of binary mixtures of particles in a two-dimensional hopper, mixing rigid plastic spheres with elastic, deformable ones. | Session 12: Deformable Particles in Soft Materials |

222 | Gelation of cells during the development of leaf and flower mesophyll tissue | Treado, John | We investigate the effect of cell deformability and cell-cell adhesion on how maximally porous a system can become before losing rigidity. | Session 12: Deformable Particles in Soft Materials |

223 | Clogging of soft particles in 2D hoppers | Tao, Ran; Weeks, Eric | We experimentally study the flow of soft particles through quasi-two-dimensional hoppers. | Session 12: Deformable Particles in Soft Materials |

224 | Solid-liquid transitions in active multi-phase field models of biological tissue | Hopkins, Austin; Chiang, Michael; Loewe, Benjamin; Marenduzzo, Davide; Marchetti, M Cristina | More recently, multi-phase field models of cells as motile and deformable particles have been proposed as versatile tools that can describe both confluent and non-confluent tissue, while independently varying cell density, cell motility and the nature of cell-cell interactions. | Session 12: Deformable Particles in Soft Materials |

225 | Motility-induced phase separation of deformable particles | Loewe, Benjamin; Marenduzzo, Davide; Marchetti, M. Cristina | In this work, we employ a multi-phase field model to study MIPS in assemblies of deformable particles in two dimensions and quantify how deformability alters the phase diagram. | Session 12: Deformable Particles in Soft Materials |

226 | Free energy calculations on the stability of polymer-grafted nanoparticle superlattices | Li, Dingning; Zhang, Kai | We apply molecular dynamics simulation to compute the free energy cost of compressing isolated spherical PGNPs into Wigner-Seitz polyhedrons that can tile three-dimensional space. | Session 12: Deformable Particles in Soft Materials |

227 | Hydrodynamic Interactions in Topologically Linked Ring Polymers | Rauscher, Phillip; Rowan, Stuart; De Pablo, Juan | We show that the symmetry of ring polymers leads to a hydrodynamic decoupling of ring dynamics. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

228 | Dynamics and rheology of bidisperse polymer melts through a simplified molecular model | Adeyemi, Oluseye; Xi, Li | In this study, we focused on bidisperse polymers of different compositions as an idealized model system and used a coarse-grained molecular model to explore their dynamics and rheology. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

229 | Recovery of stress overshoot under orthogonal shear after interrupted shear flow | Galvani, Marco; Olmsted, Peter; Robbins, Mark | Previous experimental work shows that melts subjected to interrupted shear flows exhibit a smaller overshoot when sheared again after allowing for some relaxation. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

230 | Predicting the plateau modulus from molecular parameters of conjugated polymers | Fenton, Abigail; Gomez, Enrique; Colby, Ralph | Using small angle neutron scattering, oscillatory shear rheology, in-situ polarized optical rheology, along with the freely rotating chain model, we have shown that twelve polymers with aromatic backbones, including conjugated polymers, populate a large part of this gap. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

231 | Model for flow-induced crystallization of industrial-grade LLDPEs | Andreev, Marat; Nicholson, David; Rutledge, Gregory; Kotula, Anthony; Kearns, Kenneth; Moore, Jonathan; den Doelder, Jaap | In this work, we combine information from atomistic molecular dynamics simulations, mesoscale slip-link modeling, rheo-Raman measurements and fast scanning chip calorimetry to build a model for flowing LLDPE melts undergoing crystallization. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

232 | Solvent-induced Collapse Transition in Kinetoplast DNA sheets | Holling, Dave; Klotz, Alexander | We aimed to observe the 2D version of the coil-globule transition by measuring diffusivity and radius of gyration of kinetoplasts as a function of ethanol concentration. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

233 | Dynamic transistion to isostaticity induces complex stress response in DNA nanostar networks | Conrad, Nathaniel; Bevier, Alexander; Fygenson, Deborah; Saleh, Omar | Here, we perform oscillatory rheology on networks made of 6-armed DNA nanostars (NS) whose designable interactions allow us to investigate the role of cross-linker lifetime on the complex stress response. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

234 | Local Hydrodynamics and Chain Architecture in Flowing Semidilute Polymer Solutions | Young, Charles; Sing, Charles | We developed an iterative conformational-averaging (CA) method for performing these calculations, circumventing a number of computational bottlenecks to enable the large-scale simulation of polymer solutions in flow. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

235 | Macromolecular engineering of pinching dynamics, extensional rheology and processability | Sharma, Vivek; Dinic, Jelena; Jimenez, Leidy; Martinez, Carina | We distill out how length, diameter and number of Kuhn segments affects macromolecular dynamics, rheological response and processability, and infer that the ratio of packing length to Kuhn length, a parameter we term as segmental dissymmetry, helps to hone in on the contrast related to flexibility and extensibility, that are determined by chemical structure for macromolecules comparable molecular weight. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

236 | Dynamics and Rheology of Polymers and Polyelectrolytes | Vermant, Jan | Dynamics and Rheology of Polymers and Polyelectrolytes | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

237 | Heterogeneous Rouse Model for Polymer Dynamics and Linear Rheology in the Time-Temperature-Superposition-Breakdown Regime | Simmons, David; Yu, Peijing | The Heterogeneous Rouse Model predicts a compression of the Rouse regime in complex and relaxation moduli with increasing dynamic heterogeneity at lower temperatures. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

238 | Crossover from Rouse to entangled polyisoprene dynamics: a multiscale simulation approach | Li, Wei; Behbahani, Alireza; Burkhart, Craig; Polinska, Patrycja; Harmandaris, Vagelis; Doxastakis, Manolis | The crossover from the low molecular limit described by the Rouse model to dynamics prescribed by entanglements has long been the subject of extensive research with significant challenges present. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

239 | Crossover from Rouse to Reptation Dynamics in Salt-Free Polyelectrolyte Complex Coacervates | Yu, Boyuan; Rauscher, Phillip; Jackson, Nicholas; Rumyantsev, Artem; De Pablo, Juan | A central question is whether the classical Rouse and reptation models can be applied to these systems. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

240 | Chain models for the simulation of polyelectrolytes in combination of flow and electric fields | Gulati, Shreyash; Setaro, Angelo C.; Underhill, Patrick | We use chain models to overcome this problem. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

241 | Fast Dynamics and its Role in Conductivity of Polymerized Ionic Liquids | bocharova, Vera; Genix, Anne-Caroline; Osti, Naresh; Mamontov, Eugene; Sokolov, Alexei | In this work, we provide new insights into the roles of various microscopic parameters controlling ion transport in these polymers, which are crucial for their rational design and practical applications. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

242 | Shear Response of THF Swollen Ionic Polymer Melts: Molecular Dynamics Simulations Study | Meedin, Shalika; Senanayake, Manjula; Mohottalalage, Supun; Kosgallana, Chathurika; Perahia, Dvora; Grest, Gary | We find that the shear viscosity is higher for the polyelectrolyte regime compared with ionomer one, due to large continuous ionic assemblies in polyelectrolytes. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

243 | Dynamics of liquid coacervates: Higher charged density polyelectrolytes are in entangled semiflexible regime | Aponte-Rivera, Christian; Rubinstein, Michael | Here, we consider the case in which the electrostatic persistence length of the high charge density polymer is larger than the diameter of a confining tube by low charge density polymers. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

244 | A critical Assessment of Linear Viscoelasticity and Time-Temperature-Salt and Other Superpositions in Polyelectrolyte Coacervates | Larson, Ronald; Liu, Ying; Li, Huiling | A critical Assessment of Linear Viscoelasticity and Time-Temperature-Salt and Other Superpositions in Polyelectrolyte Coacervates | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

245 | Molecular Basis for Elasticity and Viscoelasticity in Chitosan-Surfactant Hydrogels | Gotla, Suhas; Matysiak, Silvina | In this work, we employ multiscale molecular dynamics to identify the molecular phenomena that underpin these distinct mechanical behaviours. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

246 | Nonlinear Elongation Flows Effects on Aggregation in Associating Polymer Melts | Mohottalalage, Supun; Senanayake, Manjula; O’Connor, Thomas; Grest, Gary; Perahia, Dvora | Here, we use molecular dynamics (MD) simulations of bead-spring chains to identify how associating groups alter the structure and dynamics of linear polymer melts in uniaxial elongation flows. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

247 | Determination of the Number-Average Molecular Weight of Polyelectrolytes | Han, Aijie; Uppala, Shravan; Madsen, Louis; Colby, Ralph | We developed four methods using the chain dynamics in the semidilute unentangled regime to determine the number-average molecular weight (M n) of polyelectrolytes. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

248 | Rheology and Pinching Dynamics of Polyelectrolyte Solutions | Jimenez, Leidy; Martinez, Carina; Dinic, Jelena; Sharma, Vivek | Here focus on the characterization of capillary thinning and pinch-off dynamics, extensional rheology and printability of two model systems: sodium (polystyrene sulfonate) and poly(acrylic acid) by using dripping-onto-substrate (DoS) rheometry technique. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

249 | Effect of counterion and solvent type on the scattering and rheology of polyelectrolyte solutions | Gulati, Anish; Lopez, Carlos; Richtering, Walter | Here we use Small-Angle neutron Scattering (SANS) and rheology to study solutions of carboxymethyl cellulose (CMC) with different counterions of varying size and hydrophobicity in aqueous and organic media. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

250 | 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 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

251 | Dynamic mechanical response of solid polyelectrolyte complexes at varying temperature, humidity and pH | Lalwani, Suvesh; Lutkenhaus, Jodie | Here, we describe the dynamic mechanical behavior of PAA-PAH solid PECs at different pH values, hydration and temperature. | Session 13: Dynamics and Rheology of Polymers and Polyelectrolytes |

252 | Comparing Stockmayer Fluid Simulation and Experiment: Ion Solvation with Permanent Dipoles | Shock, Cameron; Nakamura, Issei; Frischknecht, Amalie; Stevens, Mark | In this study, we developed a coarse-grained Stockmayer fluid simulation to address this issue, treating solvent molecules as soft-core spheres with permanent dipole moments. | Session 14: Electric Polarization in Polymer Physics |

253 | Polymer blends with enhanced dielectric properties enabled by rationally designed chain-packing behavior: a computational study | Zhang, Bing; Lu, Wenchang; Chen, Xin; Zhang, Qiming; Bernholc, Jerry | In this work, we use molecular dynamics with classical force fields to simulate polymer blends with different morphologies, including extended and coiled chains. | Session 14: Electric Polarization in Polymer Physics |

254 | 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 14: Electric Polarization in Polymer Physics |

255 | Dynamics of a Single Polyampholyte Chain | Silmore, Kevin; Kumar, Rajeev | Here, we develop a theory for the dynamic structure factor for a single polyampholyte chain under external electric fields and under weak internal fluctuations. | Session 14: Electric Polarization in Polymer Physics |

256 | Density functional theory for charge regulation of inhomogeneous weak polyelectrolytes | Gallegos, Alejandro; Wu, Jianzhong | In this talk, we present a new theoretical framework for weak polyelectrolytes by coupling a molecular thermodynamic model for chemical reactions with the polymer DFT. | Session 14: Electric Polarization in Polymer Physics |

257 | Charge transport of nano-confined ionic liquids in ion gels | Bandegi, Alireza; kim, Kyungtae; Foudazi, Reza | In this study, nanostructured ion gels are prepared through polymerization of lyotropic liquid crystals (LLCs) made of monomers (styrene and divinylbenzene), ionic liquid ([EMIM][BF 4]), and amphiphilic block copolymers. | Session 14: Electric Polarization in Polymer Physics |

258 | Highly mobile oriented amorphous fraction in semicrystalline ferroelectric polymers and its unique contribution to electrostrictive and piezoelectric properties | Zhu, Lei; Huang, Yanfei; Rui, Guanchun | Highly mobile oriented amorphous fraction in semicrystalline ferroelectric polymers and its unique contribution to electrostrictive and piezoelectric properties | Session 14: Electric Polarization in Polymer Physics |

259 | Dynamics of Solid Polymer Electrolytes with High Dielectric Constants | DeJonge, Danielle; Cheng, Shiwang; Ferrier, Robert | Dynamics of Solid Polymer Electrolytes with High Dielectric Constants | Session 14: Electric Polarization in Polymer Physics |

260 | Direct mapping of local polar distortion in relaxor ferroelectric polymers by using atomic force microscope infrared-spectroscopy | LIU, YANG; Zhang, Bing; Xu, Wenhan; Haibibu, Aziguli; Han, Zhubing; Lu, Wenchang; Bernholc, Jerry; Wang, Qing | Here we use atomic force microscope infrared-spectroscopy (AFM-IR) to provide direct mapping of local conformational configuration in relaxor ferroelectric polymers [Y. Liu et al, Nature Mater. | Session 14: Electric Polarization in Polymer Physics |

261 | Operando structure determination of mixed conducting polymers | Paulsen, Bryan; Wu, Ruiheng; Takacs, Christopher; Strzalka, Joseph; Zhang, Qingteng; Giovannitti, Alexander; Toney, Michael; Rivnay, Jonathan | Here, we report the grazing incidence x-ray scattering of the prototypical polythiophene/polyelectrolyte blend, PEDOT:PSS, and the glycolated polythiophene, p(g2T-TT), under operating conditions (i.e. exposed to electrolyte, at controlled electrochemical potential). | Session 14: Electric Polarization in Polymer Physics |

262 | Copper Nanowire Infused Facemasks | Jorgensen, Cameron; Gilbert, Dustin; Bryan, Daniel; Denes, Thomas; Murray, Anne | The goal is to develop a method for reusing or recycling old masks into new masks for continued use without pathogens they collect. | Session 14: Electric Polarization in Polymer Physics |

263 | Ion partition in polyelectrolyte nanogels | Chremos, Alexandros; Mussel, Matan; Basser, Peter; Douglas, Jack; Horkay, Ferenc | We perform molecular dynamics simulations of a minimal model of a polyelectrolyte nanogel particle in solution with an explicit solvent and ions, where the relative strength of dispersion interactions between the solvent and the charged species defines the solvent quality and the position of the ion along the Hofmeister series. | Session 14: Electric Polarization in Polymer Physics |

264 | 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 14: Electric Polarization in Polymer Physics |

265 | Rectification and transport in non-equilibrium parity violating metamaterials and liquids. | Liao, Zhenghan; irvine, william; Vaikuntanathan, Suriyanarayanan | Rectification and transport in non-equilibrium parity violating metamaterials and liquids. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

266 | Self-organised polar and nematic structures at the gas-liquid interface of motility-induced phase separation | Lee, Chiu Fan | By using a mean-field analysis of a system of active particles with discretized orientations in two dimensions, I obtain the interfacial profiles and elucidate various interfacial properties of the system under MIPS. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

267 | Spontaneous oscillations driven by nonreciprocal cross-diffusion | Shokri-Kalan, Somaiyeh; You, Zhihong; Marchetti, M Cristina | Using the Fourier-Galerkin method, we obtain a one-mode approximation that highlights the underlying physics of this nonreciprocity-driven oscillation. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

268 | The deformation and flow of a levitated granular membrane | Lim, Melody; VanSaders, Bryan; Souslov, Anton; Vitelli, Vincenzo; Jaeger, Heinrich | We use hydrodynamic models for rotating liquid drops to describe the granular dynamics and extract the droplet surface tension, and show that long-range acoustic forces and the anisotropy of the droplet give rise to a surface tension that scales with the droplet size. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

269 | Complex Acoustic Fields for Driving Levitated Granular Media | VanSaders, Bryan; Lim, Melody; Vitelli, Vincenzo; Jaeger, Heinrich | We apply the Lattice Boltzmann Method (LBM) to conduct direct numerical simulations of levitated objects, which permits investigation of fluid-structure interactions, including momentum transfer by acoustic wave scattering and viscous dissipation. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

270 | Controlling elasticity in levitated active hinges | Xia, Anne; Lim, Melody; VanSaders, Bryan; Jaeger, Heinrich | We use acoustic levitation to address this issue, by which we can assemble sub-millimeter granular clusters with tunable interactions. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

271 | Sculpting Crystals One Burgers Vector at a Time: Towards Colloidal Lattice Robot Swarms | VanSaders, Bryan; Glotzer, Sharon | We investigate how particles with variable diameters can be embedded in colloidal monolayers to produce dislocations on demand. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

272 | Field-Drive Robot Swarm Quasi-Transitions | Wang, Gao; Phan, Trung; Li, Shengkai; Wombacher, Michael; Chen, Guo; Qu, Junle; Peng, Yan; Goldman, Daniel; Levin, Simon; Austin, Robert | We present an ecology-inspired form of active matter consisting of a field-drive robot swarm. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

273 | Developmentally driven order-disorder transition in chiral living crystals | Han, Tzer; Higinbotham, Hugh; Mietke, Alexander; Chen, Yuchao; Foster, Peter; Gokhale, Shreyas; Dunkel, Jorn; Fakhri, Nikta | Here, we report on the formation of chiral crystals of starfish embryos which undergo autonomous order-disorder transitions. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

274 | Physical gliders produced from smarticle clouds | Vardhan, Akash; Avinery, Ram; Kedia, Hridesh; Wiesenfeld, Kurt; Goldman, Daniel | Active matter studies have mainly considered systems in which agents are individually motile and maintain a fixed shape. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

275 | Contact Sensing Enables Tunable Ratcheting of a Robotic Collective | Avinery, Ram; Li, Shengkai; Goldman, Daniel | Here we study a simulated robotic collective, with individuals performing run-and-tumble behavior. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

276 | A self-kneading chiral crystal | Bililign, Ephraim; Balboa Usabiaga, Florencio; Ganan, Yehuda; Soni, Vishal; Magkiriadou, Sofia; Shelley, Michael; Bartolo, Denis; irvine, william | To realize this more general class of matter, we build an active chiral crystal composed of spinning magnetic colloids, revealing a lively self-organized steady-state of crystalline whorls that blurs the line between solid and liquid. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

277 | Locomotion without force: exploiting curved spaces | Rocklin, Zeb; McInerney, James; Aydin, Enes; Ozkan-Aydin, Yasemin; Goldman, Daniel | Here, we report the first experimental realization of this effect via a T-shaped robotic model with servos driving 34 gm masses via pinion-gears along three curved rack-type arms (lengths 59.5cm, 25cm, total mass 33 gm). | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

278 | Topological defects in non-reciprocal solids | Scheibner, Colin; Braverman, Lara; Vitelli, Vincenzo | In this talk, I will discuss the theory of topological defects in two-dimensional crystals that violate MB reciprocity. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

279 | Impact of active solids | Brandenbourger, Martin; Scheibner, Colin; Vitelli, Vincenzo; Coulais, Corentin | Here, we study 1D and 2D active metamaterials capable of large deformations by measuring their mechanical responses to dynamic impacts. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

280 | Complete absorption of topologically protected waves | Baardink, Guido; Cassella, Gino; Neville, Luke; Souslov, Anton; Milewski, Paul | As a realization, we present a model system of two topological fluids composed of counter-spinning particles, which are separated by a boundary that transitions from a fluid-fluid interface into a no-slip wall. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

281 | Active Elastic Materials : from emerging collective motion to autonomous actuation | Baconnier, Paul; Hernández, Claudio; During, Gustavo; Coulais, Corentin; Démery, Vincent; Dauchot, Olivier | With the help of centimetric model of self-propelled particles, we construct the first experimental model system of an active elastic material, and study its emerging behaviors in various mechanical conditions. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

282 | Signal manipulation via dynamic dispersion tuning through a flat band in a phononic metamaterial | Karki, Pragalv; Paulose, Jayson | In this talk, we will demonstrate how to stop and reverse a sound pulse in a new class of programmable metamaterials. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

283 | Marine Sponge Tissue Displays Both Dynamic and Diverse Mechanics | Kraus, Emile; Mellenthin, Lauren; Siwiecki, Sara; Song, Dawei; Janmey, Paul; Sweeney, Alison | Here we perform rheological experiments on a diverse set of sponge species and fit the data using hyperelastic constitutive models. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

284 | 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 15: Emergent Mechanics of Active, Robotic, and Living Materials |

285 | Coarse-grained kinematics of origami tessellations | Nassar, Hussein | Here, we develop tools suitable for the analysis of the coarse grained kinematics of origami tessellations in the limit of fine crease patterns. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

286 | Active elastocapillarity | Binysh, Jack; Souslov, Anton | Here, we develop a continuum theory that describes an active surface wrapped around a passive soft solid. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

287 | Topology protects robust global cycles in stochastic systems | Tang, Evelyn; Agudo-Canalejo, Jaime; Golestanian, Ramin | Here, we present biologically plausible motifs from which two-dimensional stochastic networks can be constructed. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

288 | Bioinspired Soft Composites with Deformation-induced Coloration | Rafsanjani, Ahmad; Poloni, Erik; Place, Vadim; Ferretti, David; Studart, Andre | Here, we draw a high-level inspiration from active iridophores and introduce an architected soft composite material that can reversibly change its color under pure deformation. | Session 15: Emergent Mechanics of Active, Robotic, and Living Materials |

289 | Dynamics of growth, death, and resource competition in sessile organisms | Lee, Edward; Kempes, Christopher; West, Geoffrey | We build on a minimal dynamical model of metabolic growth where the tension between individual growth and mortality determines population size distribution. | Session 16: Evolutionary and Ecological Dynamics |

290 | Emerging spatio-temporal patterns in cyclic predator-prey systems with habitats | Mir, Hana; Stidham, James; Pleimling, Michel | In this study, we analyze a structured heterogeneous system which gives one species an advantage to escape predation in an area, we refer to as a habitat, and study the effect on species coexistence and spatio-temporal patterns. | Session 16: Evolutionary and Ecological Dynamics |

291 | Universality classes for fixation-time distributions in stochastic evolutionary games | Hathcock, David; Strogatz, Steven | Stochastic models in evolutionary biology and ecology are often described by birth-death dynamics where absorption times are the key quantity of interest: how long does it take for a mutation to become fixed or for a fluctuating population to go extinct? | Session 16: Evolutionary and Ecological Dynamics |

292 | Differences in bacteria killing rates are mitigated by finite size effects | Copeland, Raymond; Yunker, Peter | To determine the impact of finite size effects on deadly competitions within biofilms, we perform individual based simulations of bacteria confined to different sized environments. | Session 16: Evolutionary and Ecological Dynamics |

293 | Improve it or lose it: evolvability costs of competition for expression | Moran, Jacob; Finlay, Devon; Tikhonov, Mikhail | Using a minimal model to study this in the context of a changing environment, we demonstrate that one unexpected consequence of such a feedback loop is that a slow switch to a new environment can allow genomes to reach higher fitness sooner than direct exposure. | Session 16: Evolutionary and Ecological Dynamics |

294 | Population boundary across an environmental gradient: Effects of quenched disorder | Kovacs, Istvan; Juhasz, Robert | Here, we capture the effects of quenched heterogeneities on the ecological boundary with the disordered contact process in one and two dimensions with a linear spatial trend in the local control parameter. | Session 16: Evolutionary and Ecological Dynamics |

295 | Fluctuations in population density change topology of genealogical trees in range expansions | Birzu, Gabriel; Hallatschek, Oskar; Korolev, Kirill | Here, we show that different growth dynamics lead to qualitative changes in the topology of genealogies at the front. | Session 16: Evolutionary and Ecological Dynamics |

296 | Self-Organization of Lifelike Behaviors | England, Jeremy | In this talk, we will report recent progress in understanding what physical conditions are required for the spontaneous emergence of these various lifelike behaviors from assemblages of simple, interacting components. | Session 16: Evolutionary and Ecological Dynamics |

297 | Modeling the ecology of parasitic plasmids | Lopez, Jaime; Wingreen, Ned; Donia, Mohamed | We propose that this tragedy of the commons is averted by selection between competing populations and demonstrate this effect in a metapopulation model. | Session 16: Evolutionary and Ecological Dynamics |

298 | Inducing stable spiral structures and population diversity in the asymmetric May–Leonard model | Serrao, Shannon; Tauber, Uwe | We qualitatively describe the spiral stabilization in the asymmetric patch down to the injection of periodic wavefronts from the adjacent symmetric region. | Session 16: Evolutionary and Ecological Dynamics |

299 | Transition states of two-cycle ecological oscillators: Blume-Capel representation | Nareddy, Vahini Reddy; Machta, Jonathan; Abbott, Karen; Esmaeili-Wellman, Shadi Sadat; Hastings, Alan | We model the spatially-extended ecological systems with coupled lattice maps in two-cycle regime and represent them with the Blume-Capel model. | Session 16: Evolutionary and Ecological Dynamics |

300 | Time-Dependent Effective Sampling Bias in Populations with Broad Offspring Number Distributions | Okada, Takashi; Hallatschek, Oskar | Here, we establish several new scaling relations about the fixation probability, the extinction time, the allele-frequency fluctuations, and the site frequency spectrum, when offspring numbers are distributed according to a fat-tailed distribution with a divergent variance (1/u α+1 with 1<α<2). | Session 16: Evolutionary and Ecological Dynamics |

301 | Playing it safe: information constraints bias living systems towards less risky strategies | Fleig, Philipp; Balasubramanian, Vijay | We argue that strategies employed by organisms are fundamentally probabilistic, and define a probability of survival in terms of a distance measure between an organism’s strategy and the statistics of the environment. | Session 16: Evolutionary and Ecological Dynamics |

302 | Inferring the effects of mutations on SARS-CoV-2 transmission | Lee, Brian; Ahmed, Syed; Finney, Elizabeth; Quadeer, Ahmed; Sohail, Saqib; Mckay, Matthew; Barton, John | Here we develop a model for disease spread in a localized population that accounts for both the possibility of a long tailed distribution for the number of people infected by a single individual, and that pathogen genetic variation may affect the probability of transmission, i.e., transmission fitness. | Session 16: Evolutionary and Ecological Dynamics |

303 | Stochastic birth of de novo genes | Mani, Somya; Tlusty, Tsvi | Through this study, we aim to infer the relationship between the mutational and epigenetic dynamics at intergenic regions, and the probability and timing of gene birth in natural populations. | Session 16: Evolutionary and Ecological Dynamics |

304 | Power-Law Memory in Living Species and the Distribution of Lifespans | Edelman, Mark; Jacobi, Rachel | 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 16: Evolutionary and Ecological Dynamics |

305 | Curvature Driven Dynamics in Ecological Coupled Lattice Maps | Shneer, Tom; Machta, Jonathan | In this talk, we will demonstrate that these two systems share two properties, both of which have been well studied in the zero temperature Ising model [2,3,4]: (1) both evolve with curvature driven dynamics and, (2) both freeze into final states with probabilities agreeing reasonably well with predictions from percolation theory. | Session 16: Evolutionary and Ecological Dynamics |

306 | Noise-induced versus intrinsic oscillations in ecological systems | Esmaeili-Wellman, Shadi Sadat; Hastings, Alan; Abbott, Karen; Machta, Jonathan; Nareddy, Vahini Reddy | We numerically investigated the dynamics of coupled, noisy oscillators, as we slowly change the parameter from the steady state to the two-cycle regime. | Session 16: Evolutionary and Ecological Dynamics |

307 | Population Extinction on a Random Fitness Seascape | Ottino-Loffler, Bertrand; Kardar, Mehran | We explore the role of stochasticity and noise in the statistical outcomes of commonly studied population dynamics models within a space-independent (mean-field) perspective. | Session 16: Evolutionary and Ecological Dynamics |

308 | A simple metabolic architecture allows near-optimal adaptation to rapidly fluctuating environments | Landmann, Stefan; Holmes, Caroline; Tikhonov, Mikhail | Here, we use a model of metabolism to show that a simple generalization of a ubiquitous regulatory motif (end-product inhibition) is sufficient both for learning complex continuous-valued features of the environment and for translating this information into predictive behavior; moreover, it accomplishes these tasks near-optimally. | Session 16: Evolutionary and Ecological Dynamics |

309 | Effects of demographic stochasticity on eco-evolutionary dynamics and trait-space patterning of complex communities | Wu, Jim; Mehta, Pankaj; Schwab, David | Within this model, we explore the factors that determine the evolutionary fate of the ecosystem. | Session 16: Evolutionary and Ecological Dynamics |

310 | A pandemic risk model for viruses | Doelger, Julia; Kardar, Mehran; Chakraborty, Arup | We investigate the pandemic risk for different viral types, using an analytical model. | Session 16: Evolutionary and Ecological Dynamics |

311 | Antagonism between toxin-secreting yeast strains as an experimental model for biological nucleation dynamics | Giometto, Andrea; Nelson, David; Murray, Andrew | We developed mathematical models that predict the experimental population dynamics of antagonistic competition in both well-mixed and spatially structured populations. | Session 16: Evolutionary and Ecological Dynamics |

312 | Optimal evolutionary control for artificial selection on molecular phenotypes | Nourmohammad, Armita; Eksin, Ceyhun | Here, we propose a feedback control formalism to devise globally optimal artificial selection protocol to direct evolution of molecular phenotypes. | Session 16: Evolutionary and Ecological Dynamics |

313 | Transitions in body wave dynamics in lizards with varying body and limb proportions | Chong, Baxi; Erickson, Eva; Goldman, Daniel; Bergmann, Philip | Here we studied the locomotion patterns of three species of Brachymeles skinks ( B. kadwa with effective hind leg lengths (HLL)=0.17 relative to snout-vent length (SVL) , B. taylori with HLL= 0.15 SVL , and B. mungtingkamay with the HLL=0.09 SVL) and compared them with stereotypical lizards, Uma scoparia (HLL=0.33 SVL) and Callisaurus draconoides (HLL=0.44 SVL), and an almost legless lizard, Lerista praepedita. | Session 16: Evolutionary and Ecological Dynamics |

314 | Balancing spatial heterogeneity and migration to slow the evolution of resistance in a bacterial pathogen. | Huynh, Anh; Sharma, Anupama; De Jong, Max; Wood, Kevin | In this work, we combine lab evolution experiments in spatially connected, computer-controlled chemostats with mathematical models to investigate resistance evolution in E. faecalis, an opportunistic bacterial pathogen. | Session 16: Evolutionary and Ecological Dynamics |

315 | Maintaining unused traits by interconnecting trait networks | Kingma, Enzo; Laan, Liedewij | We found that in both environments, repair of the cell polarity defect was accompanied by a better ability to perform diauxic growth. | Session 16: Evolutionary and Ecological Dynamics |

316 | Evolution of collective predator evasion: Putting the criticality hypothesis to the test | Klamser, Pascal; Romanczuk, Pawel | Complex systems theory predicts that collective information processing becomes optimal at the border between order and disorder, i.e. at a critical point. | Session 16: Evolutionary and Ecological Dynamics |

317 | The fitness landscapes of translation | Josupeit, Mario; Krug, Joachim | Motivated by recent experiments on an antibiotic resistance gene, in this work we investigate genetic interactions between synonymous mutations in the framework of exclusion models of translation. | Session 16: Evolutionary and Ecological Dynamics |

318 | Fluctuation relations and universal constraints on divisions, growth and fitness in lineage trees | Genthon, Arthur; Lacoste, David | We construct a pathwise formulation of a growing population of cells, based on two samplings of the lineages within the population, namely the forward and backward samplings. | Session 16: Evolutionary and Ecological Dynamics |

319 | Fitness inference from deep mutational scanning data | Hong, Zhenchen; Barton, John | Here, we combined methods from statistical physics and population genetics to interpret the functional effects of mutations from DMS data. | Session 16: Evolutionary and Ecological Dynamics |

320 | Influence of State Reopening Policies in COVID-19 Mortality | Moreno, Juana; Walker, Nicholas; Tam, Ka-Ming | To address this question, we compare the hypothetical case in which the mitigation measures are left intact to the actual data. | Session 16: Evolutionary and Ecological Dynamics |

321 | Does selfish runaway or cohesive movement of the entire prey swarm be favourable to escape a predator attack? | Chakraborty, Dipanjan; De, Rumi | Using a simple particle-based model, incorporating the essential attractive and repulsive interactions between the prey and the predator, we investigate the effect of cooperative interactions on the survival chances of a prey swarm attacked by a nearby predator. | Session 16: Evolutionary and Ecological Dynamics |

322 | Quasi-strategies in evolutionary games | Adami, Chris | The theory can be extended to describe stochastic strategies and predicts that the stable stochastic strategy is determined by probabilities that reflect the corresponding mixture of deterministic strategies. | Session 16: Evolutionary and Ecological Dynamics |

323 | Ruggedness of ecological landscapes informs community optimization | George, Ashish; Korolev, Kirill | We investigate how the success of a heuristic search for the optimal combination of microbes depends on community ecology. | Session 16: Evolutionary and Ecological Dynamics |

324 | 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 16: Evolutionary and Ecological Dynamics |

325 | Closed microbial communities self-organize to persistently cycle carbon | Kuehn, Seppe; de Jesús Astacio, Luis; PRABHAKARA, KAUMUDI; Li, Zeqian; Mickalide, Harry | We develop a new technique for quantifying carbon cycling in hermetically sealed microbial communities and show that CES comprised of an alga and diverse bacterial consortia self-organize to cycle carbon. | Session 16: Evolutionary and Ecological Dynamics |

326 | Self-organization and criticality in species-rich metacommunities | Denk, Jonas; Hallatschek, Oskar | For global coupling we derive a mean field theory that yields analytic expressions for the species abundances. | Session 16: Evolutionary and Ecological Dynamics |

327 | Abundance transitions in multispecies stochastic Lotka-Volterra | Rothschild, Jeremy; Leibovich, Nava; Zilman, Anton; Goyal, Sidhartha | Neutral theories of biodiversity assume that all individuals are functionally identical regardless of the species, whereas symmetrical non-neutral (i.e “niche”) theories forego the assumption of equivalent individuals and distinguish solely between self and non-self interactions. | Session 16: Evolutionary and Ecological Dynamics |

328 | Interplay between phenotypic variability and population genetics in bacteria | Jafarpour, Farshid; Levien, Ethan | In this talk, we discuss what aspects of variability in growth and divisions of single cells affect population genetics and are in turn under selection pressure. | Session 16: Evolutionary and Ecological Dynamics |

329 | Robust heritability of collective traits via the maximum entropy principle | Day, Thomas; Zamani Dahaj, Seyed Alireza; Ratcliff, William; Yunker, Peter | Here, we propose that stochasticity supplied by random cell division can directly lead to highly heritably group traits. | Session 16: Evolutionary and Ecological Dynamics |

330 | Coalescent trees in the oceans | Pigolotti, Simone; Villa Martin, Paula | In this talk, I will introduce a spatial coalescence model that predict the impact of oceanic turbulence on the diversity of these communities. | Session 16: Evolutionary and Ecological Dynamics |

331 | Shear Jamming in Dense Suspensions* | Jaeger, Heinrich | In particular, I will show how controlling the particles’ shape, their surface chemistry, and the suspending solvent opens up new opportunities for designing the dynamic stress response of dense suspensions as they transform into a shear jammed state. | Session 17: Flow of Dense Granular Materials and Suspensions |

332 | 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 (DEM) simulations of dense, bidisperse particles and propose a continuum model for coupled size-segregation and flow in dense, bidisperse granular systems. | Session 17: Flow of Dense Granular Materials and Suspensions |

333 | 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 17: Flow of Dense Granular Materials and Suspensions |

334 | 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 17: Flow of Dense Granular Materials and Suspensions |

335 | Active intruder dynamics in granular suspensions | Kudrolli, Arshad | We discuss the dynamics of intruders in the form of solid rods, anguilliform robots, and limbless worms moving through sedimented granular medium based on experiments and rheology models coupled with resistive force theory. | Session 17: Flow of Dense Granular Materials and Suspensions |

336 | GSNP Business Meeting (6:00pm-7:00pm) | Morrison, Terrance | GSNP Business Meeting (6:00pm-7:00pm) | Session 18: GSNP Business Meeting (6:00pm-7:00pm) |

337 | Smectic Description of Wrinkle Patterns | Aharoni, Hillel | In this talk I will show how an effective energy functional for the envelope of a wrinkle pattern emerges from coarse graining the elastic energy. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

338 | Exact solutions for wrinkle patterns from geometrically incompatible confinement | Tobasco, Ian; Timounay, Yousra; Todorova, Desislava; Leggat, Graham; Paulsen, Joseph; Katifori, Eleni | We present a simple yet complete set of geometric rules for determining the direction of wrinkling that emerges in a general spherical or saddle-shaped shell. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

339 | Modeling the behavior of inclusions in circular plates undergoing 2D-to-3D shape changes | Oshri, Oz; Biswas, Santidan; Balazs, Anna | We derive an analytical model that predicts the 2D-to-3D shape transitions in the system. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

340 | Developable zig-zag wrinkling in a thin annulus contracted inwards | Pal, Anshuman; Pocivavsek, Luka; Witten, Thomas | In this work, we analyse a novel geometric Lamé system that displays such a strain-free state of azimuthal wrinkling. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

341 | Wrinkling of viscous bubble films | Oratis, Alexandros; Bush, John; Stone, Howard; Bird, James | Here we show that the underlying wrinkling dynamics of viscous films are similar to those in elastic sheets. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

342 | Two instabilities underlying curvature-induced delamination patterns | Davidovitch, Benjamin; Box, Finn; Demery, Vincent; Vella, Dominic | We present experimental results that support the existence of distinct instability mechanisms for curvature-induced delamination. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

343 | Measuring the lift-off force for d cones | Guo, Tianyi; Zheng, Xiaoyu; Palffy-Muhoray, Peter | We have measured the force as function of displacement of the cone center for Mylar disks, and determined the lift-off force as function of radius and thickness. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

344 | Finite Curved Creases in Infinite Isometric Sheets | Mowitz, Aaron; Witten, Thomas | We address this question by modeling the observed crescent with a more geometric approach: we treat the crescent as a curved crease in an isometric sheet. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

345 | Instability of thin sheets under torque-free geometrically-incompatible confinement | Xin, Meng; Davidovitch, Benjamin | We study a weak GIC problem, generated by a contractile inclusion, which gives rise to buckling instability. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

346 | Counting wrinkles on cones | Zhang, Xiaoxiao; Paulsen, Joseph; Zhang, Teng | For small cone angles, we observe a hierarchical pattern with defect-free zones (constant wrinkle wavelength) separated by defect-rich zones where new wrinkles emerge. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

347 | Curvature-Driven Propulsion of Floating Films | Ripp, Monica; Paulsen, Joseph | We focus on a model system where a thin polymer film (~100 nm) is confined to the curved water interface in an overfilled petri dish. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

348 | Solid Domains on Giant Lipid Vesicles: Growth of 2D Crystals on Curved Surfaces | Wan, Hao; Santore, Maria | In this study, we investigate how solid lipid domains grow in the nanometrically-thin bilayer membranes of giant unilamellar vesicles and how the growth pattern results from the interplay of membrane tension and curvature. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

349 | On leaves, flowers, and sea slugs | Venkataramani, Shankar | I will discuss recent advances in the mathematics and mechanics of hyperbolic NEP, emphasizing the connections between the math and the ‘extreme’ mechanical properties of hyperbolic NEP that might explain their ubiquity in natural objects. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

350 | Frustrated Euclidean ribbons: a new class of geometric frustration | Siefert, Emmanuel; Levin, Ido; Maor, Cy; Sharon, Eran | Here we report on a new type of geometrical frustration, one that exists in sheets that satisfy Gauss’s theorem. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

351 | Prediction of the buckling capacity of thin shells by using stability landscapes | Yadav, Kshitij; Cuccia, Nicholas; Virot, Emmanuel; Rubinstein, Shmuel; Gerasimidis, Symeon | A novel approach is proposed, which provides an accurate prediction of cylindrical shells’ buckling capacity without measuring the imperfections. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

352 | Universal Features of Buckling Initiation in Thin Shells | Cuccia, Nicholas; Yadav, Kshitij; Virot, Emmanuel; Gerasimidis, Symeon; Rubinstein, Shmuel | Universal Features of Buckling Initiation in Thin Shells | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

353 | Static equilibria and bifurcations of interlaced bigon rings | Yu, Tian; Dreier, Lauren; Marmo, Francesco; Gabriele, Stefano; Adriaenssens, Sigrid | We propose a numerical framework to study mechanics of elastic strip networks. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

354 | Delayed bifurcation in elastic snap-through | Liu, Mingchao; Gomez, Michael; Vella, Dominic | By combining numerical simulation and asymptotic analysis, we investigate when and how the arch transitions between two stable states and show that the end-shortening at which the fast ‘snap’ happens depends on the rate at which the end-shortening is reduced. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

355 | Delayed pressure buckling of viscoelastic spherical shells | Stein-Montalvo, Lucia; Holmes, Douglas; Coupier, Gwennou | With fast-switching devices in mind, we performed dynamic pressure buckling experiments on defect-seeded spherical shells made of a common silicone elastomer. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

356 | Mechanics and geometry of nonlinear cracks: A complex stress-function approach | Szachter, Oran; Moshe, Michael; Katzav, Eytan | Here we present a new method that allows us to generalise the complex function approach to nonlinear elasticity. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

357 | Snap buckling in overhand knots | Tong, Dezhong; Khalid Jawed, Mohammad | In order to gain physical insight into the process, we employ scaling analysis on elastic energies and investigate the role of various physical ingredients on inversion. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

358 | Bifurcation of pre-buckled bands under lateral transverse shear | Huang, Weicheng; Khalid Jawed, Mohammad | To capture their geometrically nonlinear deformations, we develop several discrete differential geometry-based numerical frameworks. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

359 | Snap buckling of active bistable beams under magnetic actuation | Abbasi, Arefeh; Yan, Dong; Reis, Pedro | We demonstrate that the snap buckling of our magnetic beams can be triggered in the presence of an external uniform magnetic field. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

360 | Stabilization of a heavy particle on a vibrating soft ribbon | Abramian, Anaïs; Protière, Suzie; Lazarus, Arnaud | Here, as a first step towards the modelisation of this coupling, we propose a 1D-version of the system, where a bead is bouncing on a narrow elastic ribbon. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

361 | Diffusion stimulated snap-through inversion of an elastic hemispherical shell | Park, Ji Sung; Kim, JunSeong; Lee, Anna; Kim, Ho-Young | Upon combining our theory with experiments of various geometry of thin shells, we suggest a novel model for snap-through inverting shells for both biologists and toy enthusiasts. | Session 19: Geometrically-Frustrated Instabilities in Solid Mechanics |

362 | Mean-field dynamics of infinite-dimensional particle systems: global shear versus random local forcing | Agoritsas, Elisabeth | We show that, in the infinite-dimension limit, the mean-field dynamics under such a random forcing is strictly equivalent to that under global shear, upon a simple rescaling of the accumulated strain. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

363 | Towards a Unification of Theories of the Glass Transition? | Royall, Paddy | We find evidence that the dynamical phase transition has a lower critical point close to the Kauzmann temperature where the configurational entropy is predicted to become small in thermodynamic theories. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

364 | Stability Dependence of the Vibrational Properties of Glasses in Two and Three Dimensions | Flenner, Elijah | Numerical methods generally create glasses by quenching a mildly supercooled liquid, which limits the variation of vibrational properties of glasses and the ability to examine correlations between different quantities. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

365 | Rigidity and glass transitions in biological tissues | Manning, M Lisa | I will use a newly developed framework for “higher-order rigidity” to discuss similarities and differences between rigidity in particulate matter and rigidity in confluent tissues and fiber networks. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

366 | Towards a cluster dynamical mean-field theory of the glass transition | Biroli, Giulio | I will then motivate, discuss and present the first results on its cluster extension. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

367 | Impact of adhesion on the shape and rearrangements of biomimetic emulsions in static and dynamical packings | Montel, Lorraine; Golovkova, Iaroslava; Wandersman, Elie; Prevost, Alexis; Bertrand, Thibault; Pontani, Léa-Laetitia | We developed adhesive emulsions as a simpler and more controlled model system to study the role of adhesion in tissue mechanics. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

368 | Assessing the connection between cellular rearrangements and local structure using information in models of biological tissues. | Tah, Indrajit; Sharp, Tristan; Liu, Andrea; Sussman, Daniel | We push this further to use structural information to predict the mobility of individual cells, identifying a linear combination of local structural features, "softness," that is strongly predictive of cell rearrangements. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

369 | Local rotational dynamics reveals strain dependence in amorphous particle packings | Wang, Dong; Nejadsadeghi, Nima; Misra, Anil; Li, Yan; Shekhar, Shashi; Dijksman, Joshua | We study the dynamics of rotations in sheared amorphous quasi-two-dimensional disk packings at various friction coefficients and packing densities. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

370 | Direct experimental evidence for the Gardner transition in a colloidal glass | Schwen, Eric; Ramaswamy, Meera; Liarte, Danilo; Cohen, Itai | Here, we present experiments aimed at directly observing the predicted metastable states of the Gardner phase in a colloidal glass. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

371 | Glassy dynamics in the hard matrix model | Kent-Dobias, Jaron; Elser, Veit | We introduce the hard matrix model (HMM) which consists of an orthogonal matrix exploring an energy landscape proportional to its 1-norm. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

372 | Non-Equilibrium Universal Features of Annealing and Aging in Granular Piles, | Gago, Paula; Boettcher, Stefan | We explore the compaction dynamics of a granular pile after a hard quench from a liquid into the glassy regime. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

373 | The Distribution of Distances to Instabilities of Jammed Packings of Frictionless Spheres Under Load | Boltz, Horst-Holger; Xu, Ding; Xu, Ning; Liu, Andrea | We study an athermal, jammed packing of frictionless soft spheres to revisit the contribution of local (fold) instabilities to the vibrational density of states D(ω). | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

374 | Mechanism of Clogging in Microfluidic Devices | Wilson, Abigail; Holway, Sydney; Coons, Thomas; Guasto, Jeffrey; Atherton, Tim | Complemented by high-speed imaging of microfluidic experiments, we develop a computational model of clog formation that accounts for hydrodynamic and steric surface interactions. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

375 | Direct Measurements of the Complexity of the Sphere Packing Energy Landscape | Beale, Valerie; Corwin, Eric | We approximate this landscape as that of frictionless spheres and characterize their energy landscape by enumerating the local minima found within randomly chosen small volumes. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

376 | How active deformation of cells can induce a fluidization transition in biological tissues | Le Goff, Magali; Bertin, Eric; Martens, Kirsten | Inspired by the physics of driven amorphous materials, we introduce a novel active elasto-plastic model at the mesoscopic scale based on a coarse-graining of the particle-based model [1]. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

377 | Elasto-plasticity Mediates Avalanche Dynamics in Supercooled Liquids Below the Mode-Coupling Temperature | Chacko, Rahul; Landes, François; Biroli, Giulio; Dauchot, Olivier; Liu, Andrea; Reichman, David | In this talk, we show that this scenario of elastically-triggered avalanches applies to the dynamics of a model two-dimensional supercooled liquid below the mode-coupling temperature. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

378 | Dionysian Hard Sphere Packings are Mechanically Stable at Vanishingly Low Densities | Dennis, Robert; Corwin, Eric | Nevertheless, we construct hard sphere packings that have asymptotically zero density and yet maintain finite strength, thus achieving an unbounded strength-to-weight ratio. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

379 | Monte Carlo Suite for the Atomistic Simulation of Polymer-Based Interfacial and Nanocomposite Systems | Herranz, Miguel; Ramos, Pablo; Martinez Fernandez, Daniel; Benito, Javier; Karayiannis, Nikos; Laso, Manuel | We present a Monte Carlo (MC) protocol for the atomistic simulation of polymer-based systems. | Session 20: Glassy Dynamics: From Simple Models to Biological Tissues |

380 | Controlling Rheology via Boundary Conditions in Dense Granular Flows | Fazelpour, Farnaz; Daniels, Karen | We characterize the properties of granular slip at the boundaries, and investigate which aspects of a dense granular flow can be controlled by the choice of boundary condition. | Session 21: Granular Flows Beyond Simple Mechanical Models |

381 | Quantifying the influence of rolling friction on force networks and rheology in sheared suspensions | Singh, Abhinendra; Basak, Rituparna; De Pablo, Juan; Kondic, Lou; Jaeger, Heinrich | We will present the comparison between the statistics of the evolution of the force network in different systems and how different constraints affect the rheology of a dense suspension. | Session 21: Granular Flows Beyond Simple Mechanical Models |

382 | Generalized Constitutive Modeling of Granular Materials near the Flow-Arrest Transition | Srivastava, Ishan | I will describe our general tensorial constitutive model that suitably captures these features. | Session 21: Granular Flows Beyond Simple Mechanical Models |

383 | Power-Law Scaling in Granular Rheology | Kim, Seongmin; Kamrin, Kenneth | We propose a new form of the constitutive equation for simple granular materials which is independent of packing fraction. | Session 21: Granular Flows Beyond Simple Mechanical Models |

384 | Pressure-dependent shear modulus of jammed packings of non-spherical particles | Zhang, Jerry; VanderWerf, Kyle; Shattuck, Mark; O’Hern, Corey | Here, we generate jammed packings of circulo-lines in two spatial dimensions (2D) and study their mechanical response. | Session 21: Granular Flows Beyond Simple Mechanical Models |

385 | Results that stick: how adhesive particle properties affect their collective flow behavior | Farmani, Zohreh; Dijksman, Joshua; Wieringa, Jan | We used ceramic microparticles with a size distribution between 10-100 micrometer; these particles are base materials for porcelain stoneware. | Session 21: Granular Flows Beyond Simple Mechanical Models |

386 | Flow and clogging behavior of mixtures of low-friction soft and frictional rigid spheres in a quasi-two-dimensional silo | Fan, Bo; Wang, Jing; Pongó, Tivadar; Harth, Kirsten; Trittel, Torsten; Stannarius, Ralf; Illig, Maja; Hidalgo, Raúl; Börzsönyi, Tamás | Here we show that the addition of a small amount of frictional hard beads to an ensemble of low-friction deformable beads already has significant consequences. | Session 21: Granular Flows Beyond Simple Mechanical Models |

387 | Rheology of suspensions in the thermal crossover: an incline plane experiment under confocal observation. | Billon, Alice; Dauchot, Olivier; Forterre, Yoël; Pouliquen, Olivier | We compare the experimental velocity profiles with a theoretical model that extends to pressure-imposed conditions the model of Ikeda et al [2] for the rheology of soft and brownian suspensions at the cross-over of the glass and jamming transition. | Session 21: Granular Flows Beyond Simple Mechanical Models |

388 | Discharge Rate of a Silo with Rotating Bottom | Pongó, Tivadar; Hernández-Delfin, Dariel; To, Kiwing; Börzsönyi, Tamás; Hidalgo, Raúl | Our study sheds light on the cause of this peculiar behavior. | Session 21: Granular Flows Beyond Simple Mechanical Models |

389 | Localized Airflow Fluidization During Granular Intrusion | Karsai, Andras; Goldman, Daniel | We investigate in both experiment and CFD-DEM simulations how rapid downward airflow from an intruder’s tip can create transient cavities in the media and help reduce resistive force for cylindrical intruders of 3 cm diameter in both 425-850 micron granular sand and 3 mm glass beads. | Session 21: Granular Flows Beyond Simple Mechanical Models |

390 | Impact of loading geometry on steady-state flow of frictional granular packings | Lechman, Jeremy; Clemmer, Joel; Srivastava, Ishan; Grest, Gary | Studies of granular rheology often focus on a single loading geometry or stress state such as simple shear. | Session 21: Granular Flows Beyond Simple Mechanical Models |

391 | Dry granular rheology microstructure with rotational constraints | Santos, Andrew; Srivastava, Ishan; Silbert, Leo; Lechman, Jeremy; Grest, Gary | Dry granular rheology microstructure with rotational constraints | Session 21: Granular Flows Beyond Simple Mechanical Models |

392 | Unraveling the relationship between dense suspension flow and particle and solvent identity | Van der Naald, Michael; Jackson, Grayson; Jaeger, Heinrich | Recent studies have explored how their non-Newtonian flow behaviors can be manipulated by changing the suspending solvent[1], particle surface chemistry[2], and particle size[3], but a parametric study of all three factors has yet to be performed. | Session 21: Granular Flows Beyond Simple Mechanical Models |

393 | Richard L. Greene Dissertation Award in Experimental Condensed Matter or Materials Physics (2020): Beyond-Classical Quantum Computation at Google-AI Quantum | Mi, Xiao | As an example, I will present preliminary experimental results on using Sycamore to study the physics of scrambling and thermalization in quantum circuits that are challenging to analyze or simulate classically [2]. | Session 22: Greene Dissertation Award Session |

394 | Richard L. Greene Dissertation Award in Experimental Condensed Matter or Materials Physics (2020): Probing Chiral Excitations with Raman Scattering | Kung, Hsiang-Hsi | Here, we use polarization-resolved Raman scattering to directly probe the collective modes with the symmetry of a pseudovector. | Session 22: Greene Dissertation Award Session |

395 | Richard L. Greene Dissertation Award in Experimental Condensed Matter or Materials Physics: Discovery of magnetic Weyl semimetals and topological chiral crystals | Belopolski, Ilya | In this talk, I will discuss two fundamental strategies, using intrinsic magnetic order and structural crystalline chirality, which we have recently developed to uncover exotic quantum materials dominated by robust topological electronic states. | Session 22: Greene Dissertation Award Session |

396 | Richard L. Greene Dissertation Award in Experimental Condensed Matter or Materials Physics: Imaging electronic wavefunctions and interactions on the surface of bismuth | Randeria, Mallika | In this talk, I will discuss scanning tunneling microscope experiments that explore the role of electron-electron interactions and their tunability on the surface of bismuth. | Session 22: Greene Dissertation Award Session |

397 | Richard L. Greene Dissertation Award in Experimental Condensed Matter or Materials Physics (2020): Delafossite Oxides: natural, ultra-pure metal-insulator heterostructures | Sunko, Veronika | Concentrating on the Rashba-like surface states and the metal/Mott insulator heterostructure, 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 22: Greene Dissertation Award Session |

398 | Substrate-mediated interaction of active agents on an elastic membrane | Li, Shengkai; Gynai, Hussain; Ozkan-Aydin, Yasemin; Tarr, Steven; Laguna, Pablo; Goldman, Daniel | To discover principles by which collections of active agents can influence each other solely via environmental interaction, we study the dynamics of two robotic vehicles (10 cm in diameter, 150 gram in mass) on a deformable spandex membrane with a radius of 1.2 m; each vehicle’s motion is affected by both the global curvature of the membrane and local deformations due to the other vehicle. | Session 23: Interacting Active Particles |

399 | Collective motion in large deviations of active particles | Keta, Yann-Edwin; Fodor, Etienne; van Wijland, Frederic; Cates, Michael; Jack, Robert L. | We analyse collective motion that occurs during rare (large deviation) events in systems of active particles. | Session 23: Interacting Active Particles |

400 | Dry Active Matter Exhibits a Self-Organized Cross Sea Phase | Kürsten, Rüdiger; Ihle, Thomas | We show that for large systems, there is a fourth phase. | Session 23: Interacting Active Particles |

401 | Magnetic microswimmers exhibit Bose-Einstein-like condensation | Meng, Fanlong; Matsunaga, Daiki; Mahault, Benoit; Golestanian, Ramin | We study an active matter system comprised of magnetic microswimmers confined in a microfluidic channel and show that it exhibits a new type of self-organized behavior. | Session 23: Interacting Active Particles |

402 | Analyzing Collective Motion Using Graph Fourier Analysis | Schultz, Kevin; Villafane-Delgado, Marisel; Reilly, Elizabeth; Hwang, Grace; Saksena, Anshu | Here, we show how the field of graph signal processing can be used to fuse these two approaches by collectively analyzing swarm properties using graph Fourier harmonics that respect the topological structure of the swarm. | Session 23: Interacting Active Particles |

403 | Systematically elucidating the non-equilibrium steady states of active brownian particles | Cameron, Samuel; Mosayebi, Majid; Liverpool, Tanniemola | In this talk we demonstrate that one can perturbatively compute a steady-state probability distribution and an associated probability current for certain non-equilibrium systems, which then allows one to compute macroscopic averages in analogy to the equilibrium case. | Session 23: Interacting Active Particles |

404 | Odd viscosity in Stokes flows | Khain, Tali; Scheibner, Colin; Vitelli, Vincenzo | In this work, we elucidate the effect of odd viscosity on Stokes flows in three dimensions. | Session 23: Interacting Active Particles |

405 | Quantifying Dissipation from Structure in Active Matter | Tociu, Laura; Rassolov, Gregory; Fodor, Etienne; Vaikuntanathan, Suriyanarayanan | We tackle this problem by developing a perturbative mean field theory that works surprisingly well in predicting structural information even for strongly interacting systems, unlike existing approaches. | Session 23: Interacting Active Particles |

406 | Predictive modeling of interacting active Brownian particles | Bickmann, Jens; Jeggle, Julian; Bröker, Stephan; Stenhammar, Joakim; Wittkowski, Raphael | In this talk, we present an analytic representation for the full pair-distribution function of a homogeneous suspension of ABPs [1] and show how it can be used to derive predictive field theories for the collective dynamics of ABPs. | Session 23: Interacting Active Particles |

407 | Significance of the effective temperature obtained from the Einstein relation in a system of interacting active Ornstein-Uhlenbeck particles | Shakerpoor, Alireza; Flenner, Elijah; Szamel, Grzegorz | Here we show that the effective temperature obtained from the Einstein relation between the self-diffusion and mobility coefficients determines the spatial distribution of a tagged particle under the influence of a slowly varying in space external potential. | Session 23: Interacting Active Particles |

408 | Stochastic replicator equation for understanding traffic congestion | Apaza, Leonardo; Sandoval, Mario | We study traffic congestion in multilines at moderate densities. | Session 23: Interacting Active Particles |

409 | Clumping in a model of self-propelled particles in one dimension | McConley, Jacob | We introduce a model for a one-dimensional system of self-propelled particles with periodic boundary conditions. | Session 23: Interacting Active Particles |

410 | Active Hard Spheres in Infinitely Many Dimensions | Arnoulx de Pirey, Thibaut; Lozano, Gustavo; van Wijland, Frederic | Few equilibrium—even less so nonequilibrium—statistical-mechanical models with continuous degrees of freedom can be solved exactly. | Session 23: Interacting Active Particles |

411 | 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 23: Interacting Active Particles |

412 | Jannsen’s effect in 3D ant columns | Fernandez-Nieves, Alberto; Anderson, Caleb | We find that if fire ants, Solenopsis Invictae, are used instead of grains, this overshoot in pressure is washed away. | Session 23: Interacting Active Particles |

413 | 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 24: Kadanoff Prize symposium |

414 | Topological Phase Transitions in Population Dynamics | Frey, Erwin | In this talk we discuss how topological phases may determine the behavior of nonlinear dynamical systems that arise, for example, in population dynamics. | Session 24: Kadanoff Prize symposium |

415 | Leo P. Kadanoff Prize (2021): Application of First-Passage Ideas to Diverse Phenomena | Redner, Sidney; De Bruyne, Benjamin; Randon-Furling, Julien | In this talk, I discuss some basic first-passage ideas and present a few idealized models with possible applications to mechanical systems and to finance. | Session 24: Kadanoff Prize symposium |

416 | Extreme value statistics: An overview and perspectives | Majumdar, Satya | In this talk, I will give an overview of the developments in physics and mathematics. | Session 24: Kadanoff Prize symposium |

417 | Topology-Driven Completion of Chemical Data | Zubarev, Dmitry; Ristoski, Petar | We introduce an approach that identifies lacunae in the chemical data and completes them in a targeted manner. | Session 25: Machine Learning and Data in Polymer Physics |

418 | Chemically informed fragment choices to improve the property prediction for polymer systems | Dumi, Amanda; Lambrecht, Daniel | We propose an automatic fragmentation approach in which each fragment is chosen according to quantitative criteria based on electronic-structure information achieving a systematically improvable molecular partitioning. | Session 25: Machine Learning and Data in Polymer Physics |

419 | A Machine Learning Approach to the Design of Polymer Electrolyte Membranes | Shen, Kuan-Hsuan; Tran, Huan; Kim, Chiho; Ramprasad, Rampi | Proton exchange membrane fuel cells (PEMFCs) have been the subject of considerable research due to their potential as eco-friendly energy conversion systems. | Session 25: Machine Learning and Data in Polymer Physics |

420 | Identifying Accelerated Ageing Pathways for Cross-Linked Polyethylene Pipes Through Machine Learning | Damico, Joseph; Hiles, Melanie; Grossutti, Michael; Wareham, Callum; Dutcher, John | We used these results, together with decision tree and random forest classification algorithms, to identify different modes of pipe degradation and to better understand ageing effects on the long-term stability of PEX pipes. | Session 25: Machine Learning and Data in Polymer Physics |

421 | Dielectric properties of polymer nanocomposite interphases from electrostatic force microscopy using machine learning | Gupta, Praveen Kumar; Schadler, Linda; Sundararaman, Ravishankar | In this work, we report a protocol of coupling experimental measurements and numerical simulations of EFM through machine learning to extract interphase dielectric permittivity in tailored silica-based nanocomposites. | Session 25: Machine Learning and Data in Polymer Physics |

422 | Secondary structure of very large RNAs via high-throughput oligonucleotide-binding microarrays | Kimchi, Ofer; Garmann, Rees; Chiang, Timothy; Engel, Megan; Manoharan, Vinothan; Brenner, Michael | I will describe how we use the non-equilibrium nature of RNA hybridization as a lens to examine the equilibrium structures of large RNA molecules. | Session 25: Machine Learning and Data in Polymer Physics |

423 | Reading-out DNA translocation experiments with (un)supervised Machine Learning | Carral, Ángel; Ostertag, Magnus; Radenovic, Aleksandra; Fyta, Maria | In this work, we train machine learning (ML) models on experimental ionic blockade data from DNA nucleotide translocation through 2D pores of different diameters. | Session 25: Machine Learning and Data in Polymer Physics |

424 | Understanding sequence-dependent DNA dynamics through self-associative machine learning and temperature-jump spectroscopy | Jones, Mike; Tokmakoff, Andrei; Ferguson, Andrew; Ashwood, Brennan | In this work, we investigate these dynamics by performing equilibrium coarse-grained simulations of oligonucleotide sequences with varied G:C placement. | Session 25: Machine Learning and Data in Polymer Physics |

425 | Machine-guided template-based polymer retrosynthesis planning | Chen, Lihua; Lightstone, Jordan; Ramprasad, Rampi | In this work, several thousands of polymer polymerization paths were manually accumulated from various resources to extract hundreds of synthetic templates and used as a knowledge base. | Session 25: Machine Learning and Data in Polymer Physics |

426 | Active Learning of Coarse Grained Models for Free Energy Surfaces | Duschatko, Blake; Vandermause, Jonathan; Molinari, Nicola; Kozinsky, Boris | In the present work, we explore how Gaussian processes can be used in determining the optimal complexity of coarse grained free energy surfaces. | Session 25: Machine Learning and Data in Polymer Physics |

427 | An Autonomous Liquid-Handling Platform for ML-Driven Industrial Formulation Discovery | Beaucage, Peter; Martin, Tyler | To enable rational design of these materials, we must leverage theory, simulation, and machine learning (ML) tools to greatly reduce the expense of creating phase diagrams. | Session 25: Machine Learning and Data in Polymer Physics |

428 | Hybrid machine learning/materials science modeling for semi-crystalline polymer during film fabrication process | Yang, Jian; Karjala, Teresa; Mendenhall, Jonathan; Ginzburg, Valeriy; Patel, Rajen; Hamad, Fawzi; Lugo, Elva; Valavala, Pavan | In this report, we developed a new hybrid approach to combine the power of machine learning and fundamental materials science to characterize semi-crystalline PE, develop structure-property relationship and study the effect of fabrication conditions on physical properties during blown film fabrication process and to inform the design of new polymer structures. | Session 25: Machine Learning and Data in Polymer Physics |

429 | Machine Learning of Phase Transitions and Dynamical Crossovers in Polymers | Patra, Tarak; Bhattacharya, Debjyoti; Bale, Ashwin | We demonstrate this framework for coil to globule transition, crystallization and glass formation during cooling of polymers, and provide new physical insights of these processes. | Session 25: Machine Learning and Data in Polymer Physics |

430 | Rheology-Informed Neural Networks (RhINNs) for direct and inverse complex fluid modeling | Mahmoudabadbozchelou, Mohammadamin; Jamali, Safa | We present Rheology-Informed Neural Networks (RhINNs) architectures as alternative platforms to solve systems of Ordinary Differential Equations (ODEs) commonly used in rheological constitutive modeling of complex fluids. | Session 25: Machine Learning and Data in Polymer Physics |

431 | Design of Polymers for Energy Storage Capacitors Using Machine Learning and Evolutionary Algorithms | Kern, Joseph; Chen, Lihua; Kim, Chiho; Ramprasad, Rampi | By utilizing a genetic algorithm approach, we have designed hypothetical polymers with bandgaps above 5 eV, glass transition temperatures above 500 K, and dielectric constants above 4 at 100 Hz. | Session 25: Machine Learning and Data in Polymer Physics |

432 | Phase diagrams of polymer-containing liquid mixtures with a theory-embedded neural network | Nakamura, Issei | In this talk, we discuss our new built-in function that is constructed through coarse-grained mean-field theory and the scaling laws in polymer physics. | Session 25: Machine Learning and Data in Polymer Physics |

433 | Neural Network Prediction of Polymer-Solvent Coexistence Curves | Ethier, Jeffrey; Casukhela, Rohan; Latimer, Josh; Jacobsen, Matthew; Vaia, Richard | Focusing on available data (>2500 cloud points) on polystyrene in various solvents, we examine the precision of upper and lower critical solution co-existence predictions with various feature descriptors. | Session 25: Machine Learning and Data in Polymer Physics |

434 | Prediction of Block Copolymer Phase Behavior Using Machine Learning | Rebello, Nathan; Arora, Akash; Lin, Tzyy-Shyang; Av-Ron, Sarah; Olsen, Bradley | Given the challenges in physics-based methods, we develop a purely data-driven model to predict phase behavior for neat diblock copolymers and compare with SCFT. | Session 25: Machine Learning and Data in Polymer Physics |

435 | Deep Learning and Self-Consistent Field Theory: A Path Towards Accelerating Polymer Phase Discovery | Xuan, Yao; Delaney, Kris; Ceniceros, Hector; Fredrickson, Glenn | A new framework that leverages data obtained from self-consistent field theory (SCFT) simulations with deep learning to accelerate the exploration of parameter space for block copolymers is presented. | Session 25: Machine Learning and Data in Polymer Physics |

436 | Thermal conductivity, heat capacity and speed of sound of epoxy resins | lyu, guangxin; Evans, Christopher; Cahill, David | We established one efficient way (less than 8 minutes for each sample) to measure thermal conductivity, heat capacity and speed of sound of epoxy resin by frequency domain probe beam deflection (FD-PBD) and time domain thermoreflectance (TDTR). | Session 25: Machine Learning and Data in Polymer Physics |

437 | Using Machine Learning to Predict the Glass Transition Temperature of Polyimides | Wen, Chengyuan; Liu, Binghan; Wolfgang, Josh; Long, Timothy; Odle, Roy; Cheng, Shengfeng | To expedite the process of discovering new polyimides, an important high-temperature polymer, we apply a machine learning approach to predict their glass transition temperature (T g), which controls their processability and possible temperature window of applications. | Session 25: Machine Learning and Data in Polymer Physics |

438 | BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks | Berressem, Fabian; Nikoubashman, Arash | We find that the NNs provide much more accurate results compared to the analytic low-density limit estimate of the second virial coefficient. | Session 25: Machine Learning and Data in Polymer Physics |

439 | Data-driven tools to “fingerprint” soft material structuring in complex processing flows | Corona, Patrick; Berke, Barbara; Leal, L. Gary; Liebi, Marianne; Helgeson, Matthew | We introduce a new experimental methodology to “fingerprint” the microstructural response of complex fluids to nearly arbitrary flows and enable an alternative approach of data-driven modeling and design. | Session 25: Machine Learning and Data in Polymer Physics |

440 | Gaussian Processes and Deep Learning for Experimental Data | Ushizima, Daniela | This talk will give an introduction to the inner workings of the algorithms, how to use it, and will present a handful of examples. | Session 25: Machine Learning and Data in Polymer Physics |

441 | Meta-Reinforcement Learning as the Driver of Data Acquisition in Autonomous Polymer Discovery | Swaminathan, Sarath; Piunova, Victoria; Lionti, Krystelle; Nwabugwu, Chinyere; Sanders, Daniel; Zubarev, Dmitry | We report development of an end-to-end RL approach applied to preparation of spin-on-glasses (SOGs). | Session 25: Machine Learning and Data in Polymer Physics |

442 | Rational optimization of drug-membrane selectivity by computational screening | Mohr, Bernadette; Shmilovich, Kirill; Bereau, Tristan; Ferguson, Andrew | Our goal is to find compounds with high selectivity that can act as CL probes. | Session 26: Machine Learning for Biomolecular Design and Simulation |

443 | Learning molecular models from simulation and experimental data | Clementi, Cecilia | We present our efforts to bridge these gaps, by combining statistical physics with state-of-the-art machine-learning methods to design optimal coarse models for complex macromolecular systems. | Session 26: Machine Learning for Biomolecular Design and Simulation |

444 | Toward Transferable Deep Learning Atomistic Potential for Biomolecular Simulations | Isayev, Olexandr | The new model, dubbed ANI-2x, is trained to sulfur and halogens. | Session 26: Machine Learning for Biomolecular Design and Simulation |

445 | Accurate Molecular Polarizabilities with Coupled Cluster Theory and Machine Learning | Yang, Yang; Lao, Ka Un; Wilkins, David; Grisafi, Andrea; Ceriotti, Michele; Distasio, Robert | In this work, we present a benchmark database [1] of highly accurate static dipole polarizability tensors of 7,211 small organic molecules computed using linear response coupled cluster singles and doubles theory (LR-CCSD). | Session 26: Machine Learning for Biomolecular Design and Simulation |

446 | Machine Learning on a Quantum Hamiltonian shows that DNA is Much Stretchier than Classical Simulations Suggest | Berryman, Joshua | Thermodynamic calculations are made in explicit water using a machine learning molecular dynamics method, trained on a novel dataset of quantum calculations making an advanced treatment of dispersion interactions. | Session 26: Machine Learning for Biomolecular Design and Simulation |

447 | Machine learning for DNA self-assembly: a numerical case study | Appeldorn, Jörn; Nikoubashman, Arash; Speck, Thomas | We study the spontaneous self-assembly of two single-stranded DNA (ssDNA) fragments using the coarse-grained oxDNA2 implementation [1]. | Session 26: Machine Learning for Biomolecular Design and Simulation |

448 | Predicting Protein Developability via Convolutional Sequence Representation | Golinski, Alexander; Johnson, Bryce; Laxminarayan, Sidharth; Saha, Diya; Appiah, Sandhya; Hackel, Benjamin; Martiniani, Stefano | In this work, we evaluate the ability of neural networks to learn a developability representation from the HT dataset and transfer the knowledge to predict recombinant expression beyond the observed sequences. | Session 26: Machine Learning for Biomolecular Design and Simulation |

449 | Supremum modeling to extend model transferability in systems biology | Petrie, Cody; Anderson, Christian; Transtrum, Mark | I describe an approach to improve the transferablility of these reduced models. | Session 26: Machine Learning for Biomolecular Design and Simulation |

450 | Prospective experimental validation of machine learning for biological sequence design | Colwell, Lucy | In this setting, I will discuss model-based optimization approaches that allow us to take advantage of sample inefficient methods and find diverse optimal sequence candidates for experimental evaluation. | Session 26: Machine Learning for Biomolecular Design and Simulation |

451 | Recurrent networks for protein structure prediction using Frenet-Serret equations and latent residue representations | Bouatta, Nazim | We use a transfer matrix formalism, which enables reasoning over protein backbones using a discrete version of the Frenet-Serret equations (dFSE) that leverages the fact that protein backbones are intrinsically discrete one-dimensional curves. | Session 26: Machine Learning for Biomolecular Design and Simulation |

452 | Multi-fidelity integrated computational-experimental design of self-assembling π-conjugated optoelectronic peptides | Shmilovich, Kirill; Panda, Sayak; Tovar, John D.; Ferguson, Andrew | In this work we employ multi-fidelity Bayesian optimization to fuse experimental and computational datastreams for the design of self-assembling π-conjugated peptides with emergent optoelectronic properties. | Session 26: Machine Learning for Biomolecular Design and Simulation |

453 | Calculating the entropy of physical systems with Machine Learning | Bar-Sinai, Yohai | We present a novel method, termed MICE (Machine-learning Iterative Calculation of Entropy) for calculating the entropy by iteratively dividing the system into smaller subsystems and estimating the mutual information between each pair of halves. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

454 | Predicting Erosion Channel First Passage with Machine Learning | Khor, Isaac; Han, Li; Kudrolli, Arshad | We investigate statistical and machine learning approaches to predicting erosive headward growth in rivers with bimodal source distributions. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

455 | Machine Learning Prediction of Avalanche-like Events in Knitted Fabric | Douin, Adèle; Lechenault, Frederic; Bruneton, Jean-Philippe | We study the feasibility of predicting quantities such as next event amplitude or fault failure times by training a Neural Network algorithm to infer information from a series of past force signal and deformation field. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

456 | What makes a clog: characterizing 2D granular hopper flows using machine learning methods | Hanlan, Jesse; Durian, Douglas | We use a vertical, 2D hopper to image and track individual states, a new protocol to isolate unique configurations, and a novel machine learning analysis to leverage all the data, whether it is flowing or clogging. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

457 | Predicting Plasticity in 3D Model Glasses Using the Local Yield Stress Method | Ruan, Dihui; Patinet, Sylvain; Falk, Michael | We apply the LYS method to 3D Kob-Anderson glasses each with one million atoms in a ~ simulation box. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

458 | Predicting nonlinear stochastic and quantum dynamics without PDEs | Hastewell, Alasdair; Dunkel, Jorn | Here, we introduce a method that skips the model formulation step of the traditional prediction pathway by directly discovering the fundamental bases from data through an interpretable matrix factorization. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

459 | Soft Matter Physics for Machine Learning: Dynamical loss functions | Ruiz Garcia, Miguel; Zhang, Ge; Schoenholz, Sam; Liu, Andrea | So far, most effort has focused on improving the algorithm (e.g. stochastic gradient descent). | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

460 | Large-scale visualization with machine learning of dislocation networks in colloidal single crystals | Svetlizky, Ilya; Kim, Seongsoo; Pahng, Seong Ho; Curatolo, Agnese; Brenner, Michael; Weitz, David; Spaepen, Frans | To visualize the large-scale collective dislocation dynamics in colloidal single crystals, we developed a laser diffraction imaging technique inspired by the classical TEM imaging methods in atomic systems. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

461 | Statistical properties of ridge networks in crumpled sheets | CVeghes@clarku.edu, Catalin; Han, Li; Kudrolli, Arshad | We study a folding model of crumpled paper using a flat folding and d-fold algorithm introduced by Hofmann, et al. (2019). | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

462 | Machine Learning of Mechanisms in Combinatorial Metamaterials | van Mastrigt, Ryan; Coulais, Corentin; Van Hecke, Martin; Dijkstra, Marjolein | Here we employ machine learning techniques to explore combinatorial metamaterial design. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

463 | Simplifying Physics Informed Neural Networks in case of periodicity to address low quality and sparse data while solving differential equations : an application in fluid dynamics. | Raynaud, Gaétan; Gosselin, Frederick; Houde, Sébastien | To tackle that issue in the presence of periodic dynamics, we introduce ModalPINN where a truncated Fourier decomposition is enforced directly into the neural network’s structure. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

464 | Neuromorphics for network inference: new techniques and validation in opto-electronic experiments | Banerjee, Amitava; Hart, Joseph; Roy, Rajarshi; Ott, Edward | We devise a machine learning technique to solve the general problem of inferring network links with time-delays purely from time-series data of the network nodal states. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

465 | Reconstruction of Protein Structures from Single-Molecule Time Series | Topel, Maximilian; Ferguson, Andrew | Applying Takens’ Theorem and tools from statistical mechanics, manifold learning, neural networks, and graph theory, we establish an approach Single-molecule TAkens Reconstruction (STAR) to learn this Jacobian and reconstruct all atom trajectories from experimentally-measurable scalar observables. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

466 | Deep learning enabled wavefront shaping in complex cavities with a binary tunable metasurface | Frazier, Benjamin; Antonsen, Thomas; Anlage, Steven | In this work, we show how deep learning can be leveraged to optimize the metasurface commands without relying on a blind iterative optimization approach. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

467 | Self-learning machines based on time reversal | Lopez Pastor, Victor; Marquardt, Florian | We introduce a general scheme to use any time-reversible Hamiltonian system as a self-learning machine. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

468 | Learning active hydrodynamics from particle simulations | Supekar, Rohit; Song, Boya; Hastewell, Alasdair; Mietke, Alexander; Dunkel, Jorn | Here, we present a framework that leverages sparse regression learning algorithms to discover PDE models from coarse-grained microscopic data, while incorporating the relevant physical symmetries. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

469 | Machine learning active-nematic hydrodynamics | Colen, Jonathan; Han, Ming; Zhang, Rui; Redford, Steven; Lemma, Linnea; Morgan, Link; Ruijgrok, Paul; Adkins, Raymond; Bryant, Zev; Dogic, Zvonimir; Gardel, Margaret; De Pablo, Juan; Vitelli, Vincenzo | Hydrodynamic theories effectively describe many-body systems out of equilibrium in terms of a few macroscopic parameters. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

470 | Tracking Islands on Smectic Bubbles using Machine Learning | Chowhury, Ravin; Hedlund, Eric; Green, Adam; Park, Cheol; MacLennan, Joseph; Clark, Noel | We apply modern advances in deep learning to identify and track these islands in a novel way. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

471 | Data-Driven Classical Density Functional Theory: A Case for Physics Informed Learning | Yatsyshin, Petr; Kalliadasis, Serafim; Duncan, Andrew | In the present talk we explore the synthesis of both these paradigms, applied to modelling classical many-body systems. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

472 | Extracting Dynamical laws in Dusty Plasmas using Machine Learning | Yu, Wentao; Gogia, Guram; Burton, Justin | Instead, simulated data with known underlying governing equations are used to train models. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

473 | Learning the Constitutive Relation of Polymeric Flows with Memory | Seryo, Naoki; Sato, Takeshi; Molina, John; Taniguchi, Takashi | We develop a learning strategy to infer the constitutive relation for the stress of polymeric flows with memory. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

474 | Defect Annihilation in Liquid Crystal Physics: Using Deep Learning to Probe the Dynamics of Defects | Green, Adam; Chowdhury, Ravin; Minor, Eric; Howard, Stian; Park, Cheol; Clark, Noel | In this work, we apply these machine learning methods to analyze high-speed microscopy images of defect annihilation in quenched films. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

475 | Machine Learning approach to the discrimination of phospholipid gel and fluid states in lipid bilayers. | Walter, Vivien; Ruscher, Céline; Marques, Carlos; Benzerara, Olivier; Thalmann, Fabrice | The two-states model of the phospholipid gel-fluid transition was introduced in the late seventies, and is still routinely used to interpret calorimetric data in the field of lipid membranes [1]. | Session 27: Machine Learning in Nonlinear Physics and Mechanics |

476 | Decoding the physical principles of biomolecular phase separation | Zhang, Yaojun; Xu, Bin; Weiner, Benjamin; Meir, Yigal; Wingreen, Ned | We combined coarse-grained molecular dynamics simulations and analytical theory to investigate how the macroscopic phase boundaries and physical properties of condensates depend on the microscopic properties of the polymers and the concentration ratio between polymer species. | Session 28: Macromolecular Phase Separation |

477 | Reentrant transitions in protein phase-separation: segregation vs. association | Deviri, Dan; Safran, Samuel | We use Flory Huggins theory to predict the phase diagrams of scaffold-client-solvent ternary solutions. | Session 28: Macromolecular Phase Separation |

478 | Fusion of Biomolecular Condensates | Ijavi, Mahdiye; Sturzenegger, Flurin; Schuler, Benjamin; Dufresne, Eric | To identify the limitations of this technique, we compare the dynamics of fusion for droplets in contact with a surface to droplets in the bulk of a solution. | Session 28: Macromolecular Phase Separation |

479 | Novel “dark state” phosphate cluster formation in aqueous solution | Straub, Joshua; Nowotarski, Mesopotamia; Lu, Jiaqi; Helgeson, Matthew; Jerschow, Alexej; Han, Songi | We present novel studies in which the behavior of phosphates with increasing temperature via 31P NMR exhibit anomalous relaxation, indicating the presence of a novel phosphate state. | Session 28: Macromolecular Phase Separation |

480 | Non-equilibrium regulation and organization of transcriptional condensates by RNA synthesis | Shrinivas, Krishna; Henninger, Jonathan; Oksuz, Ozgur; Schede, Halima; Sharp, Phillip; Young, Richard; Chakraborty, Arup | We leverage approaches from non-equilibrium statistical physics and complex coacervates to propose a model by which RNA, the product of gene expression, regulates transcriptional condensate dynamics. | Session 28: Macromolecular Phase Separation |

481 | Quantitative Theory for the Diffusive Exchange Dynamics of Liquid Condensates | Hubatsch, Lars; Jawerth, Louise; Love, Celina; Bauermann, Jonathan; Tang, TY; Bo, Stefano; Hyman, Anthony; Weber, Christoph | Using the theory of phase separation we derive a framework that quantitatively captures the diffusive transport of labeled droplet components. | Session 28: Macromolecular Phase Separation |

482 | Surface condensation of a pioneer transcription factor on DNA | Morin, Jose; Wittmann, Sina; Choubey, Sandeep; Klosin, Adam; Golfier, Stefan; Hyman, Anthony; Julicher, Frank; Grill, Stephan | Here we investigate the role of DNA in nucleation of condensates, using the pioneer transcription factor KLF-4. | Session 28: Macromolecular Phase Separation |

483 | Quantitative phase microscopy enables precise and efficient determination of biomolecular condensate composition | McCall, Patrick; Kim, Kyoohyun; Fritsch, Anatol; Iglesias-Artola, Juan; Jawerth, Louise; Wang, Jie; Ruer, Martine; Poznyakovskiy, Andrey; Peychl, Jan; Guck, Jochen; Alberti, Simon; Hyman, Anthony; Brugués, Jan | Here we combined quantitative phase microscopy and the physics of sessile droplets to measure the shape and composition of individual model condensates. | Session 28: Macromolecular Phase Separation |

484 | Elastically limited liquid-liquid phase separation | Ronceray, Pierre; Mao, Sheng; Kosmrlj, Andrej; Haataja, Mikko | We propose simple criteria for which scenario is preferred, introducing a phase diagram controlled by the trade-off between elastic modulus, liquid-liquid surface tension, and liquid-network wetting properties. | Session 28: Macromolecular Phase Separation |

485 | Phase separation controlled by molecular transitions | Bartolucci, Giacomo; Adame-Arana, Omar; Zhao, Xueping; Weber, Christoph | Here, we derive a minimal model of a phase-separating ternary mixture where two components can convert into each other. | Session 28: Macromolecular Phase Separation |

486 | Liquid condensates increase potency of amyloid fibril inhibitors | Michaels, Thomas; Mahadevan, Lakshminarayanan; Weber, Christoph | Here we study the interplay between protein aggregation, its inhibition and liquid-liquid phase separation. | Session 28: Macromolecular Phase Separation |

487 | Characterization of the functional relevance of intranuclear transcription factor aggregates in living fly embryos | Munshi, Rahul; Levo, Michal; Wieschaus, Eric; Gregor, Thomas | Here, we employ live imaging and quantitative analyses in early fly embryos to visualize and characterize such TF aggregates and simultaneously measure target gene activity. | Session 28: Macromolecular Phase Separation |

488 | Phase-separated compartments as biochemical reactors | Laha, Sudarshana; Michaels, Thomas; Weber, Christoph | Here, we derive a theoretical framework to study fuel driven chemical reactions in the presence of compartments. | Session 28: Macromolecular Phase Separation |

489 | Aging of Protein Condensates | Jawerth, Louise | Here, we present our efforts to quantify these new materials as they age in vitro. | Session 28: Macromolecular Phase Separation |

490 | Liquid network connectivity regulates the stability and composition of biomolecular condensates with many components | Espinosa, Jorge; Joseph, Jerelle; Sanchez-Burgos, Ignacio; Garaizar, Adiran; Frenkel, Daan; Collepardo-Guevara, Rosana | Using a minimal coarse-grained model that allows us to simulate thousands of interacting multivalent proteins, we provide predictive rules governing the stability and composition of multicomponent biomolecular condensates. | Session 28: Macromolecular Phase Separation |

491 | Sequence dependence of biomolecular condensates | Weiner, Benjamin; Meir, Yigal; Wingreen, Ned | Using lattice-polymer simulations and mean-field theory, we show that the sequence of binding motifs strongly affects a polymer’s ability to phase separate, influencing both phase boundaries and condensate properties (e.g. viscosity and polymer extension). | Session 28: Macromolecular Phase Separation |

492 | Guiding growing droplets through the cytoskeleton | Boeddeker, Thomas; Rosowski, Kathryn; Dufresne, Eric | Here, we study the interactions of stress granules, a phase-separated protein-RNA droplet in the cytosol, with the heterogeneous networks of actin and microtubules. | Session 28: Macromolecular Phase Separation |

493 | Round Tubulin Droplet Formation in Presence of Cross-linkers | Sahu, Sumon; Ross, Jennifer | Surprisingly, we have observed that tubulin, a well-characterized enzyme that polymerizes into microtubules, can display droplet-like phase separation in the presence of a small molecule crosslinker, Sulfo-SMCC, and a microtubule-associated protein, MAP65. | Session 28: Macromolecular Phase Separation |

494 | BIAPSS – comprehensive bioinformatic analysis of liquid-liquid phase separating sequences | Badaczewska-Dawid, Aleksandra Elzbieta; Potoyan, Davit | The bioinformatic analysis provides us with the knowledge about sequence conservation, secondary structure preferences, solvent accessibility, contacts, charge decoration, AA composition, and short linear motifs detection. | Session 28: Macromolecular Phase Separation |

495 | Cavitation controls droplet sizes in elastic media | Vidal, Estefania; Zwicker, David | We show that large droplets only form when they fracture the surrounding matrix in a cavitation event. | Session 28: Macromolecular Phase Separation |

496 | Hierarchical assembly encodes functional structure within liquid condensates | Bhandari, Kamal; Schmit, Jeremy | We propose a general model in which functional structure can be embedded with a liquid when the molecules assemble hierarchically via interactions that vary widely in affinity. | Session 28: Macromolecular Phase Separation |

497 | Systematic investigation of a two-fluid model describing ion-induced volume phase transition in polyelectrolyte gels | Mussel, Matan; Lewis, Owen; Basser, Peter; Horkay, Ferenc | Here we report a systematic investigation of a two-fluid model describing the dynamic response of the coupled components (polymer network, solvent, and charged ions). | Session 28: Macromolecular Phase Separation |

498 | Liquid-Liquid Phase Separation of Inorganic Polyphosphate; the Complexities of a Simple Model | Seppala, Hannah; Banerjee, Priya | Here, we will present data depicting the phase behavior of polyP, showing that it forms a wide variety of condensates through liquid-liquid phase separation with numerous cations, including divalent salts, polyamines, and proteins. | Session 28: Macromolecular Phase Separation |

499 | Specific recognition and recruitment of client molecules by a liquid phase | Bhandari, Kamal; Schmit, Jeremy | Based on theoretical modeling, we propose that molecules are highly aligned to form zipper structures and these zippers have defects in the bonding structure that allow for the subsequent formation of a network. | Session 28: Macromolecular Phase Separation |

500 | Computational modeling of liquid-liquid phase separation and cargo encapsulation in self-assembling microcompartments | Mohajerani, Farzaneh; Sayer, Evan; Neil, Christopher; Inlow, Koe; Hagan, Michael | We develop equilibrium theory and dynamical computational model to describe assembly of a protein shell around cargo and scaffold molecules, with cargo coalescence and encapsulation provided by scaffold-mediated interactions. | Session 28: Macromolecular Phase Separation |

501 | ATPase-Dependent Enzyme Activity Modulates the Dynamics of a Model Biological Condensate | Coupe, Sebastian; Fakhri, Nikta | Here, we use the model phase-separating DEAD-box helicase LAF-1. | Session 28: Macromolecular Phase Separation |

502 | Finite-size transitions in membranes | Girard, Martin; Bereau, Tristan | In this talk, I will show that by carefully extending the 2D Ising model to N states, finite-size effects drive the system to adopt a critical composition. | Session 28: Macromolecular Phase Separation |

503 | Signaling outcomes driven by critical fluctuations | Schaffner, Taylor; Machta, Benjamin | Here we present a model and Monte-Carlo simulation framework for proteins coupled to their surrounding lipid membrane using a modified 2D Ising model. | Session 28: Macromolecular Phase Separation |

504 | Gelation and phase separation in LAT membrane complexes | GrandPre, Trevor; Limmer, David | We have developed a particle based reaction diffusion model of LAT that incorporates multivalent bonding and diffusive dynamics to study the kinetics and thermodynamics of condensate formation. | Session 28: Macromolecular Phase Separation |

505 | Molecular Model of Multi-Phasic Biomolecular Condensates | Kaur, Taranpreet; Raju, Muralikrishna; Alshareedah, Ibraheem; Davis, Richoo; Potoyan, Davit; Banerjee, Priya | Using a minimalistic system, comprising of a Prion-like disordered polypeptide (PDP), an Arginine-rich disordered polypeptide (RDP), and RNA, we investigate the thermodynamics of multicomponent intracellular phase behavior. | Session 28: Macromolecular Phase Separation |

506 | Effects of Membrane-Curvature on Amyloid-Beta Aggregation | Sahoo, Abhilash | In this work, we have explored the effects of membrane curvature on Aβ 16–22 aggregation, using physics-based coarse-grained molecular simulations of model membranes composed of phosphatidylcholine lipids. | Session 28: Macromolecular Phase Separation |

507 | Diffusion in a membrane in the presence of immobile obstacles: the role of disorder | Ilow, Nicholas; Slater, Gary | We present a study of transient and steady-state molecular diffusion in two-dimensional ”Fuzzy” systems of immobile obstacles, i.e., systems which bridge the gap between the ideal periodic and random limits. | Session 28: Macromolecular Phase Separation |

508 | Towards Understanding Antibiotic Permeation Across The Gram-negative Bacteria Outer Membrane Using Molecular Dynamics Simulations | Deylami, Javad; Chng, Shu Sin; Yong, Ee Hou | To shed light on the energetics of antibiotic permeation across the outer membrane, we employed a molecular dynamics (MD) simulation approach to obtain the free energy profiles as various clinically important antibiotics were pulled across an Escherichia coli outer membrane model. | Session 28: Macromolecular Phase Separation |

509 | Miscibility tricritical points in asymmetric lipid bilayers | Wang, Anjiabei; Machta, Benjamin; Graf, Isabella | To investigate the conditions under which such a tricritical point occurs, we consider an Ising-type lattice model with two coupled layers representing the two leaflets of cell membranes. | Session 28: Macromolecular Phase Separation |

510 | Interaction and assembly of graphene oxide nano-flakes in lipid membranes | MANDAL, PRIYA; Giri, Rajendra; Bhattacharya, Gourav; Bhattacharyya, Arpan; Roy, Susanta; Murphy, Bridget; Ghosh, Sajal | Interaction and assembly of graphene oxide nano-flakes in lipid membranes | Session 28: Macromolecular Phase Separation |

511 | Constructing molecularly-informed field theories from bottom-up coarse-graining: Rethinking how we engineer soft matter formulations | Sherck, Nick; Shen, Kevin; Nguyen, My; Yoo, Brian; koehler, Stephan; Speros, Joshua; Delaney, Kris; Shell, M. Scott; Fredrickson, Glenn | To overcome the weaknesses of both, we use small-scale, atomistic simulations to parameterize the statistical field theory models. | Session 28: Macromolecular Phase Separation |

512 | Surface Phases in Polymer Mixtures and Critical Membranes | Rouches, Mason; Veatch, Sarah; Machta, Benjamin | Here we explore the physical underpinnings of these domains. | Session 28: Macromolecular Phase Separation |

513 | Chromatin Mechanics Dictates Subdiffusion and Coarsening Dynamics of Embedded Condensates | Lee, Daniel; Wingreen, Ned; Brangwynne, Cliff | Here, we utilize a powerful optogenetic strategy to examine the interplay of droplet coarsening with the surrounding chromatin network. | Session 28: Macromolecular Phase Separation |

514 | Quantifying Phase Behavior and Material Properties of Multicomponent Biomolecular Condensates | Pullara, Paul; Alshareedah, Ibraheem; Banerjee, Priya | Here we study how variations in RNA-to-protein stoichiometry modulate the phase behavior and condensed phase fluid dynamics. | Session 28: Macromolecular Phase Separation |

515 | Recent Progress on 3D Chiral Mechanical Metamaterials | Wegener, Martin | Concerning the static regime, we will present novel architectures that allow for bringing the push-to-twist conversion effects previously reported by us to much larger absolute values at larger numbers of unit cells. | Session 29: Mechanical Metamaterials I – Novel Mechanics and Shape Morphing |

516 | Chirality-induced Normal-Shear Coupling Effects of Auxetic Chiral Mechanical Metamaterial | Liu, Siyao; Li, Yaning | Chirality-induced Normal-Shear Coupling Effects of Auxetic Chiral Mechanical Metamaterial | Session 29: Mechanical Metamaterials I – Novel Mechanics and Shape Morphing |

517 | Reconfigurable Kirigami | Choi, Gary; Dudte, Levi; Mahadevan, L. | We depart from this simple paradigm by proposing a framework for the design of compact reconfigurable kirigami patterns, which can morph from a closed and compact configuration into a deployed state conforming to any prescribed target shape, and subsequently be contracted into a different closed and compact configuration. | Session 29: Mechanical Metamaterials I – Novel Mechanics and Shape Morphing |

518 | Topology Restricts Quasidegeneracy in Sheared Square Colloidal Ice | Oguz, Erdal; Ortiz ambriz, Antonio; Shem-Tov, Hadas; Babia-Soler, Eric; Tierno, Pietro; Shokef, Yair | We combine experiments, theory, and numerical simulations to demonstrate that sheared square colloidal ice partially recovers the ground-state degeneracy for a wide range of field strengths and lattice shear angles. | Session 29: Mechanical Metamaterials I – Novel Mechanics and Shape Morphing |

519 | Liquid-induced topological transformations of cellular microstructures | Deng, Bolei; Li, Shucong; Bertoldi, Katia; Aizenberg, Joanna | Here we introduce a two-tiered dynamic strategy to achieve systematic reversible transformations of the fundamental topology of cellular microstructures that can be applied to a wide range of material compositions and geometries. | Session 29: Mechanical Metamaterials I – Novel Mechanics and Shape Morphing |

520 | Screening of topological defects in elastic metamaterials | Sokolov, Tal; Shapira, Bar; Bar-Sinai, Yohai; Moshe, Michael; Lahini, Yoav | Here we demonstrate experimentally, and describe analytically, an exotic mechanical response of two dimensional elastic metamaterials – screening of the long-range elastic fields induced by topological defects (disclinations). | Session 29: Mechanical Metamaterials I – Novel Mechanics and Shape Morphing |

521 | Systematic Exploration on the Effective Mechanical Properties of Three-Dimensional Chiral Auxetic Mechanical Metamaterials | Li, Tiantian; Li, Yaning | Based on a monoclinic anisotropic model, an integrated numerical-analytical method is developed to model the constitutive behavior of chiral mechanical metamaterials. | Session 29: Mechanical Metamaterials I – Novel Mechanics and Shape Morphing |

522 | Oligomodal Mechanical Metamaterials | Dykstra, David; Bossart, Aleksi; van der Laan, Jop; Coulais, Corentin | Here, we introduce a novel class of oligomodal metamaterials that encode a few but fixed number of distinct properties that can be selectively controlled under uniaxial compression. | Session 29: Mechanical Metamaterials I – Novel Mechanics and Shape Morphing |

523 | Totimorphs | Chaudhary, Gaurav; Prasath, S Ganga; Soucy, Edward; Mahadevan, L. | We describe a mechanism by which a unit of zero stiffness structure can be assembled to create objects that can morph into multiple arbitrarily complex target shapes. | Session 29: Mechanical Metamaterials I – Novel Mechanics and Shape Morphing |

524 | Topological, reconfigurable load-bearing cellular origami | Pasini, Damiano; Jamalimehr, Amin; Mirzajanzadeh, Morad | Inspired by notions of origami and kirigami, we introduce here a class of reconfigurable load-bearing cellular materials that can be easily realized to reversibly fold into multiple states, lock sturdily to bear the applied loads, as well as display omnidirectional compressive stiffness. | Session 29: Mechanical Metamaterials I – Novel Mechanics and Shape Morphing |

525 | A reprogrammable mechanical metamaterial with stable memory | Chen, Tian; Pauly, Mark; Reis, Pedro | Here, to overcome this challenge, we demonstrate a design framework for a tileable mechanical metamaterial with stable memory at the unit cell level. | Session 29: Mechanical Metamaterials I – Novel Mechanics and Shape Morphing |

526 | Multistable inflatable origami structures at themeter-scale | Melancon, David; Bertoldi, Katia; Gorissen, Benjamin; Hoberman, Chuck | Here, we draw inspiration from origami, the Japanese art of paper folding, to design rigid-walled deployable structures that are multistable and inflatable. | Session 30: Mechanical Metamaterials II – Multistability |

527 | From bifurcation to snap-through buckling of elastic thin shells for soft robotic materials | Pasini, Damiano; Qiao, Chuan | This paper examines elastic thin shells with a large axisymmetric imperfection that can escape the classical bifurcation of perfect spherical shells. | Session 30: Mechanical Metamaterials II – Multistability |

528 | The twisting mechanics of undulated ribbons: theory and application to morphing structures | McMahan, Connor; Celli, Paolo; Lamaro, Alice; Bordeenithikasem, Punnathat; Hofmann, Douglas; Daraio, Chiara | We join multiple ribbons to create deployable systems with complex morphing attributes enabled by the intrinsic chirality of the building blocks. | Session 30: Mechanical Metamaterials II – Multistability |

529 | Stretching to bend: tension-induced curving of textured soft ribbons | Siéfert, Emmanuel; Cattaud, Nicolas; Reyssat, Etienne; Roman, Benoit; Bico, Jose | We study this phenomenon through model experiments, and describe analytically how the orientation and geometry of the decorating ribs influence the sign and amplitude of the curvature. | Session 30: Mechanical Metamaterials II – Multistability |

530 | A reusable and rate-independent energy-absorbing metamaterial | Chen, Yuzhen; Jin, Lihua | This work reports a new strategy for designing reusable and rate-independent energy-absorbing metamaterials. | Session 30: Mechanical Metamaterials II – Multistability |

531 | Metamaterials that can count | Kwakernaak, Lennard | In particular we present a metamaterial that displays counting behaviour in response to compressive cycles. | Session 30: Mechanical Metamaterials II – Multistability |

532 | Temperature-dependent critical buckling strains and elastic constants in thermalized nanoribbons | Yllanes, David; Hanakata, Paul; Bhabesh, Sourav; Bowick, Mark; Nelson, David | We study, using theory and simulations, thin ribbons under longitudinal compressions and an out-of-plane perturbing field at a wide variety of temperatures. | Session 30: Mechanical Metamaterials II – Multistability |

533 | Topological defects steer stresses in two- and three-dimensional combinatorial mechanical metamaterials | Pisanty, Ben; Oguz, Erdal; Nisoli, Cristiano; Shokef, Yair | Relying on an analogy to ferromagnetic and antiferromagnetic binary spin interactions, we present a universal approach to detect and analyze mechanical defects in two and three dimensions and for arbitrary building blocks. | Session 30: Mechanical Metamaterials II – Multistability |

534 | Exploiting symmetry and a new conservation law for designing multistable eight-fold origami structures | Grasinger, Matthew; Gillman, Andrew; Buskohl, Philip | In this talk, we investigate the multistability properties of a classic origami base: the symmetric eight-fold waterbomb. | Session 30: Mechanical Metamaterials II – Multistability |

535 | Characterizing the mechanics of permanent creases in folded films | Dharmadasa, Yasara; Lopez Jimenez, Francisco | Our work focuses on characterizing the behavior of permanent creases and developing modelling techniques to predict the behavior of foldable structures. | Session 30: Mechanical Metamaterials II – Multistability |

536 | Ising-like transitions and anomalous thermal expansion in fluctuating membranes with puckered impurity arrays | Hanakata, Paul; Plummer, Abigail; Nelson, David | In this work, we present molecular dynamics simulations of elastic membranes with dilational impurities arranged in a square lattice. | Session 30: Mechanical Metamaterials II – Multistability |

537 | Multifunctional disordered elastic networks: Designed response of mechanical metamaterials | Liarte, Danilo; Stenull, Olaf; Thornton, Stephen; Sethna, James; Lubensky, Tom | We introduce two periodic lattice models that access negative values of the Poisson ratio, one of which accesses the full range from -1 to +1. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

538 | Programming impulsive deformation with mechanical metamaterials | Liang, Xudong; Crosby, Alfred | Here, we demonstrate that specific internal structural designs can offer the ability to tune quasi-static and high-speed recoil independently to control energy storage and conversion processes. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

539 | Non-Hermitian topological metamaterials with odd elasticity | Zhang, Junyi; Zhou, Di | We establish non-Hermitian topological mechanics in one-dimensional (1D) and 2D lattices consisting of mass points connected by metabeams that lead to odd elasticity. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

540 | Input-independent frequency conversion through transition waves in bistable metabeams | Hwang, Myungwon; Arrieta, Andres | In this study, the input-independence characteristics of bistable lattices are extended to architectures exhibiting dynamics in two different size scales: the microscale excitation in the unit cell level and the macroscale response in the structural level. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

541 | Deformation controlled negative group velocity state in soft composites | Arora, Nitesh; Qi, Yao; Slesarenko, Viacheslav; Li, Jian; Galich, Pavel; Rudykh, Stephan | Here, we reveal the existence of a state in soft composites – layered and 3D fiber composites, characterized by negative group velocity. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

542 | Dynamics of rotationally symmetric elastic quasicrystals: numerical and experimental investigations | Nora Rosa, Matheus; Beli, Danilo; De Marqui, Carlos; Ruzzene, Massimo | In this talk, we investigate a family of continuous elastic quasicrystals with different rotational symmetry orders that are directly enforced through a design procedure in reciprocal space. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

543 | Closed-form existence conditions for band-gap resonances in a 1D linear elastic diatomic lattice with general boundary conditions | Bastawrous, Mary V.; Hussein, Mahmoud I. | In this work, closed-form existence conditions are derived for band-gap resonances in discrete diatomic chains with general boundary conditions and arbitrary chain parity. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

544 | Topological gaps in 2D locally resonant meta-structures via twisting | Guo, Yuning; Rosa, Matheus; Ruzzene, Massimo; Prodan, Emil | Herein, we present a reconfigurable 2D elastic plate featuring arrays of resonators with tunable on-site frequency. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

545 | Mechanical vibration and acoustic bandgaps in lattices and triply periodic bi-continuous composites | Lee, Dong-Wook; Alhammadi, Alya; Almheiri, Mahra; Alzaabi, Fatima; Al Teneiji, Mohammed | In this work, phononic and acoustic bandgaps and phonon dispersion and sound attenuation curves in lattices and triply periodic bi-continuous composites, which are based on the Schwarz’ Primitive and Diamond and Schoen’s I-WP and Gyroid, are found and the widths of these bandgaps are depending on volume fraction and these bandgaps can be controlled by the choice of cell type, size and volume fraction and utilized to control vibration and noise. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

546 | Klein-like tunneling in acoustic metamaterials | Sirota, Lea | Here I present a realization of a completely analogous tunneling effect in a classical, effectively continuous acoustic metamaterial. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

547 | Topological Mechanics and Nonlinearity | Chaunsali, Rajesh; Theocharis, Georgios | In this presentation, we will talk about our recent efforts to understand the interplay of nonlinearity and topology in mechanical systems. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

548 | Mechanical Metamaterials with Strain-Rate Adaptive Energy Absorption | Kang, Sung | We envision our study can contribute to lightweight extreme energy-dissipating materials with applications including personnel protection and automotive and aerospace parts. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

549 | Effective wave transmission at interfaces between metamaterials. | Deshmukh, Kshiteej; Dayal, Kaushik | Our aim is to determine the scattering coefficients that satisfy the conservation of energy flux and find the appropriate jump conditions to be satisfied at the interface. | Session 31: Mechanical Metamaterials III – Vibrations and Nonlinearity |

550 | Correlated Dilution of Filamentous Networks Leads to Reentrant Rigidity Percolation | Michel, Jonathan; Wyse Jackson, Thomas; von Kessel, Gabriel; Bonassar, Lawrence; Cohen, Itai; Das, Moumita | We again find a peak in the measure of non-affinity of network displacement to coincide with rigidity percolation, but observe that this peak becomes higher and broader with increasing correlation. | Session 32: Mechanics of Cells and Tissues |

551 | Detecting force transmission pathways in 3D fibrin networks | Hu, Qingda; Botvinick, Elliot | Here we detect which fibers respond to an applied force using fluorescence confocal microscopy and optical tweezers in a 3D fibrin hydrogel. | Session 32: Mechanics of Cells and Tissues |

552 | Rigidity and fracture of biopolymer double networks | Lwin, Pancy; Sindermann, Andrew; Sutter, Leo; Wyse Jackson, Thomas; Cohen, Itai; Bonassar, Lawrence; Das, Moumita | We study a model that combines two structure-function frameworks – a double network (DN) made of a stiff network and a flexible network, and rigidity percolation theory. | Session 32: Mechanics of Cells and Tissues |

553 | Optimal elasticity of biological networks | Ronellenfitsch, Henrik | Inspired by the hierarchically organized scaffolding networks found in plant leaves, here we model networks of bending beams that capture the discrete and non-uniform nature of natural materials. | Session 32: Mechanics of Cells and Tissues |

554 | Mechanobiology of hyaluronan-rich glycocalyx: How do giant polymers modulate cell adhesion. | Jing, Yu; Cohen, Shlomi; Faubel, Jessica; Wei, Wenbin; Curtis, Jennifer | To examine the physical role of HA glycocalyx, we developed a biomimetic glycocalyx consisting of a microns-thick hyaluronan polymer brush. | Session 32: Mechanics of Cells and Tissues |

555 | Role of cellular rearrangement time delays on the rheology of vertex models for confluent tissues | Erdemci-Tandogan, Gonca; Manning, M. Lisa | In this work, we incorporate this idea by augmenting vertex models to require a fixed, finite time for T1 transitions, which we call the “T1 delay time”. | Session 32: Mechanics of Cells and Tissues |

556 | A Rigidity Percolation Framework to Understand How Biologically Induced Changes in Constituent Composition Alter Cartilage Shear Mechanics | Wyse Jackson, Thomas; Michel, Jonathan; Lwin, Pancy; Bartell, Lena; Fortier, Lisa; Das, Moumita; Bonassar, Lawrence; Cohen, Itai | We present experiments and theory in support of a rigidity percolation framework that explains how the shear properties of cartilage depend on the concentrations of both constituents. | Session 32: Mechanics of Cells and Tissues |

557 | Variations in the extensibility of fibrin fibers | Helms, Christine | We found that conditions during fiber formation play a significant role in fibrin extensibility. | Session 32: Mechanics of Cells and Tissues |

558 | Membrane deflection due to ultrasound results in cellular depolarization | Vasan, Aditya; Orosco, Jeremy; Magaram, Uri; Ramirez, Mark; Chalasani, Sreekanth; Friend, James | We have developed a model that predicts membrane deflection due to an ultrasound stimulus, and verified the results of this model with novel measurements of the membrane’s motion using high-speed digital holographic microscopy. | Session 32: Mechanics of Cells and Tissues |

559 | Real-time imaging of fibrin-bead networks under compression | Carroll, Bobby; Patteson, Alison | Here, we develop a custom compression device that allows for real-time imaging of the local micro-structure in the fibrin-bead network. | Session 32: Mechanics of Cells and Tissues |

560 | Viscoelastic properties of tissues in the vertex model | Tong, Sijie; Singh, Navreeta; Sknepnek, Rastko; Kosmrlj, Andrej | It was previously demonstrated that the vertex model can describe both the solid- and fluid-like behavior by tuning the target cell-shape parameter p 0=P 0/sqrt[A 0], where P 0 and A 0 are the preferred perimeter and area of cells, respectively. | Session 32: Mechanics of Cells and Tissues |

561 | Programming Sequences in Multistable Mechanical Metamaterials | Bertoldi, Katia; Zanaty, Mohamed; Van Hecke, Martin | Here, we focus on a model system comprising a 1D array of rigid blocks connected by rigid levers and a linear spring and use a combination of experiments and analyses to study the effect of geometric parameters on the deformation sequences that emerge when the displacement of the top unit is controlled. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

562 | Sequential snapping of hysterons in a biholey metamaterial | Ding, Jiangnan; Van Hecke, Martin | We show how to construct metamaterials that exhibit a sequence of actions under monotonic input. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

563 | Controlled pathways in corrugated sheets | bense, hadrien; Van Hecke, Martin | Here we introduce mechanical driving of corrugated elastic sheets to precisely observe and manipulate complex, multi-step pathways. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

564 | Memory and aging in the cyclic crumpling of a film | Dong, Pan; He, Mengfei; Keim, Nathan; Paulsen, Joseph | Here we study a thin cylindrical shell under cyclic loading. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

565 | Encoding, retrieving and erasing mechanical memories in a crumpled sheet | Shohat, Dor; Hexner, Daniel; Lahini, Yoav | We study the behavior of crumpled sheets under cyclic strain. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

566 | Non-commuting Mechanical Metamaterials | Singh, Amitesh; Labousse, Matthieu; Van Hecke, Martin | Here, we introduce an elegant solution in the form of non-commuting mechanical metamaterials, which are sensitive to the magnitude as well as the order of inputs. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

567 | Topological Memory and Hysteresis in Ice-like Mechanical Metamaterials | Merrigan, Carl; Shokef, Yair; Nisoli, Cristiano | We present a mechanical analogue of artificial spin ice built up from bistable square cells that act as simple mechanical hysterons. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

568 | Novel memory formation in interacting hysterons | Lindeman, Chloe; Nagel, Sidney | Novel memory formation in interacting hysterons | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

569 | Multiperiodic orbits in a model of interacting soft spots in cyclically-sheared amorphous solids | Keim, Nathan; Paulsen, Joseph | We investigate multiperiodicity in a simplified coarse-grained model of soft spots—locations where particles rearrange under stress—and we identify simple routes to multiperiodic behavior. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

570 | Cyclic memory in random energy landscapes | Szulc, Asaf; Gat, Omri; Regev, Ido | Here we use a novel simulation algorithm, that uses a sampling technique to simulate deterministic forced dynamics on a Gaussian landscape. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

571 | Limits on memory storage in amorphous solids from analysis of transition networks | Regev, Ido; Attia, Ido; Dahmen, Karin; Sastry, Srikanth; Mungan, Muhittin | We analyze the directed graph of plastic transitions obtained by shearing an initial quenched configuration. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

572 | Memory in non-orientable mechanics | Guo, Xiaofei; Guzmán, Marcelo; Bartolo, Denis; Carpentier, David; Coulais, Corentin | Here we show that it is possible to achieve non-orientable mechanics in an orientable metamaterial, rotating-square mechanism. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

573 | Complex pathways in models of coupled hysterons | Van Hecke, Martin; Korovin, George | Complex pathways in models of coupled hysterons | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

574 | Random Close Packing as a Dynamical Phase Transition | Wilken, Sam; Guerra, Rodrigo; Levine, Dov; Chaikin, Paul | Here we show that a simple model, “Biased Random Organization”, BRO, exhibits a dynamical phase transition between absorbing (non-overlapping) and active states that appears to have RCP as its critical endpoint. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

575 | Correlation Lengths in the Language of Computable Information | Martiniani, Stefano; Lemberg, Yuval; Chaikin, Paul; Levine, Dov | Here we show that correlation lengths can be obtained by decimation, thinning a configuration by sampling data at increasing intervals and recalculating the CID. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

576 | Jerky active matter: a phase field crystal model with translational and orientational memory | te Vrugt, Michael; Jeggle, Julian; Wittkowski, Raphael | In this work, we combine modern mathematical methods from particle physics and nonlinear dynamics to derive the general mathematical form of a field theory for soft-matter systems with two different time scales. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

577 | Hysteretic dynamics of driven disordered systems provide insights into biological evolution in a changing environment | Das, Suman; Krug, Joachim; Mungan, Muhittin | Specifically, our model can be described as a Preisach system with interacting hysterons, and it exhibits effects of memory such as hysteresis loops under antibiotic concentration cycling. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

578 | Memory in 3D Cyclically Driven Granular Matter | Benson, Zackery; Peshkov, Anton; Richardson, Derek; Losert, Wolfgang | We perform experimental and numerical studies of a granular system under cyclic-compression to investigate reversibility and memory effects. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

579 | An out-of-equilibrium Gardner-like transition in compressed hard sphere liquids | Morse, Peter; Charbonneau, Patrick | In this talk, we will explore the properties of this dynamical Gardner-like transition–itself is a second form of memory–and its relationship to the aforementioned onset. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

580 | New strategies for memory formation and disruption in non-equilibrium materials | Cohen, Itai | Here, I discuss new strategies for creating and destroying memories in three of these systems: gels, suspensions, and shape memory actuators. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

581 | Disordered hyperuniformity, memory and information coding in droplet chains. | Guzowski, Jan; Buda, Robert; Bogdan, Michal | We develop a model which predicts that the length of the memory is set by the relaxation time and the frequency of droplet generation, in agreement with observations. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

582 | Capturing the local entropy production by data compression | Guo, Buming; Ro, Sunghan; Shih, Aaron; Phan, Trung; Martiniani, Stefano; Levine, Dov; Austin, Robert; Chaikin, Paul | We introduce a universal protocol to estimate local entropy production by data compression. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

583 | Topological characterization of memories formed under oscillatory shear | Graham, Ian; Arratia, Paulo; Riggleman, Robert | Here we consider 2D simulations of jammed Hertzian bidisperse particles and subject the samples to athermal quasistatic shear. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

584 | The Interplay between Memory Training and Stability in Jammed Solids | Arceri, Francesco; Corwin, Eric; Faghir Hagh, Varda | We perform cyclic shear training on marginally stable and highly stable packings, the latter being produced via a constrained minimization of both positional and radial degrees of freedom. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

585 | Characterizing phase transitions in 2D Repulsive Random Organization | Guo, Ashley; Wilken, Sam; Chaikin, Paul; Levine, Dov | Here, we study the random organization model in 2D with the addition of repulsive displacements between particles. | Session 33: Memory Formation in Matter: Encoding, Reading, and Design |

586 | 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 deformation. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

587 | On mathemathical modeling of flow and fouling in elastic membrane filters | Sanaei, Pejman; Liu, Shi Yue; Chen, Zhengyi; Christov, Ivan | In this work, we present a mathematical model of an elastic membrane filter with multi-layer bifurcating interior morphology. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

588 | Interaction and coalescence of fluid-driven fractures: numerical predictions versus experiments | Peruzzo, Carlo; Lecampion, Brice; O’Keeffe, Niall; Linden, Paul | We use a numerical solver based on an implicit level set algorithm which notably combines a finite discretization with the asymptotic solution for a steadily moving HF locally near the crack front. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

589 | State and Rate Dependent Contact Line Dynamics over an Aging Soft Surface | Guan, Dongshi; Charlaix, Elisabeth; Tong, Penger | We report direct atomic-force-microscope measurements of capillary force hysteresis (CFH) of a circular contact line (CL) formed on a micron-sized glass fiber, which is coated with a thin layer of soft polymer film and intersects a water-air interface. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

590 | Capillary control of failure in soft composite materials | Suñé, Marc; Wettlaufer, John | Here, we examine the nature of the buckling in inhomogeneous soft composite materials. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

591 | Gel rupture in a dynamic environment | Leslie, Kelsey-Ann; Doane-Solomon, Robert; Arora, Srishti; Curley, Sabrina; Szczepanski, Caroline; Driscoll, Michelle | In this experimental study, we observe the dynamic process of swelling and how internal stresses that develop during swelling lead to the subsequent rupture of the poly(ethylene glycol)-based hydrogels. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

592 | Tunable viscoelasticity of double gel networks: colloidal gel embedded in a hydrogel matrix | Dellatolas, Ippolyti; Cho, Jae Hyung; Bischofberger, Irmgard | We create double gel networks consisting of a colloidal gel embedded within a hydrogel matrix. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

593 | Spontaneous formation of chiral domains in a flowing achiral nematic liquid crystal | Zhang, Qing; Zhang, Rui; Bischofberger, Irmgard | Surprisingly, we find the spontaneous emergence of chiral structures when an achiral lyotropic chromonic liquid crystal (LCLC) in the nematic phase relaxes from a high velocity flow to a steady state lower velocity flow. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

594 | Label-free microfluidic platform for adhesion-based cell sorting | Chrit, Fatima Ezahra; Sulchek, Todd; Alexeev, Alexander | We develop a microfluidic approach for high-throughput and label-free sorting of cells by their affinity for target ligands by molecular surface markers. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

595 | Method for Characterizing Microscopic Void Structure in Porous Media | Ryu, Brian; Zia, Roseanna | We have developed a method for obtaining a detailed quantitative structural description of void structures in a porous medium. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

596 | Compliance-effects in viscous streaming | Bhosale, Yashraj; Parthasarathy, Tejaswin; Gazzola, Mattia | Here we extend our understanding by numerically investigating the effects of solid-boundary elasticity, via a recently developed framework based on remeshed vortex methods coupled to an inverse map technique. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

597 | Formation, growth and coalescence of nanoscopic mesas in stratifying foam films | Xu, Chenxian; Sharma, Vivek | The detailed mechanisms underlying stratification are still under debate, and are resolved in this contribution by addressing long-standing experimental and theoretical challenges. | Session 34: Microflows Meet Soft Matter: Compliance, Growth, Instabilities and Beyond |

598 | Mechanisms of Diffusive Charge Transport in Redox-Active Polymer Solutions | Bello, Liliana; Sing, Charles | We use simulations and theory to show how a variety of molecular charge transport mechanisms affect diffusive motion in RAP solutions. | Session 35: Molecular and Ion Transport in Polymers |

599 | Li+ Ion Migration in Polymer Electrolytes: How Coordination Effects Control Li+ Transport Mechanisms | Schönhoff, Monika; Rosenwinkel, Mark; Andersson, Rassmus; Mindemark, Jonas | To shed light on the influence of the coordination properties of different polymer architectures and to identify their influence on Li ion transport, we compare PEO, poly(ε-caprolactone) (PCL), poly(trimethylene carbonate) (PTMC), and a PCL-co-PTMC random co-polymer, combined with the Lithium salt LiTFSA at varying Li +:monomer ratio r. Employing multinuclear Pulsed-Field-Gradient (PFG)-NMR diffusion, we obtain ion-specific transport information. | Session 35: Molecular and Ion Transport in Polymers |

600 | Understanding the Effect of Permanent Crosslinks in Dense Polymer Networks on Probe Diffusion | Sheridan, Grant; Evans, Christopher | Understanding the Effect of Permanent Crosslinks in Dense Polymer Networks on Probe Diffusion | Session 35: Molecular and Ion Transport in Polymers |

601 | Dissociation of Lithium Salt in Block Copolymer | Kim, Kyoungmin; Kuhn, Leah; Alabugin, Igor; Hallinan, Daniel | In this study, the interaction between lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) and polystyrene (PS) – poly(ethylene oxide) (PEO) diblock copolymer was investigated using Fourier transform infrared (FTIR) spectroscopy and density functional theory (DFT) simulation. | Session 35: Molecular and Ion Transport in Polymers |

602 | Role of Zwitterion Addition on Ion Conduction in Polymer Electrolytes | Mei, Wenwen; Bostwick, Joshua; Hickey, Robert; Colby, Ralph | We find that addition of zwitterions to a model single-ion conducting polymer significantly increased the dielectric constant and slightly increased T g. Consequently, ionic conductivity increased despite the increase of T g. | Session 35: Molecular and Ion Transport in Polymers |

603 | Ion Mobilities, Transference Numbers and Inverse Haven Ratios of Polymeric Ionic Liquids | Zhang, Zidan; Wheatle, Bill; Krajniak, Jakub; Keith, Jordan; Ganesan, Venkatraghavan | In contrast to expectations, we demonstrate that the inverse Haven ratio increases with increasing degree of polymerization ( N) and then decreases at larger N. For a fixed center of mass reference frame, we demonstrate that such results arise as a consequence of the strong cation-cation correlated motions which exceed (in magnitude) the self-diffusivity of cations. | Session 35: Molecular and Ion Transport in Polymers |

604 | Probing ion diffusion in chemically amplified resists through experiments and atomistic simulations | Bottoms, Christopher; Terlier, Tanguy; Stein, Gila; Doxastakis, Manolis | We present a concerted experimental and computational effort to examine diffusion of an inert catalyst analogue (a cation-anion pair) in the protected and deprotected states of a model terpolymer resin. | Session 35: Molecular and Ion Transport in Polymers |

605 | Ion co-transport with alcohol in cation exchange membranes | Kim, Jung Min; Beckingham, Bryan | Here, we investigate the transport behavior of Nafion® 117 and PEGDA-AMPS cation exchange membranes to co-ion (formate or acetate) and alcohol (methanol and ethanol), where we observe an increase in both formate and acetate permeability in co-permeation with either methanol or ethanol. | Session 35: Molecular and Ion Transport in Polymers |

606 | Surface-Induced Ordering Depresses Through-Film Ionic Conductivity in Lamellar Block Copolymer Electrolytes | Coote, Jonathan; Kinsey, Thomas; Street, Dayton; Kilbey, S.; Sangoro, Joshua; Stein, Gila | This work hypothesizes that structural anisotropy is a consequence of surface-induced ordering, where preferential adsorption of one block at the electrode drives a short-range stacking of the lamellae. | Session 35: Molecular and Ion Transport in Polymers |

607 | Solvent Effects on the Transference Number of Dilute Polyelectrolyte Solutions | Lytle, Tyler; Yethiraj, Arun | Our work uses molecular dynamics simulations of coarse-grained polymer models to elucidate how chain length and solvent type affect the ion transference number in solution. | Session 35: Molecular and Ion Transport in Polymers |

608 | Understanding Gas Transport in Polymer-Grafted Nanoparticle Assemblies | Kumar, Sanat | For a given NP radius and grafting density in the dense brush regime we find that gas permeabilities display a maximum as a function of the graft chain molecular weight. | Session 35: Molecular and Ion Transport in Polymers |

609 | Programming stiff inflatable shells from planar patterned fabrics | Siefert, Emmanuel; Gao, Tian; Bico, Jose; Reyssat, Etienne; Roman, Benoit | We introduce a versatile single-step method to shape-program stiff inflated structures, opening the door for numerous large scale applications, ranging from space deployable structures to emergency shelters. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

610 | Micron sized kirigami robots – Design and inverse design | Griniasty, Itay; Sinhmar, Himani; Liu, Qingkun; Wang, Wei; Kress-Gazit, Hadas; Sethna, James; Cohen, Itai | To test this conjecture we derive an analytical inverse design method at the thermodynamic limit, and employ numerical optimization to design finite sized shape shifting sheets. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

611 | Shape change through elastic phase-separation | Siefert, Emmanuel; Roman, Benoit; Bico, Jose; Reyssat, Etienne | We observed an unexpeted instability in an architected elastomer plate that includes an internal network of airways (”baromorph”). | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

612 | Inflatable grippers | Andrade-Silva, Ignacio; Marthelot, Joel | We propose a star-shaped tube made of successive V-shaped tubes forming a closed loop as a mechanical actuator. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

613 | Oscillating Membranes: Controlling Autonomous Shape-transforming Sheets | Levin, Ido; Deegan, Robert; Sharon, Eran | Here we present the first autonomously shape-shifting soft sheets and show that these have the potential to achieve the locomotive capabilities of living organisms. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

614 | Morphing LCE surface coatings with topological defects: simulation studies | Selinger, Robin; Mosaddeghian Golestani, Youssef; Selinger, Jonathan; Afghah, Sajedeh; Varga, Michael | We model shape-morphing in temperature-responsive dynamic thin film coatings with patterned disclinations oriented either parallel or perpendicular to the surface normal. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

615 | Using Bifurcation theory to instruct design of Magneto-Elastic Machines | Griniasty, Itay; Hathcock, David; Yang, Teaya; Chen, Yuchao; Sethna, James; Cohen, Itai | To find these rare patterns, we adapt a continuation algorithm that follows bifurcations of growing order along a one dimensional curve in the system’s multidimensional phase space. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

616 | All-in-One Design of Soft Machines | Brun, Pierre-Thomas; Jones, Trevor; Jambon-Puillet, Etienne | To bridge the gap on nature, we introduce an all-in-one approach to building soft machines. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

617 | Architected balloons | Charpentier, Victor; Bourgeois, Stephane; Marthelot, Joel | Here we study how the addition of local surface artifacts, creating an architected material, can lead to tailor-made deployed geometry for tube like balloons while allowing to retain control over the mechanical behavior during deployment. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

618 | Untethered Shape-changing elastomer via liquid-gas phase transition | Saint-Jean, Maïka; Roman, Benoit; Reyssat, Etienne; Bico, Jose | We present a new system capable of untethered shape-morphing, using an elastomer-alcohol composite capable of large expansion when heated. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

619 | Shape programming by modulating actuation using zigzag patterns | Gao, Tian; Siéfert, Emmanuel; DeSimone, Antonio; Roman, Benoit | Here, we present a novel strategy where inextensible thin patches are sealed along zigzag paths to generate complex shape transformation under applied pressure. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

620 | Discrete 4D printing | Kim, Kyung Eun; Santangelo, Christian | In our analysis, propose an optimal discrete structure for which it is computationally easier to find shape given edge lengths and propose a way to count possible solutions. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

621 | Pluripotent Magnetically Actuated Origami | Kassabova, Dora; Pinson, Matthew; McEuen, Paul; Cohen, Itai | Our idea is that if the folding patterns are sufficiently different so that they do not share creases, it is possible to design pluripotent sheets with multiple target shapes. | Session 36: Morphing Matter: From Soft Robotics to 4D Printing |

622 | Mesoatomic distortions and subdomain morphology in DG and DD networks | Thomas, Edwin; Feng, Xueyan; Burke, Christopher; Reddy, Abhiram; Grason, Gregory | Mesoatomic distortions and subdomain morphology in DG and DD networks | Session 37: Morphology Characterization: Frontier of Scattering and Microscopy |

623 | Atomic-scale imaging of the effect of side-chain chemistry on the crystal motifs in polypeptoid nanosheets | Seidler, Morgan; Li, Nan; Xuan, Sunting; Zuckermann, Ronald; Prendergast, David; Jiang, Xi; Balsara, Nitash | Atomic-scale imaging of the effect of side-chain chemistry on the crystal motifs in polypeptoid nanosheets | Session 37: Morphology Characterization: Frontier of Scattering and Microscopy |

624 | Three-dimensional Cryogenic Electron Microscopy Imaging of Two-dimensional Polymer Crystals | Jiang, Xi; Xuan, Sunting; Li, Nan; Prendergast, David; Zuckermann, Ronald; Balsara, Nitash; Downing, Kenneth | We introduce a novel composite holey gold support that prevents cryo-crinkling and reduces beam-induced motion of two-dimensional specimens. | Session 37: Morphology Characterization: Frontier of Scattering and Microscopy |

625 | Combining Advanced Experimental Methods to Characterization of Polymer Nanocomposites | Winey, Karen | We apply ion beam methods (elastic recoil detection and Rutherford backscattering) and single particle tracking methods, as well as more accessible methods such as temperature-modulated DSC and broadband dielectric spectroscopy methods, to probe the molecular weight dependence of the polymer and nanoparticles are revealed for nanoparticles of various sizes and nanoparticle-polymer interactions. | Session 37: Morphology Characterization: Frontier of Scattering and Microscopy |

626 | Molecular orientation in polyamide reverse osmosis membranes revealed by polarized resonant soft x-ray scattering | Beaucage, Peter | Using polarized resonant soft x-ray scattering, a uniquely sensitive probe of molecular orientation and structure, we observe a striking degree of polarization-induced anisotropy in both commercial and model polyamide films. | Session 37: Morphology Characterization: Frontier of Scattering and Microscopy |

627 | Update on resonant tender x-rays scattering user programm at the Soft Matter Interfaces beamline at NSLS II | Freychet, Guillaume; Zhernenkov, Mikhail | Update on resonant tender x-rays scattering user programm at the Soft Matter Interfaces beamline at NSLS II | Session 37: Morphology Characterization: Frontier of Scattering and Microscopy |

628 | Quantification of flow-induced phase separation in polymer blends by small-angle neutron scattering | Wang, Yangyang; Wang, Weiyu; Hong, Kunlun; Liu, Yun | The methodology described in this work provides a concrete venue for quantitative studies of phase transitions of polymeric fluids under deformation and flow via small-angle scattering techniques. | Session 37: Morphology Characterization: Frontier of Scattering and Microscopy |

629 | Computational Reverse Engineering Analysis of Scattering Experiments (CREASE) on Amphiphilic Block Polymer Solutions | Wessels, Michiel; Jayaraman, Arthi | In this talk we will present the extension of a recently developed Computational Reverse-Engineering Analysis for Scattering Experiments (CREASE) approach to analyze spherical, cylindrical, fibrillar, and elliptical cylinder assembled structures in amphiphilic block copolymer solutions. | Session 37: Morphology Characterization: Frontier of Scattering and Microscopy |

630 | Polymer morphology measurement by Polarized Resonant Soft X-ray Scattering | DeLongchamp, Dean | I will describe our approach to polarized resonant soft X-ray scattering (P-RSoXS), which combines principles of soft X-ray spectroscopy, small-angle scattering, real-space imaging, and molecular simulation to produce a molecular scale structure measurement for soft materials and complex fluids. | Session 37: Morphology Characterization: Frontier of Scattering and Microscopy |

631 | Label-free characterization of aqueous micelle nanostructure, chemistry, and dynamics via in-situ RSoXS | Collins, Brian; McAfee, Terry; Ferron, Thomas; Cordova, Isvar; Pickett, Phillip; McCormick, Charles; Wang, Cheng | Here we demonstrate a novel technique capable of such measurements based on resonant soft X-ray scattering (RSoXS), which uniquely probes organic materials using their intrinsic chemical bonds rather than laborious and disruptive labeling. | Session 37: Morphology Characterization: Frontier of Scattering and Microscopy |

632 | Self-assembly of Frank-Kasper Phases in Conformationally Asymmetric Fluorinated Block Copolymers | Jeon, Seungbae; Jun, Taesuk; Jo, Seongjun; ahn, Hyungju; Lee, Byeongdu; Ryu, Du Yeol | Theoretical and experimental studies have revealed that conformational asymmetry ( ε) of the different blocks provides a key mechanism to stabilize the FK σ and A15 phases between hexagonally packed cylinder (HEX) and body centered cubic (BCC) phases in block copolymers (BCPs) self-assembly. | Session 37: Morphology Characterization: Frontier of Scattering and Microscopy |

633 | Small Systems Warm up Faster Than They Cool Down | Lapolla, Alessio; Godec, Aljaz | In the talk we will explain the physical origin of this intriguing asymmetry in relaxation to equilibrium and discuss its implications, e.g. for the performance of Brownian heat engines. | Session 38: Mpemba Effect: The Path Not Taken |

634 | Lindblad dissipative dynamics in the presence of phase coexistence | NAVA, ANDREA; Fabrizio, Michele | In particular, we consider an exactly solvable, fully connected quantum Ising model with n-spin exchange (n > 2) — the prototype of quantum first-order phase transitions — and several variants of the Lindblad equations to describe the dissipative dynamics in the presence of phase coexistence. | Session 38: Mpemba Effect: The Path Not Taken |

635 | Mpemba effect in systems with boundary coupling | Teza, Gianluca; Yaacoby, Ran; Raz, Oren | We show that such a system exhibits an extremely rich variety of anomalous relaxations. | Session 38: Mpemba Effect: The Path Not Taken |

636 | Mpemba effect in molecular fluids: a kinetic theory approach | Prados, Antonio; Patrón, Antonio; Sánchez-Rey, Bernardo; Megías, Alberto; Santos, Andres | We investigate the emergence of the Mpemba effect in a molecular fluid with nonlinear viscous drag. | Session 38: Mpemba Effect: The Path Not Taken |

637 | The Mpemba effect in granular fluids as a thermal memory effect | Vega Reyes, Francisco | In summary, we discuss the relevance of a the Mpemba effect within the more general landscape of memory effects in matter | Session 38: Mpemba Effect: The Path Not Taken |

638 | Large Mpemba-like effect in a gas of inelastic rough hard spheres | Torrente, Aurora; Lopez-Castano, Miguel Angel; Lasanta Becerra, Antonio; Vega-Reyes, Francisco; Prados, Antonio; Santos, Andres | Large Mpemba-like effect in a gas of inelastic rough hard spheres | Session 38: Mpemba Effect: The Path Not Taken |

639 | Remarkable aspects in Stochastic Thermodynamics | Fiore, Carlos | In this talk, we present some recent results about stochastic thermodynamics, including a (general) linear description of markovian systems in contact with multiple reservoirs, general descriptions at nonequilibrium phase transition regimes and efficiency of thermal engines subject to sequential periodic drivings. | Session 38: Mpemba Effect: The Path Not Taken |

640 | Quantitative comparison of different time-periodic Thermodynamic Uncertainty Relations | Harunari, Pedro; Fiore, Carlos; Proesmans, Karel | In this talk I will show results for an exactly solvable model and how 4 different TURs behave in the periodic steady state to characterize how tight they are and if there is one that stands out among them [2]. | Session 38: Mpemba Effect: The Path Not Taken |

641 | Current large deviations of nonreversible diffusions | Coghi, Francesco; Chetrite, Raphael; Touchette, Hugo | In this talk I will give a physical interpretation of this accelerated convergence. | Session 38: Mpemba Effect: The Path Not Taken |

642 | Non-equilibrium universality in non-reciprocal coupled Ising models | Young, Jeremy; Chiocchetta, Alessio; Maghrebi, Mohammad | In this talk, I will introduce a non-equilibrium variant of the Ashkin-Teller model in which two species of Ising spins experience a non-reciprocal coupling, explicitly breaking detailed balance and the equilibrium condition. | Session 38: Mpemba Effect: The Path Not Taken |

643 | Finite-time thermodynamic processes of a spin-one quantum electric dipole system | Bassie, Yigermal | We take a collection of large non-interacting spin one particles, each having an electric dipole of magnitude, D, in contact with a heat reservoir at temperature T. | Session 38: Mpemba Effect: The Path Not Taken |

644 | Higher-order Mpemba effect in a colloidal system | Kumar, Avinash; Bechhoefer, John | Here we present observations showing that anomalous relaxation is present in a symmetric potential. | Session 38: Mpemba Effect: The Path Not Taken |

645 | Mpemba effect and anomalous relaxation in 1D and 2D many body Ising models | Mompó, Emanuel; Lasanta Becerra, Antonio; Martin-Mayor, Victor; Salas, Jesús | In this talk, we compare these anomalous relaxation behaviors in one- and two-dimensional Ising models, with an emphasis in the differences induced by the spontaneous symmetry breaking in 2D. | Session 38: Mpemba Effect: The Path Not Taken |

646 | Engineered swift equilibration on generic configuration spaces | Frim, Adam; Zhong, Adrianne; Chen, Shi-Fan; Mandal, Dibyendu; DeWeese, Michael | We extend the ESE framework to overdamped Brownian particles described by generic configuration spaces. | Session 38: Mpemba Effect: The Path Not Taken |

647 | The Markovian Mpemba effect in large many-body systems, and its applications in optimal protocols. | Raz, Oren | To demonstrate our results on large many-body system, we developed a projection method, with which one can find optimal protocols or the existing of the strong Mpemba effect through Monte-Carlo simulation, withouth the need to find the slowest component in the Markovina dynamic. | Session 39: Mpemba Effect: anomalous cooling kinetics and its generalizations |

648 | Exponentially faster cooling and heating in a colloidal system | Bechhoefer, John | Here we demonstrate the Mpemba effect in a controlled setting, the thermal quench of a colloidal system immersed in water, which serves as a heat bath. | Session 39: Mpemba Effect: anomalous cooling kinetics and its generalizations |

649 | The anomalous thermal relaxation of Langevin particles | Vucelja, Marija; Walker, Matt | To understand the general nature of the Mpemba effect, we theoretically study a model system — the overdamped dynamics of a particle moving on a potential surface. | Session 39: Mpemba Effect: anomalous cooling kinetics and its generalizations |

650 | The Mpemba effect as a far from equilibrium phenomenon | Lasanta Becerra, Antonio | In this talk, I will present recent results that show that a Mpemba-like effect appears not only in water but also in some prototypical examples of nonequilibrium systems, namely, granular fluids, Ising model water and spin glasses. | Session 39: Mpemba Effect: anomalous cooling kinetics and its generalizations |

651 | The Mpemba effect in spin glasses: a persistent memory effect. | Marinari, Enzo | We discuss here the fact that the Mpemba effect exists in spin glasses, and that it is a non-equilibrium process, governed by the coherence length of the system. | Session 39: Mpemba Effect: anomalous cooling kinetics and its generalizations |

652 | Atomistic Go Model to Predict the Structure of Protein Cores | Grigas, Alex | Atomistic Go Model to Predict the Structure of Protein Cores | Session 40: Native and Non-Native Protein Structure and Stability |

653 | Quasi-two-dimensional diffusion of interacting globular proteins | Tan, Zihan; Dhont, Jan; Calandrini, Vania; Nägele, Gerhard | The model describes globular proteins as Brownian spheres, confined to lateral motion in a planar monolayer embedded in a three-dimensional viscous fluid. | Session 40: Native and Non-Native Protein Structure and Stability |

654 | Dual mechanism of ionic liquid-induced protein unfolding | Lee, Peiyin | Dual mechanism of ionic liquid-induced protein unfolding | Session 40: Native and Non-Native Protein Structure and Stability |

655 | Investigating ‘False Positive’ Protein Decoys Based on Core Packing Features | Liu, Zhuoyi; Grigas, Alex; O’Hern, Corey | We developed a feed-forward neural network based on packing features of cores to predict how well computational models recapitulate real protein structures. | Session 40: Native and Non-Native Protein Structure and Stability |

656 | Binding of Proteins to Surface Plasmon Resonance Biochips Functionalized with Native and Size-Reduced Phytoglycogen Nanoparticles | van Heijst, Nicholas; Charlesworth, Kathleen; Maxwell, Aidan; Grossutti, Michael; Dutcher, John | We used infrared spectroscopy to monitor the amide bands of the bound conA molecules, confirming that conA maintained a significant portion of its native beta-sheet content and suggesting that binding of conA to phytoglycogen does not significantly reduce its bioactivity. | Session 40: Native and Non-Native Protein Structure and Stability |

657 | Molecular dynamics simulations of folded proteins: determining the properties of protein cores | Mei, Zhe; Grigas, Alex; Levine, Zachary; Regan, Lynne; O’Hern, Corey | In this paper, we show that three of the most commonly used MD force fields, CHARMM36M, Amber99SB-ILDN and Amber99NMR cannot accurately recapitulate the conformations of proteins solved by solution NMR. | Session 40: Native and Non-Native Protein Structure and Stability |

658 | Proteinaceous optical devices in squids: understanding the reflectin-lipid interaction | Altan, Irem; Fox, Dillion; Sweeney, Alison | Proteinaceous optical devices in squids: understanding the reflectin-lipid interaction | Session 40: Native and Non-Native Protein Structure and Stability |

659 | Time-retarded electronic friction and enhanced mass of classical nuclei innonadiabatic molecular dynamics due to self-consistent coupling to electronictime-dependent nonequilibrium Green function | Mondal, Priyanka; Nikolic, Branislav | Here we present a new scheme of ab-initio MD that self-consistently couples molecular dynamics (MD) to quantum description of electrondynamics where current induced force is calculated including all higher order terms using time-dependent nonequilibrium Green function (TDNEGF) which leads to memory effect and show that the effect of highly nonadiabatic inertia term which has not been considered in previous studies. | Session 40: Native and Non-Native Protein Structure and Stability |

660 | Unraveling the non-equilibrium dynamics of soft living matter | Broedersz, Chase | Based on a simple model, I will argue that the scaling behavior of such non-equilibrium measures can reveal physical properties of the internal driving. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

661 | Bayesian Inference for Inertial Langevin Dynamics | Ferretti, Federica; Chardès, Victor; Mora, Thierry; Walczak, Aleksandra; Giardina, Irene | We developed a novel analytical Bayesian approach to learn the parameters of such stochastic effective models from discrete finite-length trajectories. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

662 | Nonequilibrium energy transduction in stochastic strongly coupled rotary motors | Lathouwers, Emma; Lucero, Joseph Neil; Sivak, David | Using a simple model of the ingenious rotary machine FoF1-ATP synthase, we investigate the interplay between nonequilibrium driving forces, thermal fluctuations, and interactions between strongly coupled subsystems. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

663 | Using the fluctuation-response relations in biological limit-cycle oscillators to interrogate active feedback and control mechanisms | Sheth, Janaki; Bozovic, Dolores; Levine, Alex | We explore fluctuation dissipation relations in these noisy limit-cycle systems focusing primarily on the hair cells of the inner ear. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

664 | Universal thermodynamic bounds on nonequilibrium response with biochemical applications | Owen, Jeremy; Gingrich, Todd; Horowitz, Jordan | For these families, we present 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 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

665 | Collision of two cellular aggregates via active vertex model and topological data analysis | Bonilla, Luis; Carpio, Ana; Trenado Yuste, Carolina | We have used an active vertex model for cells undergoing underdamped dynamics with active forces, Vicsek like alignment of cellular velocities and noise to study tumor invasion on epithelial tissue. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

666 | Improved bounds on the entropy production rate in living systems | Skinner, Dominic; Dunkel, Jorn | We demonstrate the broad applicability of this framework by providing improved bounds on the entropy production rate in a diverse range of biological systems including bacterial flagella motors, growing microtubules, and calcium oscillations within human embryonic kidney cells. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

667 | Nonlinear dependence of desynchronization effects of coordinated reset on the number of stimulation sites and frequency | Khaledi Nasab, Ali; Kromer, Justus; Tass, Peter | We study long-lasting desynchronization by coordinated reset (CR) stimulation in excitatory recurrent neuronal networks of integrate-and-fire neurons with spike-timing-dependent plasticity (STDP). | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

668 | Mean Field Theory for Generalized Cortical Branching Model | Weerawongphrom, Naruepon; Goetz, Jeremy; Williams-Garcia, Rashid; Beggs, John; Ortiz, Gerardo | To gain understanding and predict behavior of this many-body system, we develop a method to generate mean-field approximations for any given motif with or without inhibition. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

669 | The unreasonable effectiveness of cluster scaling | Matin, Sakib; Tenzin, Thomas; Klein, William; Gould, Harvey | We generalize the Fisher-Stauffer cluster scaling (from percolation theory) to study the avalanches in the nearest-neighbor stochastic Olami-Feder-Christensen (OFC) model, which is believed to be a non-equilibrium system. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

670 | A theoretical model for viscophoresis: transport in a liquid viscosity gradient | Stein, Derek; Wiener, Benjamin; Lame, Shayan | We present an explanation based on the Maxwell-Stefan (MS) theory of diffusion. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

671 | Passive colloids reveal a wet to dry crossover in active bacterial suspensions | Gokhale, Shreyas; Li, Junang; Solon, Alexandre; Gore, Jeffrey; Fakhri, Nikta | Here, by analyzing the structure and dynamics of passive colloids immersed in active suspensions of motile bacteria, we reveal the existence of two distinct regimes dominated by hydrodynamic and steric interactions respectively. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

672 | Inverse Design of Non-equilibrium Steady-States: A Large Deviation Approach | Piñeros, William; Tlusty, Tsvi | We achieve this design target from direct knowledge of the joint large deviation functional for the empirical density and flow, and a “relaxation” algorithm of the desired target states via adjustable force field parameters. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

673 | 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 and the Lévy stochastic area are useful diagnostics to intercompare climate models and to compare climate models with observations of the climate system. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

674 | Green-Kubo relations for nonequilibrium hydrodynamics transport coefficients | Chun, Hyun-Myung; Gao, Qi; Horowitz, Jordan | Here, we demonstrate that there is a class of perturbations whose response maintains the equilibrium-form of the FDT, yet remains valid arbitrarily far from equilibrium. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

675 | Parallel temperature interfaces in the Katz-Lebowitz-Spohn driven lattice gas | Mukhamadiarov, Ruslan; Priyanka, Priyanka; Tauber, Uwe | We explore a variant of the Katz-Lebowitz-Spohn (KLS) driven lattice gas in two dimensions, where the lattice is split into two regions that are coupled to heat baths with distinct temperatures. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

676 | Steady-state Entropy of Dynamical Systems Described by Intermittent Iterated Maps | Song, Yunxiang; Witten, Thomas | We use iterated phase maps to describe the dynamics of nonlinear oscillators in response to intermittent impulsive forcing. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

677 | Critical Dynamics of Anisotropic Antiferromagnets in an External Field | Nandi, Riya; Tauber, Uwe | We numerically investigate the non-equilibrium critical dynamics in three-dimensional anisotropic antiferromagnets in the presence of an external magnetic field. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

678 | Mechanism of noise-induced wave-number selection in the stabilized Kuramoto-Sivashisky equation | Saxena, Saloni; Kosterlitz, John | We revisit the question of wave-number selection in pattern-forming systems by studying the one dimensional stabilized Kuramoto-Sivashinsky equation with additive Gaussian noise. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

679 | Recovering Classical Langevin Dynamics by Coupling the System to Quantum Noise | Yao, Hong; Tauber, Uwe | We consider a general Hamiltonian system and couple it to a large heat bath consisting of an infinite number of harmonic oscillators at fixed temperature. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

680 | Stochastic charge fluctuations analyzed by factorial cumulants | Stegmann, Philipp; Kurzmann, Annika; Lochner, Pia; Kerski, Jens; Schott, Rüdiger; Ludwig, Arne; Wieck, Andreas; Lorke, Axel; Geller, Martin; Konig, Jurgen | In my talk, I will introduce an evaluation scheme based on generalized factorial cumulants [1,2] which can reveal correlations between tunneling electrons [1,2,3], a violation of detailed balance [4], hidden states and relaxation rates [5], or coherent dynamics [6]. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

681 | Modelling Spontaneous Thermal Fluctuations of Ripples in Suspended Graphene | Lasanta Becerra, Antonio; Bonilla, Luis; Thibado, Paul; Kumar, Pradeep; Singh, Surendra; Ruiz Garcia, Miguel | We present a Langevin model that captures this out-of-plane motion unique to two-dimensional materials. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

682 | Stochastic Line Integrals as Metrics of Irreversibility and Heat Transfer | Teitsworth, Stephen; Neu, John | The streamfunction provides analytical insight to the dependence of stochastic area on parameters such as the noise strength for both nonlinear and linear springs; in particular, we find distinct scaling regimes for stochastic area versus noise amplitude depending on the character of nonlinearity. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

683 | Response and flux of information in extended non-equilibrium dynamics | Vulpiani, Angelo; Baldovin, Marco; Sarra, Camilla | In order to understand the connection between the above mentioned quantities, we investigate spatially asymmetric extended systems. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

684 | A coupled two-species model for the pair contact process with diffusion | Deng, Shengfeng; Li, Wei; Tauber, Uwe | We introduce a two-species representation for the PCPD in which single particles B and particle pairs A are dynamically coupled according to the stochastic reaction processes B+B→A, A→A+B, A→0, and A→B+B, with each particle type diffusing independently. | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

685 | Thermodynamic Signalling in Underdamped Networks | Neu, John | Thermodynamic Signalling in Underdamped Networks | Session 41: Noise-Driven Dynamics in Far-From-Equilibrium Systems |

686 | Structure of Fluctuating Thin Sheets Under Random Forcing | Steinbock, Chanania; Katzav, Eytan; Boudaoud, Arezki | Research from both wave turbulence [1] and the physics of crumpled paper [2] has made it clear that understanding the spectra of deformations of thin sheets is crucial to understanding their structural and dynamic properties. | Session 42: Non-Linear Dynamics and Pattern Formation |

687 | Post-buckling of hyperelastic thick tube under axial compression | Zhou, Yu; Chen, Yuzhen; Jin, Lihua | In this presentation, we conduct buckling and postbuckling analysis for hyperelastic thick tubes undergoing finite deformation. | Session 42: Non-Linear Dynamics and Pattern Formation |

688 | Straight-to-curvilinear motion transition of a swimming droplet driven by the Marangoni effect | Suda, Saori; Suda, Tomoharu; Ohmura, Takuya; Ichikawa, Masatoshi | In this study, we measured swimming microdroplets’ motion to identify the straight-to-curvilinear motion transition, one of the fundamental transitions observed in the self-propelled motion. | Session 42: Non-Linear Dynamics and Pattern Formation |

689 | A direct Thermoelectric Energy Conversion of a Drinking Bird Motion | Uechi, Hiroshi | We discuss a technique to extract electric energy from the DB’s motion, which is termed as thermoelectric energy generation (TEG) technique by employing solutions of a thermomechanical model of a drinking bird (DB) [1]. | Session 42: Non-Linear Dynamics and Pattern Formation |

690 | Dendritic crystal growth: A comparison 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 42: Non-Linear Dynamics and Pattern Formation |

691 | Competing for Resources: on the Emergence of Property Rights | De Mulatier, Clelia; Pinneri, Cristina; Balasubramanian, Vijay; Marsili, Matteo | A game theory approach to the evolution of animal conflicts has shown that choosing an initial asymmetric feature, such as first come first served, to settle a contest is evolutionarily stable, as it avoids the costs of animal fights. | Session 42: Non-Linear Dynamics and Pattern Formation |

692 | Levitated nanoparticles as non-equilibrium memories: experimental verification of the generalised Landauer’s principle | Ciampini, Mario Arnolfo; Wenzl, Tobias; Konopik, Michael; Lutz, Eric; Thalhammer, Gregor; Ritsch-Marte, Monika; Aspelmeyer, Markus; Kiesel, Nikolai | Here, we present a novel optical holographic, SLM enabled, trapping platform that levitates a nanosphere in vacuum in a fully controllable double-well potential. | Session 42: Non-Linear Dynamics and Pattern Formation |

693 | A reduced Föppl–von Kármán model for magnetic plates | Yan, Dong; Abbasi, Arefeh; Reis, Pedro | Here, we develop a 2D theory for the mechanics of thin hard-magnetic plates. | Session 42: Non-Linear Dynamics and Pattern Formation |

694 | Retarding Damages/Cracks via Auxetic effects and Snap-through Instability | Xu, Yanzhang; Li, Yaning | Finite element models of the new designs are developed. | Session 42: Non-Linear Dynamics and Pattern Formation |

695 | Translational and rotational dynamics of a self-propelled Janus probe in a crowded medium | Theeyancheri, Ligesh; Chaki, Subhasish; Samanta, Nairhita; Goswami, Rohit; Chelakkot, Raghunath; Chakrabarti, Rajarshi | Translational and rotational dynamics of a self-propelled Janus probe in a crowded medium | Session 42: Non-Linear Dynamics and Pattern Formation |

696 | Single active particle engine utilizing a nonreciprocal coupling between particle position and self-propulsion | Szamel, Grzegorz | We demonstrate one way to achieve this extraction, through manipulating correlations between the particle’s position and self-propulsion using an externally controlled aligning interaction. | Session 42: Non-Linear Dynamics and Pattern Formation |

697 | Efficiency in competitive group foraging | Golnaraghi, Farnaz; Gopinathan, Ajay | We develop a stochastic agent-based simulation that models competitive foraging. | Session 42: Non-Linear Dynamics and Pattern Formation |

698 | Relationship between Schreiber’s transfer entropy and Liang–Kleeman information flow from the perspective of stochastic thermodynamics | Kiwata, Hirohito | In this study, I elucidate the relationship between the Schreiber’s transfer entropy and the Liang–Kleeman information flow through the Horowitz–Esposito information flow. | Session 42: Non-Linear Dynamics and Pattern Formation |

699 | Local thermodynamics governs the formation and dissolution of protein condensates in living cells | Fritsch, Anatol; Diaz, Andres; Adame-Arana, Omar; Hoege, Carsten; Hyman, Anthony; Julicher, Frank; Weber, Christoph | To address this question, we investigate the response of P granule condensates in living cells to temperature changes as a thermodynamic perturbation. | Session 43: Non-Linear Dynamics in Biological Cells |

700 | Active Volume Regulation in Adhered Cells | Adar, Ram; Safran, Samuel | Our theory is based on a minimal model and describes the experimental findings in terms of measurable, mesoscale quantities. | Session 43: Non-Linear Dynamics in Biological Cells |

701 | Coarse-grained Modeling of Centrosome Oscillation | Young, Yuan-nan; Farhadifa, Reza; Shelley, Michael | In this talk we present theoretical modeling of centrosome oscillation due to the collective attachment/detachment of cortical force generators to astral microtubules emanating from the centrosome. | Session 43: Non-Linear Dynamics in Biological Cells |

702 | Computational model for cell motion on asymmetric surfaces | Herr, Corey; Aronson, Igor; Losert, Wolfgang | We have created a three-dimensional, physics-based model to describe cell motility that links a deformable boundary to an actin polarization vector field. | Session 43: Non-Linear Dynamics in Biological Cells |

703 | Understanding the underlying mechanisms of pattern formation and cellular aggregation | Mukhopadhyay, Debangana; De, Rumi | Here we present a model with three different cellular interactions, ie, cell adhesion via physical contact, mechanical and chemotactically driven motility to investigate the growth of collective cellular structures. | Session 43: Non-Linear Dynamics in Biological Cells |

704 | Modeling the dynamics of furrow ingression in Drosophila cellularization | UYSALEL, CAN; Sokac, Anna; RANGAMANI, PADMINI | In this work, we developed a quantitative biophysical model of the dynamics of furrow ingression. | Session 43: Non-Linear Dynamics in Biological Cells |

705 | Extreme antagonism arising from gene-environment interactions | Wytock, Thomas; Zhang, Manjing; Jinich, Adrian; Fiebig, Aretha; Crosson, Sean; Motter, Adilson | Here, we report on gene-environment (GxE) interactions involving mutations that are deleterious in a permissive environment but beneficial in a specific environment that restricts growth. | Session 43: Non-Linear Dynamics in Biological Cells |

706 | SiGMoiD: A superstatistical generative model for binary data | Dixit, Purushottam | Here, we address both these issues with Superstatistical Generative Model for Binary Data (SiGMoiD). | Session 43: Non-Linear Dynamics in Biological Cells |

707 | Loop extrusion, chromatin crosslinking, epigenetics, and the geometry, topology and mechanics of chromosomes and nuclei | Marko, John | I will discuss our work on physics-based modeling of the SMC complexes thought to be the loop-extruding elements. | Session 43: Non-Linear Dynamics in Biological Cells |

708 | Transport, Delivery, and Kinetics in Tubular Organelle Networks | Scott, Zubenelgenubi; Brown, Aidan; Koslover, Elena | We have developed new methods for efficient numerical simulations of diffusive network transport, for exact calculations of mean first passage times, and for analysis of dynamic experimental data such as single particle trajectories and spreading of photoactivated probes. | Session 43: Non-Linear Dynamics in Biological Cells |

709 | Criticality in optimal organelle biogenesis | Yu, Fang; Mukherji, Shankar | Here we propose a model of resource allocation to organelle number and size and use the tools of MINLOP to solve for optimal organelle number and size subject to the constraint of having only a limited pool of resources to build organelles from. | Session 43: Non-Linear Dynamics in Biological Cells |

710 | Theoretical framework for the description of transmembrane receptor cluster coalescence in cells | Spendier, Kathrin; Kenkre, Vasudev | We present an approximation method for moving boundaries or traps in reaction-diffusion processes that is applied to investigate coalescence of receptor clusters in mast cells. | Session 43: Non-Linear Dynamics in Biological Cells |

711 | Active Cell Nematics: Architectures and flows | silberzan, pascal | We show that this multilayering process is initiated at defects and is made possible by the secretion of Extra Cellular Matrix by the cells. | Session 44: Non-Linear Dynamics in Cell Mechanobiology |

712 | Non-linear dynamics and long-time phase correlations of beating cardiomyocytes | Safran, Samuel | Our theoretical model relates these long-time correlations to cellular regulation that restores the frequency to its average, homeostatic value in response to stochastic perturbations. | Session 44: Non-Linear Dynamics in Cell Mechanobiology |

713 | Chromosome folding by loop extrusion on busy genome | Mirny, Leonid | We will review our recent progress in understanding loop extrusion and its interference with other biological processes on DNA. | Session 44: Non-Linear Dynamics in Cell Mechanobiology |

714 | Mechanics of Phase Separation in, on, and around the Genome | Brangwynne, Cliff | In this talk I will discuss our work to understand and engineer intracellular phase transitions, which play an important role in organizing the contents of living cells. | Session 44: Non-Linear Dynamics in Cell Mechanobiology |

715 | Effect of Cyclic Strain on Cardiomyocytes and Fibroblasts and Its Relation to Heart Disease | Tran, Richard; Morris, Tessa; Grosberg, Ana | In this work, we hypothesized that the dominant cell type dictates the overall tissue organization in the heart, which would explain the tendency toward disorganization in fibrotic regions of the heart. | Session 44: Non-Linear Dynamics in Cell Mechanobiology |

716 | Lars Onsager Prize (2020): Swarms, flocks and crowds | Vicsek, Tamas | After an introduction to the basic examples and aspects of flocking, I shall present two recent case studies related to the role of hierarchical decision-making during collective motion. | Session 45: Onsager and Davisson-Germer Prize Session |

717 | The flocking theory: The early developments and a new perspective | Tu, Yuhai | The flocking theory: The early developments and a new perspective | Session 45: Onsager and Davisson-Germer Prize Session |

718 | Davisson-Germer Prize in Atomic or Surface Physics: Exploring the Atomic and Electronic Landscape of Low-Dimensional Materials | Crommie, Michael | I will describe how characterization of graphene via cryogenic STM has enabled ultra-relativistic behavior such as atomic collapse and Dirac fermion quantum confinement to be directly imaged in gated graphene devices. | Session 45: Onsager and Davisson-Germer Prize Session |

719 | Lars Onsager Prize (2021): Bose-Einstein condensate – a classical limit of matter waves | Pitaevskii, Lev | Lars Onsager Prize (2021): Bose-Einstein condensate – a classical limit of matter waves | Session 45: Onsager and Davisson-Germer Prize Session |

720 | Title: Birth, Death, and Flight: the hydrodynamics of Malthusian flocks | Toner, John | 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 45: Onsager and Davisson-Germer Prize Session |

721 | Quantifying Local Rearrangements in Granular Media Using X-ray Tomography, Diffraction, and Machine Learning | Hurley, Ryan; Zhai, Chongpu; Herbold, Eric; Hall, Stephen | In this talk, we discuss recent experiments combining in-situ X-ray computed tomography (XRCT) and 3D X-ray diffraction (3DXRD) to quantify local rearrangements in deforming 3D granular materials. | Session 46: Packing and Jamming of Granular Materials |

722 | Modeling loading and fragmentation in compacted granular systems | Clemmer, Joel; Bolintineanu, Dan; Lechman, Jeremy | We explore the compaction of brittle granular systems using bonded discrete element simulations. | Session 46: Packing and Jamming of Granular Materials |

723 | Effect of pins on force distributions in frictionless jammed systems | Parts, Celia; Zhang, Andy; Ridout, Sean; Vollmayr-Lee, Katharina; Utter, Brian; Graves, Amy; Bester, Cacey | By introducing lattices of fixed pins of negligible size into two dimensional bidisperse systems with purely repulsive harmonic interactions, we provide a tuning parameter to systematically modify these properties. | Session 46: Packing and Jamming of Granular Materials |

724 | Mean-field predictions of scaling prefactors match low-dimensional jammed packings | Sartor, James; Ridout, Sean; Corwin, Eric | We present measurements of these prefactors in dimensions 2-10 and show that they do closely follow mean field predictions, suggesting a deeper connection. | Session 46: Packing and Jamming of Granular Materials |

725 | Energy landscape approach to understanding systems beyond jamming | Thirumalaiswamy, Amruthesh; Riggleman, Robert; Crocker, John | In this study, we use an energy landscape based approach to probe the existence of such inherent structure athermal energies and provide an algorithm to explore the energy landscape The algorithm is inspired by metadynamics, and proceeds as a high dimensional basin filling algorithm that allows us to explore the energy landscape of a model soft-sphere foam system. | Session 46: Packing and Jamming of Granular Materials |

726 | Effect of chain stiffness on athermal polymer jamming and phase behaviour | Martinez Fernandez, Daniel; Herranz, Miguel; Foteinopoulou, Katerina; Karayiannis, Nikos; Laso, Manuel | Through Monte Carlo simulations [1], we study the behavior of athermal, linear semiflexible polymers of tangent hard spheres at progressively increased concentrations. | Session 46: Packing and Jamming of Granular Materials |

727 | Percolation in metal-insulator composites of disordered jammed spherocylindrical nanoparticles | Pokhrel, Shiva; Waters, Brendon; Huang, ZhiFeng; Nadgorny, Boris | Here we investigate both experimentally and theoretically the electrical percolation in a binary system of disordered jammed spherocylinders. | Session 46: Packing and Jamming of Granular Materials |

728 | Characterizing the structure of a compression of hard sphere systems up to jamming | Middlemas, Timothy; Torquato, Salvatore | We study these metastable branches for a broad range of compression rates. | Session 46: Packing and Jamming of Granular Materials |

729 | Jamming and percolation of dimers in restricted-valence random sequential adsorption | Furlan, Alexandre; dos Santos, Diogo; Ziff, Robert; Dickman, Ronald | For the simplest case (pure on the square lattice) we prove the absence of percolation for maximum valence V max=2. | Session 46: Packing and Jamming of Granular Materials |

730 | 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 46: Packing and Jamming of Granular Materials |

731 | Vibrational Spectrum of Granular Packings with Random Matrices | Narayan, Onuttom; Mathur, Harsh | We propose that the random lattice model can therefore be applied to understand not only the spectrum but more general properties of bead packs including the spatial structure of modes both at the jamming point and far from it. | Session 46: Packing and Jamming of Granular Materials |

732 | Brazil nut effect controlled by vibration velocity | Umehara, Mika; Okumura, Ko | We find that the BN effect under discontinuous vibration is divided into two regimes and the final convection regime is clearly governed by vibration velocity. | Session 46: Packing and Jamming of Granular Materials |

733 | Enhanced dimensional accuracy and impact resistance of 3D printed polymers using core-shell filaments containing high density polyethylene | Ai, Jia-Ruey; Vogt, Bryan | Here, we describe how the core selection influences the dimensional accuracy of the printed part using a shell of HDPE (at 50 vol%) and cores of polycarbonate-based polymer with increment of glass transition temperature ( T g). | Session 47: Physics and Chemistry of Polymer 3D Printing |

734 | Simulated extrusion of filaments into support baths | Friedrich, Leanne; Seppala, Jonathan | In order to guide material selection for more reliable prints, we use numerical simulations in OpenFOAM to directly probe the effects of viscous dissipation, viscoelasticity, and interfacial energy on the three-dimensional shape and position of the printed filament within the support bath. | Session 47: Physics and Chemistry of Polymer 3D Printing |

735 | Simulation of polymer stretch and disentanglement in Fused-Filament Fabrication (FFF) | Dolata, Benjamin; Olmsted, Peter | We compare our results to prior analytical theory with simplified dynamics. | Session 47: Physics and Chemistry of Polymer 3D Printing |

736 | 3D Printed Absorber for Capturing Chemotherapy Drugs before they Spread through the Body | Oh, Hee Jeung; Aboian, Mariam; Yi, Michael; Maslyn, Jacqueline; Loo, Whitney; Jiang, Xi; Parkinson, Dilworth; Wilson, Mark; Moore, Terilyn; Yee, Colin; Robbins, Gregory; Barth, Florian; DeSimone, Joseph; Hetts, Steven; Balsara, Nitash | In the context of reducing the toxicity of chemotherapy, we have designed, built, and deployed porous adsorbers for capturing chemotherapy drugs from the blood stream after these drugs have had their effect on a tumor, but before they are released into the body where they can cause hazardous side effects. | Session 47: Physics and Chemistry of Polymer 3D Printing |

737 | 4D Printing of Shape Memory Polymers | Cavicchi, Kevin; Peng, Bangan | In this talk we will present approaches to 3D print shape memory polymers through digital light processing (DLP) and fused filament fabrication (FFF). | Session 47: Physics and Chemistry of Polymer 3D Printing |

738 | Material physics and metrology of material extrusion additive manufacturing | Seppala, Jonathan | In this talk, I will discuss the state of the art process, structure, and property characterizations, including determination of the melt-front in the “hot-end” using in-situ neutron imaging, in-situ residual stress measurements using thermography and high-speed birefringence, chain orientation from birefringence and polarized Raman spectroscopy, and flow-induced crystallization using autonomous experimentation with micro-focused wide-angle x-ray scattering. | Session 47: Physics and Chemistry of Polymer 3D Printing |

739 | Vat Photopolymerization in a Hybrid Atomic Force Microscope: In situ, Nanoscale Characterization of the Printing Process | Higgins, Callie; Brown, Tobin; Killgore, Jason | Here, we describe the instrument and demonstrate one of the three modalities for characterizing voxels during and after printing. | Session 47: Physics and Chemistry of Polymer 3D Printing |

740 | Volumetric 3D printing enabled by triplet fusion upconversion nanocapsules | Schloemer, Tracy; Sanders, Samuel; Gangishetty, Mahesh; Anderson, Daniel; Seitz, Michael; Stokes, Christopher; congreve, Daniel | Here, we present an analogous process driven by triplet fusion upconversion (UC). | Session 47: Physics and Chemistry of Polymer 3D Printing |

741 | Triplet-triplet annihilation polymerization (TTAP) for high resolution 3D printing | Limberg, David; Kang, Ji-Hwan; Hayward, Ryan | We demonstrate a unique 3D printing mechanism capable of fabricating sub-micron features, and present a model for the system combining established kinetics for TTA and photopolymerization, which provides insight into the mechanism and guides the choice of printing parameters. | Session 47: Physics and Chemistry of Polymer 3D Printing |

742 | Depth-Of-Cure Study and Printing Resolution Analysis of Stereolithography 3D Printing Resins | DeNivo, Keith; Smallwood, Anna; Pursel, Alena; Gloria, Patrick; Ryu, Chang | We have studied how the photopolymerization characteristics of SLA photocurable resins affect the 3D printing resolution and mechanical properties. | Session 47: Physics and Chemistry of Polymer 3D Printing |

743 | Chemical and Engineering Approaches for Soft Material Additive Manufacturing | Boydston, Andrew | In each example, we aim for complete geometric freedom as one would enjoy from vat photopolymerization or material fusion techniques, yet neither of our approaches use any photochemical or powder bed technologies. | Session 47: Physics and Chemistry of Polymer 3D Printing |

744 | 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 these infinite-dimensional features, and of some of the activated processes that affect the dynamical slowdown of simple yet realistic glass formers. | Session 48: Physics of Liquids |

745 | Potential Energy Landscape Formalism for Quantum Liquids | Giovambattista, Nicolas; Lopez, Gustavo | As an example, we apply the PEL approach to study a family of quantum monatomic liquids using path-integral Monte Carlo simulations. | Session 48: Physics of Liquids |

746 | Role of hydrogen bonded associates on the nanoscale dynamics of liquid and supercooled 2-propanol | Zhai, Yanqin; Luo, Peng; Zhang, Yang | We investigated 2-propanol by static and quasielastic neutron scattering experiments supported by molecular dynamics simulations on a series of partially and fully deuterated samples at temperatures ranging from the liquid, the deeply supercooled, to the glassy state. | Session 48: Physics of Liquids |

747 | Local self-motion of water through the Van Hove function | Shinohara, Yuya; Dmowski, Wojciech; Iwashita, Takuya; Ishikawa, Daisuke; Baron, Alfred; Egami, Takeshi | We report that the self-part of the Van Hove functions of water can be determined through inelastic X-ray scattering (IXS) experiments at high-Q. | Session 48: Physics of Liquids |

748 | Bulk and interfacial thermodynamics and dynamics of ionic liquids-oil mixtures: A molecular dynamics simulation study | Lazarenko, Daria; Khabaz, Fardin | In this work, all-atom MD simulations will be used to predict morphology, rheology, and interfacial thermodynamics of imidazolium-based ILs in oil. | Session 48: Physics of Liquids |

749 | Real-space Dynamics in Liquid Gallium using Inelastic Neutron Scattering | Sarathchandran, Yadu Krishnan; Shinohara, Yuya; Dmowski, Wojciech; Abernathy, Douglas; Egami, Takeshi | In this work, we demonstrate the anomalous nature of the correlated atomic dynamics of liquid gallium in real-space and time using the Van Hove function, G(r,t). | Session 48: Physics of Liquids |

750 | Experimental evidence of predicted dynamics-structure-thermodynamic correlation in glass-forming liquids | Mei, Baicheng; Zhou, Yuxing; Schweizer, Kenneth | We have re-visited this theory for monodisperse hard sphere metastable fluids using the modified-Verlet closure integral equation theory as structural input. | Session 48: Physics of Liquids |

751 | Towards a new paradigm for liquids dynamics (and thermodynamics) | baggioli, matteo; Zaccone, Alessio | By combining an analytic continuation of the Plemelj identity to the complex plane with the purely overdamped dispersion relation of the INMs, we amend this situation and we derive a closed-form analytic expression for the low-frequency DOS of liquids. | Session 48: Physics of Liquids |

752 | Ascent dynamics: an efficient algorithm probing long timescale dynamics | Li, Zhixia; Zhang, Yang | Here, we present a new accelerated simulation method, ascent dynamics, which allows the system to escape deep energy minima through crossing saddle points with given index explicitly at finite temperatures. | Session 48: Physics of Liquids |

753 | Two Liquids in One: Liquid-Liquid Transition in Ionic Liquids | Harris, Matthew; Kinsey, Thomas; Wagle, Durgesh; Baker, Gary; Sangoro, Joshua | In this study, a homologous series of ionic liquids with various anions has been investigated using X-ray scattering techniques, broadband dielectric spectroscopy, Raman spectroscopy, and differential scanning calorimetry to characterize the nature of the liquid-liquid transition and identify molecular parameters that influence the phase behavior in these materials. | Session 48: Physics of Liquids |

754 | Isothermal Crystallization Monitoring and Time-Temperature-Transformation of Amorphous GDC-0276 and nifedipine: Differential Scanning Calorimetric and Rheological measurements | Cheng, Sixue; Chakravarty, Paroma; Nagapudi, Karthik; McKenna, Gregory | In the present work, the isothermal crystallization of amorphous pharmaceutical compounds GDC0276 and nifedipine are monitored by two different screening techniques: differential scanning calorimetric and rheometric measurements. | Session 48: Physics of Liquids |

755 | Probing medium viscoelasticity using signal transmission through coupled harmonic oscillators | Kundu, Avijit | This paper explores a similar problem in Jeffery viscoelastic fluid constituted of multiple polymeric time-constants. | Session 48: Physics of Liquids |

756 | Improvements of Simulation Methods in Microphase Formers | Zheng, Mingyuan; Charbonneau, Patrick | In this work, we evaluate the sampling efficiency of several enhanced Monte Carlo sampling techniques for disordered microphases, and devise optimized algorithms for specific regimes including cluster and percolated fluids. | Session 48: Physics of Liquids |

757 | Dynamic diversity of soft medium-range homo-radical self-assembly and rigid metal-organic network in non-aqueous redox flow batteries | Farag, Hossam; Kaur, Aman; Robertson, Lily; Shkrob, Ilya; Zhang, Lu; odom, susan; Zhang, Yang | Two solutions were compared: one contained metal cation electrolyte prone to form rigid hetero-charge network, and one contained phenothiazine organic catholyte preferring softer homo-radical stacking. | Session 48: Physics of Liquids |

758 | Chemical Phenomena at the Critical Point of Solution | Baird, James; Norris, Pauline; Wang, Xingjian; Lang, Joshua | Using a binary liquid mixture with a critical point of solution, we have shown that critical effects can also be observed in chemical phenomena as diverse as solubility, adsorption, and ion exchange. | Session 48: Physics of Liquids |

759 | Atomic Trajectories in Liquid Films Driven over a Substrate | Cam, Metehan; Goedde, Christopher; Lichter, Seth | We aim to apply new knowledge of the physics of the liquid-solid interfaces for developing molecular-level separation mechanisms mediated by solid substrates. | Session 48: Physics of Liquids |

760 | Charge oscillations in ionic liquids: A microscopic cluster model | Avni, Yael; Adar, Ram; Andelman, David | We develop an IL microscopic theory in terms of ionic clusters, which describes the IL behavior close to charged interfaces. | Session 48: Physics of Liquids |

761 | Dynamic view on ionic liquids acting in confinement for wood pretreatment | Frielinghaus, Henrich; Szekely, Noemi; Mangiapia, Gaetano; Hövelmann, Claas; Marks, Caroline; Viell, Joern | In this dynamic process we could identify three stages: (1) the impregnation, i.e. the flooding of the wood by the liquid, (2) the formation of small voids on the nanoscale, and (3) the formation of restructured nanocellulose fibrils on larger scales. | Session 48: Physics of Liquids |

762 | Conductance of Li-Ionic-Liquid Mixtures in Nanoporous MOFs as Separators for Li-Ion-Batteries | Vazquez, Micaela; Liu, Modan; Zhang, Zejun; Chandresh, Abhinav; Kanj, Anemar Bruno; Wenzel, Wolfgang; Heinke, Lars | Here, we investigate the mobility of Li-IL in the MOF and unveil the detailed conduction mechanism by all-atom molecular dynamics (MD). | Session 48: Physics of Liquids |

763 | Phase diagram of the two-dimensional symmetric associating lattice gas | Ibagon, Ingrid; Furlan, Alexandre; Dickman, Ronald | We use extensive Monte Carlo simulations to investigate the phase diagram of the symmetric associating lattice gas (ALG) model. | Session 48: Physics of Liquids |

764 | The Shape of Data in Chemistry – Insights Gleaned from Complex Solutions and Their Interfaces | Clark, Aurora | Highly non-ideal solutions are ever-present within chemistry, physics, and materials science – and are characterized by many-body effects across length and timescale. | Session 48: Physics of Liquids |

765 | No underscreening in dense electrolytes | Zeman, Johannes; Kondrat, Svyatoslav; Holm, Christian | Herein, we study bulk ionic screening with extremely large-scale molecular dynamics simulations, allowing us to assess the range of distances relevant to the experiments. | Session 48: Physics of Liquids |

766 | Expansion and shrinkage of the electrical double layer in charge-asymmetric electrolytes | Guerrero-Garcia, Guillermo; Gonzalez-Tovar, Enrique | In this work, we study the thickness of the electrical double layer as a function of the colloidal charge in the presence of several binary charge-asymmetric 1: z electrolytes with monovalent counterions and multivalent coions. | Session 48: Physics of Liquids |

767 | Effect of Electric Fields on the Director Field and Shape of Nematic Tactoids | Safdari, Mohammadamin; Zandi, Roya; Van der Schoot, Paul | We explain this by extending the Ocean-Frank elastic model of Kaznacheev et al. for bipolar tactoids to partially bipolar tactoids, where the degree of bipolarness of the director field is free to adjust itself to optimize the sum of the elastic, surface, and Coulomb free energies of the drops. | Session 48: Physics of Liquids |

768 | Structural and electronic transition in liquid rubidium | Kartoon, Daniela; Makov, Guy | Applying the quasi-crystalline model (QCM) we find that the short-range order of liquid Rb changes abruptly from bcc-like to b-tin-like at pressures between 14-20 GPa. | Session 48: Physics of Liquids |

769 | Symmetries and Hard Disk Configuration Spaces | Ericok, Ozan; Mason, Jeremy | Symmetries and Hard Disk Configuration Spaces | Session 48: Physics of Liquids |

770 | Markerless tracking of an entire insect colony | Bozek, Katarzyna; Hebert, Laetitia; Portugal, Yoann; Stephens, Greg | We present a method for the markerless tracking of nearly all individuals in a colony of honey bees Apis mellifera. | Session 49: Physics of Social Interactions |

771 | Voronoi analysis of laboratory midge swarms | Feng, Yenchia; Yang, Patricia; Ouellette, Nicholas | By constructing Voronoi tessellations of swarms, we demonstrate that we can divide them into distinct concentric layers. | Session 49: Physics of Social Interactions |

772 | Specialization and plasticity in a primitively social insect | Patalano, Solenn; Alsina, Adolfo; Rulands, Steffen; Reik, Wolf | Here we use primitive societies of Polistes wasps as a model system where we experimentally perturb the social structure by removing the queen and follow the re-establishment of the social steady state over time. | Session 49: Physics of Social Interactions |

773 | Black soldier larvae actively modify packing density under ramping airflows | Ko, Hungtang; Shishkov, Olga; Aydin, Enes; Hu, David; Goldman, Daniel | In a fluidized bed (9.5 cm in diameter) of active granular media consisting of 300 and 600 g of black soldier fly larvae, we observe no hysteresis in a fluidization/defluidization cycle, while dead (freshly frozen) larvae behave like inert granular media. | Session 49: Physics of Social Interactions |

774 | Modeling collective dynamics of aquatic worm blobs | Nguyen, Chantal; Ozkan-Aydin, Yasemin; Bhamla, Saad; Peleg, Orit | We demonstrate how a blob is able to collectively traverse temperature gradients via the coupling between the active motion and the environment. | Session 49: Physics of Social Interactions |

775 | Critical density in collective escape waves in fish | Poel, Winnie; Daniels, Bryan; Sosna, Matthew; Twomey, Colin; Couzin, Iain; Romanczuk, Pawel | We find that even though dynamical range and sensitivity are maximized at the critical point, the fish schools remain subcritical, which we attribute to a trade-off between false and true positives. | Session 49: Physics of Social Interactions |

776 | Early social context alters paired interactions in the bumblebee Bombus impatiens | McKenzie-Smith, Grace; Wang, Z. Yan; Cho, Hyo Jin; Pereira, Talmo; Kocher, Sarah; Shaevitz, Joshua | In this study we investigate whether this period is also an important part of social development by quantifying the effects of social isolation on adult behavior. | Session 49: Physics of Social Interactions |

777 | Collective problem solving by social insects | Mahadevan, Lakshminarayanan | Motivated by observations in the field and in the lab, I will describe our attempts to understand how insects build and use active architectures to regulate their micro-environment in such contexts as termite mound morphogenesis and physiology, and active ventilation, mechanical stabilization and thermoregulation in bee clusters. | Session 49: Physics of Social Interactions |

778 | De Gennes’s "Ant is A Labyrinth" problem confronted by real ants | feinerman, ofer; Gelblum, Aviram; Fonio, Ehud; Rodeh, Yoav; Korman, Amos | To set a scale on the navigational efficiency of the ants ,we mapped their motion onto the ‘Ant-in-a-Labyrinth’ framework which studies physical transport through disordered media. | Session 49: Physics of Social Interactions |

779 | Analysis of the internal structure of honeybee swarms with x-ray CT | Shishkov, Olga; Nave, Gary; Peleg, Orit | We use x-ray computed tomography to investigate how honey bees structure their arrangement within the swarm such that the load on each bee is bearable, the bees do not fall down, and the swarm can adapt to the changing environment. | Session 49: Physics of Social Interactions |

780 | Collective Aggregation via Directed Pheromone Signaling in Honeybee Swarms | Nguyen, Dieu My; Iuzzolino, Michael; Mankel, Aaron; Bozek, Katarzyna; Stephens, Greg; Peleg, Orit | We combine a novel behavioral assay with computer vision for bee detection and scenting recognition to track the swarming dynamics. | Session 49: Physics of Social Interactions |

781 | Group size effects in jackdaw flocks | Yang, Patricia; Feng, Yenchia; Mclvor, Guillam; Thornton, Alex; Ouellette, Nicholas | We will describe the structure and dynamics of more than 100 transit flocks of jackdaws, a highly social corvid species, measured in the field. | Session 49: Physics of Social Interactions |

782 | Quantifying the pairwise fighting behavior of zebrafish in 3D | O’Shaughnessy, Liam; Izawa, Tatsuo; Shaevitz, Joshua; Stephens, Greg | We study fighting behavior in pairs of male zebrafish imaged at high spatiotemporal resolution in 3D. | Session 49: Physics of Social Interactions |

783 | Information spread enhanced by criticality in high-responsive groups of fish | Gómez Nava, Luis Alberto; Lange, Robert; Klamser, Pascal; Sprekeler, Henning; Romanczuk, Pawel | We study high-density giant schools of fish (sulphur mollies; up to 3000 fish/m2) which in their natural habitat (sulphuric ponds/streams) are mostly confined to the surface. | Session 49: Physics of Social Interactions |

784 | Mean Field Trajectories in a Spin Model for Decision Making on the Move | Gorbonos, Dan; Couzin, Iain; Gov, Nir | A model of collective decision making regarding direction of travel was introduced as an extension of the Ising model where the spin-spin interaction is interpreted as a social force. | Session 49: Physics of Social Interactions |

785 | Vocal communication as cooperative sensing for navigation | Zhang, Yisi; Ghazanfar, Asif | In both the laboratory and field studies, changes in acoustic features of affiliative vocalizations exhibit a consistent relationship with physical distance from conspecifics: longer distances induce louder calls. | Session 49: Physics of Social Interactions |

786 | The Emergence of a Collective Threshold in the Response of Colonies of Clonal Raider Ants to Temperature Perturbations | Gal, Asaf; Kronauer, Daniel | Here we study this emergence in the clonal raider ant ( Ooceraea biroi), a model system that provides convenient and precise control over the properties of the colony. | Session 49: Physics of Social Interactions |

787 | A model of collective behavior based purely on vision | Bastien, Renaud; Romanczuk, Pawel | Our work suggests a different approach for the development of purely vision-based autonomous swarm robotic systems and formulates a mathematical framework for exploration of perception-based interactions and how they differ from physical ones. | Session 49: Physics of Social Interactions |

788 | Social cognition— shaped by Social Complexity or Coercion? A test with socially complex fish | Cummings, Molly | Our research enables us to identify the social factors that contribute to the development of adult behavior, cognitive abilities, and the forces that shape the circuitry of the vertebrate brain. | Session 49: Physics of Social Interactions |

789 | A pipeline for robustly measuring social behavior using deep learning | Agezo, Sena; Borie, Amelie; Kacsoh, Dori; Young, Larry; Liu, Robert; Berman, Gordon | To improve the tracking of animals within social contexts, where the animals are in close proximity for long periods of time, we implemented a pipeline that combines multiple deep-learning-based tracking methods to obtain detailed and high-accuracy postural trajectories of multiple animals. | Session 49: Physics of Social Interactions |

790 | Evolutionary spatial games with mean-field interactions | Antonov, Dmitriy; Burovski, Evgeni; Shchur, Lev | We introduce a mean-field term to an evolutionary spatial game model. | Session 49: Physics of Social Interactions |

791 | Yeasts collectively extend the limits of habitable temperatures | Laman Trip, Diederik; Youk, Hyun | We show that budding yeasts, despite being single-celled organisms, collectively combat rising temperatures [1]. | Session 49: Physics of Social Interactions |

792 | Early warning signals in motion inference | Hart, Yuval; Vaziri Pashkam, Maryam; Mahadevan, Lakshminarayanan | We show that the transition to action has the hallmark of a critical transition that is accompanied by early warning signals. | Session 49: Physics of Social Interactions |

793 | Synchronization of Coupled Kuramoto Oscillators under Resource Constraints | Kroma-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 49: Physics of Social Interactions |

794 | Information Propagation and Synchrony in Firefly Natural Swarms | Sarfati, Raphael; Peleg, Orit | Despite casual descriptions of collective flashing and hasty analogies with models of coupled oscillators, careful observations and quantitative analysis suggest that the underlying mechanisms of synchrony are complex and remain poorly understood. | Session 49: Physics of Social Interactions |

795 | Ecological significance of imperfectly synchronized collective behaviors | Martinez Garcia, Ricardo; Rossine, Fernando; Sgro, Allyson; Gregor, Thomas; Tarnita, Corina | We propose that Dictyostelium loners—cells that do not join the multicellular life stage— arise from a dynamic population-partitioning process, the result of each cell making a stochastic, signal-based decision. | Session 49: Physics of Social Interactions |

796 | Universal scaling laws of interaction time distribution in honeybee and human social networks | Choi, Sang Hyun; Rao, Vikyath; Gernat, Tim; Hamilton, Adam; Robinson, Gene; Goldenfeld, Nigel | We report high-throughput automated measurements of trophallaxis and face-to-face event durations of honeybees. | Session 49: Physics of Social Interactions |

797 | An Adaptive Voter Model in Heterogeneous Environments | Chu, Olivia; Wiedermann, Marc; Donges, Jonathan | In this work, we explore the effects that such heterogeneous preferences have on the dynamics of the adaptive voter model. | Session 49: Physics of Social Interactions |

798 | Catalyzing Collaborations: A Model for the Dynamics of Team Formation at Conferences | Zajdela, Emma; Abrams, Daniel; Wiener, Richard; Feig, Andrew | In this work, I present a dynamical model for predicting the formation of scientific collaborations at conferences, inspired by the process of catalysis. | Session 49: Physics of Social Interactions |

799 | Accurate Density-Functional Fluctuation Theory (DFFT) approach to forecasting ethnic composition of neighborhoods. | Barron, Boris; Kinkhabwala, Yunus; Hall, Matthew; Cohen, Itai; Arias, Tomas | Here, we demonstrate the power of Density-Functional Fluctuation Theory (DFFT) to address challenges (1) and (2) to produce novel forecasts of neighborhood-level composition changes. | Session 49: Physics of Social Interactions |

800 | Opinion dynamics under antagonistic influences | Bhat, Deepak | We study the opinion dynamics of a generalized voter model in which N voters are additionally influenced by two antagonistic news sources. | Session 49: Physics of Social Interactions |

801 | Understanding mate choice signal-receiver dynamics using a phase space embedding approach | Etheredge, Robert; Stephens, Greg; Jordan, Alex | Here we use high-resolution descriptions of animal movement to build a principled basis for investigating courtship signaling dynamics in guppies. | Session 49: Physics of Social Interactions |

802 | Psychophysics of Musical Rhythms and the Riddle of Swing | Geisel, Theo; Nelias, Corentin; Datseris, George | Can we clarify the controversial role of microtiming deviations for the swing feel? | Session 49: Physics of Social Interactions |

803 | Effects of Heterogeneous Segmental Friction on the Multi-Scale Dynamics of Polymer Nanocomposites | Young, Walter; Saez, Joseph; Kumlin, Thomas; Fukao, Koji; Katsumata, Reika | The effect of 2VP content in the copolymer on the multi-scale dynamics of the system will be discussed in this presentation. | Session 50: Polymer Nanocomposites: Dynamics |

804 | Viscoelastic Properties of Wrinkled Graphene Reinforced Polymer Nanocomposites – Effect of Interlayer Sliding Among Graphene Sheets | Wang, Yitao; Breslin, Jane; Chiang, Cho Chun; Meng, Zhaoxu | Building upon the developed coarse-grained models of MLGS and PMMA coupled with molecular dynamics simulations, we have systematically investigated wrinkled MLGS reinforced PMMA nanocomposites with different numbers of graphene layers and different configurations of the wrinkles. | Session 50: Polymer Nanocomposites: Dynamics |

805 | Dynamical Decomposition in Model Polymer Nanocomposites under Creep | Yang, Entao; Pressly, James; Natarajan, Bharath; Winey, Karen; Riggleman, Robert | We prove that our decomposition can be further expanded to PNCs under creep, at least within the linear response region. | Session 50: Polymer Nanocomposites: Dynamics |

806 | 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 50: Polymer Nanocomposites: Dynamics |

807 | Dynamic Properties of Filled Elastomers | Dhara, Deboleena; Rahman, Md Anisur; Abbas, Zaid; Benicewicz, Brian; Couty, Marc; Vlassopoulos, Dimitris; Kumar, Sanat | In this study, we use polymer grafted silica particles to get better control over the dispersion of the particles in an elastomeric matrix. | Session 50: Polymer Nanocomposites: Dynamics |

808 | Dynamics of Nanorods in Polymer Melts | Wang, Jiuling; Ge, Ting; O’Connor, Thomas; Grest, Gary | We perform molecular dynamics simulations of thin nanorods in polymer melts, where the rod diameter is equal to the monomer size. | Session 50: Polymer Nanocomposites: Dynamics |

809 | Unusual High-Frequency Mechanical Properties of Polymer Grafted Nanoparticle Melts | Jhalaria, Mayank; Cang, Yu; Huang, Yucheng; Benicewicz, Brian; Kumar, Sanat; Fytas, George | We use Brillouin light scattering to characterize the high-frequency mechanical response of polymer-grafted nanoparticle (GNP) melts where the grafted chain molecular weight and grafting density is systematically varied at fixed NP size (diameter, D=16 nm). | Session 50: Polymer Nanocomposites: Dynamics |

810 | Magnetic Heat Generation Mechanisms of Iron Oxide–Poly(ethylene oxide) Nanocomposites | Weiblen, Donovan; Rende, Deniz; Akcora, Pinar; Ozisik, Rahmi | Magnetic Heat Generation Mechanisms of Iron Oxide–Poly(ethylene oxide) Nanocomposites | Session 50: Polymer Nanocomposites: Dynamics |

811 | Structure and dynamics of polymer nanocomposites with different interactions | Genix, Anne-Caroline; bocharova, Vera; Sokolov, Alexei; Oberdisse, Julian | In the second polydisperse and disordered SB system, we propose a reverse Monte-Carlo analysis of the scattering data giving access to NP aggregate mass distributions. | Session 50: Polymer Nanocomposites: Dynamics |

812 | Effect of polymer-nanoparticle interaction strength on viscoelastic creep attenuation in polymer nanocomposites | Pressly, James; Yang, Entao; Bailey, Eric; Denby, Tia; Natarajan, Bharath; Riggleman, Robert; Winey, Karen | In this study, we examine the long-term creep behavior of a model nanocomposite system consisting of 13 and 52 nm diameter silica nanoparticles (NPs) dispersed in a matrix of 200 kg/mol poly(2-vinylpyridine) (P2VP). | Session 50: Polymer Nanocomposites: Dynamics |

813 | Solvent induced phase behavior 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 coarsen the in-plane and out-of-plane surface patterns, to over 3 and 20 times respectively, by using a direct solvent immersion annealing (DIA) method. | Session 50: Polymer Nanocomposites: Dynamics |

814 | Theory of segmental relaxation and shear elasticity in polymer nanocomposites | Zhou, Yuxing; Schweizer, Kenneth | We recently studied dynamic elasticity in melt polymer nanocomposites (PNCs) using naïve mode coupling theory with structural inputs obtained from PRISM theory (J. Chem. | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

815 | Molecular Orientation of Phenyl Groups at Graphene/Polystyrene Interface | Kumar, Nityanshu; Singla, Saranshu; Yang, Feipeng; Foster, Mark; Tsige, Mesfin; Dhinojwala, Ali | Here, we report the use of interface-sensitive sum-frequency generation spectroscopy (SFG), molecular dynamics (MD) simulations, and density functional theory (DFT) to study the orientation of polystyrene chains next to graphene/polystyrene interface. | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

816 | Effect of Chemical Heterogeneity and Architecture of the Interphase on the Rheological Behavior of Polymer Nanocomposites | Wu, Di; Akcora, Pinar | Effect of Chemical Heterogeneity and Architecture of the Interphase on the Rheological Behavior of Polymer Nanocomposites | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

817 | Investigation of polymer behavior confined in the heterogeneous environment using a 2-dimensional model nanocomposite | Gong, Chen; Weiblen, Donovan; Rende, Deniz; Wu, Di; Akcora, Pinar; Ozisik, Rahmi | In the current work, a 2-dimensional model nanocomposite is adopted to help understand local thermal properties and dynamics at the heterogeneous interface. | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

818 | Photostability of Organic Glasses under Extreme Nanoconfinement | Chen, Yueli; Wang, Haonan; Shamsabadi, Ahmad; Fakhraai, Zahra | Previous work has established capillary rise infiltration (CaRI) technique can induce extreme nanoconfinement and significantly affect the properties of materials. | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

819 | The Critical Role of the Interfacial Layer in Polymer Nanocomposites | Sokolov, Alexei | In this talk we overview recent studies on structure and dynamics of the interfacial layer in various polymer nanocomposites (PNCs). | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

820 | Characteristics of the bound polymer layer in polymer nanocomposites | Lin, Emily; Wang, Kaitlin; Frischknecht, Amalie; Winey, Karen; Riggleman, Robert | In this study, we used classical density functional theory (DFT) calculations and molecular dynamics (MD) simulations to characterize the effect of polymer-nanoparticle interaction, polymer chain length, and nanoparticle size on the polymer conformation and adsorption thermodynamics and dynamics in the bound polymer layer. | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

821 | Molecular Design of Hairy Nanocrystals for Elastomeric Reinforcement | Srivastava, Aarushi; Zhao, Yihong; Meyerhofer, John; Jia, Li; Foster, Mark | Molecular Design of Hairy Nanocrystals for Elastomeric Reinforcement | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

822 | Modifying the surface properties of polymer films by utilizing polymer/inorganic nanocomposites | Anastasiadis, Spiros; Krasanakis, Fanourios; Chatzaki, Thaleia-Michaela; Theodorakis, Antigonos; Chrissopoulou, Kiriaki | In this work, we report on the development of superhydrophobic and water repellent polymer nanocomposite coatings deposited on soft polyethylene, PE, substrates by utilizing nanoadditives of different geometries and sizes. | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

823 | Polymer/Graphene oxide nanocomposites: Effect of the interfacial interactions on the structure and properties. | Krasanakis, Fanourios; Karnis, Ioannis; Rissanou, Anastassia; Karatasos, Konstantinos; Chrissopoulou, Kiriaki | In this work, nanohybrids of either linear or hyperbranched polymers and graphene oxide (GO) of varying degree of oxidation are developed to investigate the effect of the different hydrophilicity of the filler on the final structure and properties of the nanohybrids. | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

824 | Nano-indentation of nanocomposite polyester coatings | Ahuja, Suresh | The aim of this study was to compare and analyze the mechanical response of nano-indentation loading on surfaces and interfaces of polyester films both linear and cross-linked. | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

825 | Revealing the structures and dynamics of isotactic polypropylene bound to carbon fibers | Huang, Zhixing; Nakanishi, Yohei; Endoh, Maya; Uchida, Kiminori; Yamada, Takeshi; Mita, Kazuki; Koga, Tad | Here we present the structures and dynamics of the BPL layer formed on carbon fiber (CF) surfaces. | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

826 | Multiple roles of bound polymer chains in rubber reinforcement | Koga, Tad; Salatto, Daniel; Carrillo, Jan-Michael; Endoh, Maya; Masui, Tomomi; Kishimoto, Hiroyuki; Taniguchi, Takashi; Tyagi, Madhusudan; Sakai, Victoria; Kruteva, Margarita; Richter, Dieter; Nagao, Michihiro | To address this issue, we tackle the critical, but unsolved issue in the field: the roles of polymer chains bound to the filler surface in improving mechanical properties. | Session 51: Polymer Nanocomposites: Surfaces and Interfaces |

827 | Phase Behavior of Polymer-Grafted Nanoparticles | Frischknecht, Amalie; Koski, Jason; Santos, Andrew | We use theoretically-informed Langevin dynamics (TILD) simulations to determine the structure of polymer brushes on single grafted NPs and to calculate equilibrium phase diagrams in solution. | Session 52: Polymer Structure Formation and Dynamics in Solution: Chain Conformations and Phase Separation |

828 | The Bulk Phase Behavior of Ternary Mixtures of Polymers and Two Good Solvents | Zhang, Xiangyu; Zong, Jing; Meng, Dong | In this study, we combine the self-consistent field (SCF) calculations and the Gibbs-ensemble simulations that employ identical models to determine the binodal curves of ternary mixtures of polymers and two good solvents. | Session 52: Polymer Structure Formation and Dynamics in Solution: Chain Conformations and Phase Separation |

829 | Shear-Sensitive Chain Extension of Poly(ethylene oxide) by Aluminate Ions During Concrete Curing | Hoagland, David; Srivastava, Satyam; Fink, Zachary; Russell, Thomas; Burns, Elizabeth | We hypothesize weak, attractive ion-mediated chain-chain interactions, and in particular, a weak coupling between hydroxyl end groups (at just one PEO chain end) disrupted by the shearing during intrinsic viscosity measurements. | Session 52: Polymer Structure Formation and Dynamics in Solution: Chain Conformations and Phase Separation |

830 | Helical Persistence Length of Poly-L-Lysine | Wilcox, Kathryn; Dingle, Marlee; Morozova, Svetlana | In order to understand the role of α-helical flexibility in protein function, we investigate the helical and electrostatic contributions to the persistence length ( l p) of poly-L-lysine (PLL) independently by inducing a coil-helix transition by changing the pH, and probing the electrostatic effects by changing the solution ionic strength. | |

831 | Kinetics of xanthan in denaturation and renaturation process in dilute aqueous NaCl solution | Tomofuji, Yu; Terao, Ken; Matsuo, Koichi | Our research suggests that the slow deformation and rapid recovery of ordered structure of the main chain may contribute to maintain the functionality derived from the polymer conformation. | |

832 | Ion jacket regulates flexible biopolymer conformation in salt mixtures | Innes-Gold, Sarah; Jacobson, David; Pincus, Philip; Stevens, Mark; Saleh, Omar | We use single-molecule magnetic tweezers to measure three biological PEs in various salt mixtures. | |

833 | Characterizing Synthetic Random Heteropolymers through Simulation | Hilburg, Shayna; Xu, Ting; Alexander-Katz, Alfredo | Here, we present the impact of composition, molecular weight, and solvent environment on a single-chain methacrylate-based synthetic heteropolymer system. | |

834 | Decoupling conjugated polymer’s backbone and sidechain conformation by selective deuteration and neutron scattering | Cao, Zhiqiang; Li, Zhaofan; Zhang, Song; Galuska, Luke; Li, Tianyu; Do, Changwoo; Xia, Wenjie; Hong, Kunlun; Gu, Xiaodan | We obtained the form factor of P3ATs’ backbone, sidechains, and cross scattering term by deconvoluting their respective scattering signals. | |

835 | Designing Bottlebrush Additives with Polyfluoropolyether (PFPE) Sidechains: Focus on Bottlebrush Architecture and Effects of Solvent Quality | Tu, Sidong; Choudhury, Chandan; Wei, Liying; Luzinov, Igor; Kuksenok, Olga | We develop a coarse-grained model of this amphiphilic bottlebrush using dissipative particle dynamics (DPD) approach and validate our model with respect to the prior molecular dynamics simulations and experimental studies. | |

836 | Coarse-grained Simulations of Poly (ethylene oxide) Linear Chains and Catenanes in dilute solutions | Chen, Jiuke; qian, kun; Tsige, Mesfin | Here, we report Molecular dynamics (MD) simulation results on the structural and dynamical properties of PEO linear chains and catenanes in dilute solutions. | |

837 | Entropy Driven Assemblies in Dilute Solution | Xu, Ting | I will describe a recent studies showing that chemical diversity and complexity can enhance system miscibility such that entropy-driven phase behavior can be realized in composites. | |

838 | Structure-property relationships of branched polyethylene in dilute solution | Ivancic, Robert; Thompson, Chase; Orski, Sara; Audus, Debra | Here, we perform molecular dynamics simulations using an experimentally inspired potential to study the structure-property relationships of branched polyethylene in the dilute regime. | |

839 | Nitroxide Radical Polymer-Solvent Interactions and Solubility Parameter Determination | Easley, Alexandra; Vukin, Lillian; Flouda, Paraskevi; Howard, Dylan; Pena, Jose; Lutkenhaus, Jodie | In this talk, the Hildebrand and Hansen solubility parameters of poly(2,2,6,6-tetramethylpiperidinyloxy-4-yl methacrylate) (PTMA) and oxidized PTMA (PTMA+) will be discussed from both experimental and group contribution methods. | |

840 | Formation and Equilibration of Block Copolymer Micelle in Ionic Liquids via Co-solvent Method | Chen, Liwen; Early, Julia; Lodge, Timothy | In this work, 1,2-polybutadiene- b-poly(ethylene oxide) (PB-PEO) was first dissolved in a mixture of the PEO-selective ionic liquid 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide and a neutral solvent dichloromethane. | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

841 | Criteria governing rod formation vs. wormlike micelle growth in self-assembled polymers | McCauley, Patrick; Patel, Kush; Kumar, Satish; Calabrese, Michelle | This research sheds light on the fundamental role of poloxamer subunit and solution conditions on assembly and growth processes, providing a comprehensive dataset for validating thermodynamic models. | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

842 | Self-assembly of Amphiphilic Bottlebrush Bock Copolymers in Solution | Pan, Tianyuan; Patel, Bijal; Walsh, Dylan; Dutta, Sarit; Guironnet, Damien; Diao, Ying; Sing, Charles | Using this new model, we perform non-dilute Molecular Dynamics simulations of bottlebrush block copolymer solution assembly. | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

843 | Solution Self-Assembly of Coil-Crystalline Diblock Copolypeptoids: The Effects of Linear and Branched N-Alkyl Substituents | Jiang, Naisheng; Kang, Liying; Chao, Albert; Zhang, Meng; Yu, Tianyi; Wang, Jun; John, Vijay; Li, Ruipeng; Fukuto, Masafumi; Zhang, Donghui | Solution Self-Assembly of Coil-Crystalline Diblock Copolypeptoids: The Effects of Linear and Branched N-Alkyl Substituents | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

844 | Computational Reverse-Engineering Analysis for Scattering Experiments (CREASE) on the Self-Assembly of Amphiphilic Polymer-peptide Conjugates | Ye, Ziyu; Jayaraman, Arthi | Taking in scattering intensity profiles and polymer chemistries as inputs, CREASE combines genetic algorithm and molecular reconstruction simulations to determine the peptide amphiphile bilayer composition, vesicle dimensions (e.g. core diameter, layer thicknesses) and molecular level packing within the nanostructure. | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

845 | Equilibration and Dynamics in Block Copolymer Micelles | Lodge, Timothy | We will describe measurements using dynamic light scattering, small-angle X-ray scattering, and liquid-phase TEM to follow the fragmentation process in detail. | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

846 | Self-Growing Polymer Gels with Tunable Swelling Properties | Chatterjee, Rayan; Biswas, Santidan; Yashin, Victor; Balazs, Anna | To this end, we present a minimalistic theoretical model of two types of self-growing polymer gels, one comprising of an interpenetrating network (IPN) of two parent-chains, and the other one consisting of a random copolymer network (RCN), with the copolymers being formed by an inter-chain exchange between the IPN units. | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

847 | Salt Dependent Structure in Methylcellulose Fibrillar Gels | Liberman, Lucy; Schmidt, Peter; Coughlin, McKenzie; Matatyaho, Asia; Davidovich, Irina; Edmund, Jerrick; Ertem, S. Piril; Morozova, Svetlana; Talmon, Yeshayahu; Bates, Frank; Lodge, Timothy | We propose two different mechanisms of fibril diameter reduction with the addition of salt. | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

848 | The role of hydrogen bonding and chain configuration in magnetically-induced ordering of block copolymer systems | Kresge, Grace; Calabrese, Michelle | We recently discovered anomalous field-induced phase transitions in industrially-relevant BCP solutions (20-30 wt%) using weak magnetic fields (B > 0.5 T), which can be used to control their self-assembly and long-range ordering. | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

849 | Effect of poly(N-isopropylacrylamide) grafting on the temperature dependent properties of methylcellulose solutions | Coughlin, McKenzie; Edmund, Jerrick; Bates, Frank; Lodge, Timothy | In this study, we present the effect of PNIPAm on the chain conformation and fiber formation of MC. | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

850 | Free Energy Profile for Chain Expulsion from a Diblock Copolymer Micelle | Seeger, Sarah; Dorfman, Kevin; Lodge, Timothy | We utilize umbrella sampling to probe the full free energy profile of expulsion of a single chain from a diblock copolymer micelle in solvent. | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

851 | Structure and dynamics of polymeric hybrid physical-covalent assemblies of computationally designed peptidic bundlemers | Sinha, Nairiti; Shi, Yi; Jensen, Grethe; Pochan, Darrin | Structure and dynamics of polymeric hybrid physical-covalent assemblies of computationally designed peptidic bundlemers | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

852 | The Cosolvent Effects on Micellization of Diblock Copolymers in a Selective Solvent | Zong, Jing; Zhang, Xiangyu; Meng, Dong | In this study, the Field-Accelerated Monte Carlo simulation and the self-consistent field calculations are employed in the grand canonical ensemble to examine the influence of adding a mutual solvent (a good solvent for both polymer blocks) on the DBC micelles formed in a selective solvent. | Session 53: Polymer Structure Formation and Dynamics in Solution: Structure and Assembly |

853 | Coordinated experimental analysis of swollen polymer networks shows linear synthesis-swelling correlations and reveals fundamental inconsistencies in theoretical equations | Richbourg, Nathan; Peppas, Nikolaos | Here, we show that equilibrium swelling theory overestimates the importance of the equilibrium-swollen polymer volume fraction. | Session 54: Polymeric Networks, Elastomers and Gels |

854 | Bridging Dynamic Regimes of Segmental Relaxation and Center-of-Mass Diffusion in Associative Protein Hydrogels | Rao, Ameya; Yao, Helen; Olsen, Bradley | Bridging Dynamic Regimes of Segmental Relaxation and Center-of-Mass Diffusion in Associative Protein Hydrogels | Session 54: Polymeric Networks, Elastomers and Gels |

855 | Double-twist elastomers: mechanical untwisting and chiral buckling | Rutenberg, Andrew; Kreplak, Laurent; Leighton, Matthew | Motivated by collagen fibrils, we adapt the theory of nematic elastomers to cross-linked double-twist cylinders. | Session 54: Polymeric Networks, Elastomers and Gels |

856 | Development of non-invasive shear wave elastography to assess the mechanical and fracture behavior of tough model gels | Le Blay, Heiva; Deffieux, Thomas; Tanter, Mickaël; Marcellan, Alba | This approach gives new insights into soft matter fracture. | Session 54: Polymeric Networks, Elastomers and Gels |

857 | Mechanochemistry as a Tool to Study Cavitation in Multiple-Network Elastomers | Sanoja, Gabriel; Morelle, Xavier; Castagnet, Sylvie; Creton, Costantino | Using this tool, we demonstrate that cavity expansion is an irreversible fracture process that occurs via nucleation and propagation of randomly oriented penny-shape cracks. | Session 54: Polymeric Networks, Elastomers and Gels |

858 | 3D printable ultrasoft solvent-free elastomers | Nian, Shifeng; Zhu, Jinchang; Zhang, Haozhe; Gong, Zihao; Freychet, Guillaume; Zhernenkov, Mikhail; Xu, Baoxing; Cai, Liheng | Here, we report 3D printable ultrasoft elastomers by exploiting the self-assembly of a responsive bottlebrush-based triblock copolymer. | Session 54: Polymeric Networks, Elastomers and Gels |

859 | Network Analysis of Triblock Copolymer Gels via Quasi-Static Tensile Experiments | Mineart, Kenneth | Quasi-static tensile stress-strain data modeled using slip-tube network (STN) theory, on the other hand, enable modulus contributions from both the crosslinked network, Gc, and midblock entanglements, Ge, to be deciphered. | Session 54: Polymeric Networks, Elastomers and Gels |

860 | Reinforced elastomers for dynamic applications: from non-linearities to Physics understanding | Grimaldi d’Esdra, Gaétan; Montes, Hélène; Lequeux, François | We specially focused on thebehaviour of one bridge with stress-softening and strain hardening. | Session 54: Polymeric Networks, Elastomers and Gels |

861 | Predicting the flow of polymers under melt processing: from reaction kinetics to viscoelasticity | Zou, Weizhong; Tupper, Amber; Rebello, Nathan; Ranasinghe, Duminda; Green, William; Olsen, Bradley; Couch, Christopher | Using both computational chemistry and model compound studies, a mechanistic model for radical-mediated grafting of vinyl silane monomers by melt phase processing was developed. | Session 54: Polymeric Networks, Elastomers and Gels |

862 | Studying the Effect of Crosslinker Concentration on Structure, Dynamics, and Volume Phase Transition of Microgels. | Streletzky, Kiril; Scherer, Andrew; Tietjen, Samantha; Freeman, Krista | Studying the Effect of Crosslinker Concentration on Structure, Dynamics, and Volume Phase Transition of Microgels. | Session 54: Polymeric Networks, Elastomers and Gels |

863 | Theory of Side-chain Liquid Crystal Elastomers | Liu, Luofu; Wang, Rui | Here, we develop a self-consistent field theory of side-chain liquid crystal elastomers by combining the affine network theory for polymer networks and freely-jointed chain model for liquid crystal polymers. | Session 54: Polymeric Networks, Elastomers and Gels |

864 | Influence of Local Environment on Water Properties Within Physically Crosslinked Amphiphilic Copolymer Hydrogels | Sepulveda-Medina, Pablo; Vogt, Bryan | Influence of Local Environment on Water Properties Within Physically Crosslinked Amphiphilic Copolymer Hydrogels | Session 54: Polymeric Networks, Elastomers and Gels |

865 | Dynamics of Anisotropic Nanoparticles Within Model Homogenous Hydrogels | Rose, Katie; Gotogsi, Natalie; Galarraga, Jonathan; Burdick, Jason; Murray, Christopher; Lee, Daeyeon; Composto, Russell | In this study, the diameter of the rods is comparable to the final mesh size, but the lengths of the rods are larger than the final mesh size. | Session 54: Polymeric Networks, Elastomers and Gels |

866 | Analysis of the Gel Point of Polymer Model Networks by Computer Simulations | Lang, Michael; Müller, Toni | Analysis of the Gel Point of Polymer Model Networks by Computer Simulations | Session 54: Polymeric Networks, Elastomers and Gels |

867 | Capturing the transient microstructure of poly(styrene)-poly(isoprene)-poly(styrene) gel subjected to temperature and large deformations | Badani Prado, Rosa Maria; Mishra, Satish; Burghardt, Wesley; Kundu, Santanu | We present the real-time change in the microstructure of 10 and 20% (w/w) of poly(styrene)-poly(isoprene)-poly(styrene) [PS-PI-PS] gel in mineral oil, captured using small-angle X-ray scattering experiments and compared with shear rheology experiments. | Session 54: Polymeric Networks, Elastomers and Gels |

868 | Capillary-driven indentation of a small particle into a soft, oil-coated surface | Glover, Justin; Pham, Jonathan | A simple model that balances the capillary force of the oil layer with the elastic and surface forces from the substrate is proposed to predict the position of the particle. | Session 55: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

869 | Lubricated hydrodynamic interactions between a hard spherical indenter and a poroelastic nanolayer | Kopecz-Muller, Caroline; Bertin, Vincent; Abdorahim, Marjan; Tran, Yvette; Tabeling, Patrick; Raphael, Elie; McGraw, Joshua; Salez, Thomas | Here, we establish theoretical models and perform numerical simulations for the particle motion. | Session 55: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

870 | Relaxation and Recovery in Hydrogel Friction on Smooth Surfaces | Burton, Justin | Here we examine this regime in closer detail for PAA hydrogels. | Session 55: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

871 | Elastohydrodynamic interactions between a spherical particle and a soft boundary. | Bertin, Vincent; Zhang, Zaicheng; Arshad, Muhammad; Maali, Abdelhamid; Raphael, Elie; Salez, Thomas | In particular, we present experimental measurements at the nanoscale of the elastohydrodynamic lift force, using an Atomic Force Microscope in quantitative agreement with the derived asymptotic theory. | Session 55: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

872 | How osmotic pressure governs surface structures and sliding friction on swollen crosslinked hydrogels | Johnson, Christopher; Reale, Erik; Dunn, Alison | Here I present two vignettes illustrating this connection. | Session 55: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

873 | The slippery slope of frictional layered structures | Poincloux, Samuel; De Geus, Tom; Wyart, Matthieu; Reis, Pedro | Specifically, we investigate a system of stacked plates with frictional interfaces forced to slide simultaneously. | Session 55: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

874 | Soft and rough: Tribology of naturally and artificially rough hydrogels | Rudge, Raisa; Scholten, Elke; Dijksman, Joshua | We use a 3D-printed tribometer and measure the friction coefficient of 4 hydrogels: polyacrylamide, physically and chemically cross-linked gelatin, and agar. | Session 55: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

875 | Formation of Pickering Emulsions Using Nanodiamonds | Farias, Barbara; Jani, Pallav; 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 55: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

876 | Dynamics of Confined Microgel Liquids between Compliant 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 55: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

877 | Influence of bending patterns on soft tribology | Serfass, Christopher; Peng, Yunhu; Hsiao, Lilian | To explain this phenomenon, we employ cantilever beam theory and empirical statistical regression. | Session 55: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

878 | Viscoelastic Lubrication of Model Emulsions in Shear-Thinning Matrix | Lim, Ming Yao; Xu, Yuan; Shewan, Heather; Stokes, Jason | We studied soft lubrication of model emulsions with oil droplets dispersed in non-Newtonian hydrocolloid solutions designed to be iso-viscous at low- and high-shear rates respectively. | Session 55: Polymers and Soft Solids at Interfaces: Tribology, Wear, Rheology and Interactions |

879 | Building a Physical Learning Network | Dillavou, Sam; Stern, Menachem; Liu, Andrea; Durian, Douglas | Here we build a physical system – an electrical network of variable resistors – capable of learning a range of tasks: a physical learning network. | Session 56: Programmable Matter |

880 | Generating allosteric response by in-situ pruning of disordered networks | Pashine, Nidhi; Nagel, Sidney | By measuring the stresses in the bonds under various applied strains, we can identify which ones to prune in order to achieve a specific desired response. | Session 56: Programmable Matter |

881 | Branching out into computation: using singularities to design mechanical logic* | Berry, Michelle; Limberg, David; Kim, Yong-Jae; Hayward, Ryan; Santangelo, Christian | To better understand the role of the finite elasticity seen in our experimental logic gates, we introduce simple computational models to capture experiments and explore their effect on the functionality of mechanical logic. | Session 56: Programmable Matter |

882 | Smooth triaxial weaving with naturally curved ribbons | Baek, Changyeob; Martin, Alison; Chen, Tian; Poincloux, Samuel; Reis, Pedro | Here, we demonstrate smooth gradation of curvature in the woven structures by prescribing in-plane curvatures to the ribbons. | Session 56: Programmable Matter |

883 | DNA-Polylysine Complex Coacervates | Nguyen, Anna; Saleh, Omar | Here, we test the ability of a variety of nucleic acid structures to form coacervates by complexing with poly-l-lysine, and we show that more flexible nucleic acid structures are less prone to coacervation at higher salt conditions. | Session 56: Programmable Matter |

884 | From open to close-packed tilings and beyond – tuning the assemblies of patchy platelets with patch size and placement | Karner, Carina; Müller, Felix; Bianchi, Emanuela | In this computational work [1,2] we present how the interplay between the shape-anisotropy of the colloidal platelets and the placement of the patches on the platelet edge can yield surface tilings with tuneable properties, from close-packed to monolayers with pores of tuneable shapes and sizes. | Session 56: Programmable Matter |

885 | Multistable structures with collocated sensing and mechanologic | Arrieta, Andres; Udani, Janav | We present a class of multistable metastructures that display history-dependent deformation. | Session 56: Programmable Matter |

886 | Disordered topological mechanical metamaterials | Stanifer, Ethan; Mao, Xiaoming | In this talk, we will present our investigation on mechanisms for encoding topological material properties into disordered materials via asymmetrical material preparation. | Session 56: Programmable Matter |

887 | Propagation of Information through Origami Folding: A Graph-Theoretic Approach | Grasinger, Matthew; Yannie, Hannah; Gillman, Andrew; Buskohl, Philip | To identify the network embedding, we use numerical optimization and minimum energy path methods. | Session 56: Programmable Matter |

888 | Diverse actuation of light-responsive LCE’s | Waters, James; Balazs, Anna | We make use of a finite element model to capture the interplay of the time-varying light transmission through the material in conjunction with the illumination or shadowing of different areas of three-dimensional molded micro structures as they twist and bend. | Session 56: Programmable Matter |

889 | Active elastocapillarity | Binysh, Jack; Souslov, Anton; Wilks, Thomas | Here, we develop a continuum theory that describes an active surface wrapped around a passive soft solid. | Session 56: Programmable Matter |

890 | How to program the mechanics of frustrated and floppy metamaterials | Coulais, Corentin | In this talk, I will discuss two complementary routes to achieve programmable mechanical tasks: (i) in frustrated metamaterials: I will discuss how topological solitons can be manipulated to achieve non-abelian mechanics; (ii) in floppy metamaterials: I will discuss how dissipation and gain can be used to control deformation pathways. | Session 56: Programmable Matter |

891 | Bifurcation and Nonlinear Analysis of 3D Programmable Formations in Thermocapillary Modulated Nanofilms | Chang, Yi Hua; Troian, Sandra | Here we present a bifurcation and nonlinear analysis of thermocapillary modulated liquid nanofilms prone to an intrinsic 3D instability triggered by noise. | Session 56: Programmable Matter |

892 | Imaging the spatiotemporal heterogeneities of gelling nanoemulsions | Hsiao, Lilian; Smith, Kristine | We use a colloidal gel system of nanoemulsion droplets of poly(dimethylsiloxane) suspended in a continuous phase, comprised of a liquid precursor that contains poly(ethylene glycol diacrylate). | Session 57: Rheology of Gels |

893 | Shear-induced memory effect in boehmite gels | Sudreau, Iana; Manneville, Sebastien; Divoux, Thibaut; Servel, Marion | To understand the mechanisms by which the shear modifies the gel’s structure after flow cessation, we study the rheological properties of a boehmite gel depending on the value of the preshear rate. | Session 57: Rheology of Gels |

894 | Connecting the viscoelastic response of nanosheet gels to the elastic properties of the particles | Barwich, Sebastian; Mobius, Matthias | We present a new analytical model that explains this behaviour and connects the bulk response to the elastic properties of single nanosheets and their size. | Session 57: Rheology of Gels |

895 | Phase Behavior and Mechanics of Bridging Gels with pH-Tunable Attractions | Conrad, Jacinta; Gallegos, Mariah; Soetrisno, Diego; Park, Nayoung | We study the phase behavior and mechanics of a colloid-polymer model system with bridging attractions, in which the strength of the polymer adsorption can be tuned through the pH of the system. | Session 57: Rheology of Gels |

896 | Two modes of cluster dynamics govern the viscoelasticity of colloidal gels | Cho, Jae Hyung; Bischofberger, Irmgard | We study the thermal fluctuations of the clusters using differential dynamic microscopy by decomposing them into two modes of dynamics, and link them to the macroscopic viscoelasticity via rheometry. | Session 57: Rheology of Gels |

897 | Polymer microgels containing nanodiamonds: pH-dependent component interactions and rheology | Jani, Pallav; Farias, Barbara; Khan, Saad | Here, we investigate the pH-dependent interactions of microgels with carboxylated nanodiamonds (NDs), a relatively novel carbonaceous material, using rheology. | Session 57: Rheology of Gels |

898 | Microstructure and viscoelasticity of thermoreversible gels composed of anisotropic particles with short-range interactions | SUMAN, KHUSHBOO; Lee, Haesoo; Murphy, Ryan; Wagner, Norman | To quantify these effects, we study the temperature-induced state change of a colloidal anisotropic model system of octadecyl-coated silica rods with dimensions 30 – 300 nm, also termed as adhesive hard rods (AHR). | Session 57: Rheology of Gels |

899 | Isolating the yield stress in thixotropic fibrillar gels | Poling-Skutvik, Ryan; Osuji, Chinedum | Here we propose a rheological strategy to quantify the yield stress in thixotropic materials. | Session 57: Rheology of Gels |

900 | Study of lifetime of bonds and microstrucure of attractive gels at intermediate volume fractions | Nabizadeh, Mohammad; Jamali, Safa | By continuously tracking bonds, we present an analysis of their life and death mechanism. | Session 57: Rheology of Gels |

901 | Interplay between structure and mechanical performances of multi-component colloidal gels. | Bouzid, Mehdi; Ferreiro Cordova, Claudia; Del Gado, Emanuela; Foffi, Giuseppe | We present a detailed numerical study of composite colloidal gels obtained by arrested phase separation. | Session 57: Rheology of Gels |

902 | Linear viscoelastic spectra of soft particulate gels: master curve and physical origin of the fractal constitutive behavior | Bantawa, Minaspi; Keshavarz, Bavand; Geri, Michela; Bouzid, Mehdi; Divoux, Thibaut; McKinley, Gareth; Del Gado, Emanuela | We investigate the connection between the load-bearing network structure in soft particulate gels and their linear viscoelastic spectrum in a 3-D microscopic numerical model, using large scale simulations with Optimally Windowed Chirp (OWCh) signals. | Session 57: Rheology of Gels |

903 | The microstructure and rheology of a model, thermoreversible nanoparticle gel under steady shear and large amplitude oscillatory shear (LAOS) | Kim, Jung Min; Eberle, Aaron; Gurnon, A Kate; Porcar, Lionel; Wagner, Norman | The microstructure-rheology relationship for a model, thermoreversible nanoparticle gel is investigated using a new technique of time-resolved neutron scattering under steady and time-resolved large amplitude oscillatory shear (LAOS) flows. | Session 57: Rheology of Gels |

904 | Direct confocal imaging of fracture precursors in casein gel | SINGH, Akash; Tateno, Michio; Simon, Gilles; Vanel, Loic; leocmach, Mathieu | For this, we have designed our own setup which is based on the principle of measuring the deflection of a cantilever. | Session 57: Rheology of Gels |

905 | Reduced-Order Modeling Of Compartmental Metapopulation Models in Epidemiology | Carlisle, Cordelia; Murillo, Michael; Stanton, Liam | We present a reduced-order model for a single MP to act as a framework for capturing the contributions from exterior MPs through an effective “force of infection”, which encapsulates the necessary boundary conditions to accurately model a given MP while obviating a full simulation of the system. | Session 58: Statistical Mechanics of Disease Propagation |

906 | Epidemiological model for the inhomogeneous spatial spreading of COVID-19 and other diseases | Tsori, Yoav; Granek, Rony | We suggest a novel mathematical framework for the inhomogeneous spatial spreading of an infectious disease in human population. | Session 58: Statistical Mechanics of Disease Propagation |

907 | Effects of social distancing and isolation modeled via dynamical density functional theory | te Vrugt, Michael; Bickmann, Jens; Wittkowski, Raphael | In this talk, we present an extended model for disease spread based on combining a susceptible-infected-recovered model with a dynamical density functional theory where social distancing and isolation of infected persons are explicitly taken into account [1]. | Session 58: Statistical Mechanics of Disease Propagation |

908 | Discontinuous transitions of social distancing. | Feigel, Alexander; Arazi, Roy | We present a model that predicts a series of discontinuous transitions in social distancing during a pandemic wave. | Session 58: Statistical Mechanics of Disease Propagation |

909 | Path-dependent course of epidemic: are two phases of quarantine better than one? | Khain, Evgeniy; Kogan, Oleg; Nimmagadda, Varun | We consider an SIR model on a network and follow the disease dynamics, modeling the phases of quarantine by changing the node degree distribution. | Session 58: Statistical Mechanics of Disease Propagation |

910 | Vector difference equations, substochastic matrices, and design of multi-networks to reduce spread of epidemics | Hastings, Harold; Young-Taft, Tai | We start with the SIR model (susceptible, infected, removed) on a network. | Session 58: Statistical Mechanics of Disease Propagation |

911 | Holographic Immunoassays: Battling COVID-19 with Soft Matter Physics | Snyder, Kaitlynn; Quddus, Rushna; Hollingsworth, Andrew; Kirshenbaum, Kent; Grier, David | This technique shows promise for detecting Antibody Deficiency Disorders and for the detection of antibodies for SARS COV-2 and other infections. | Session 58: Statistical Mechanics of Disease Propagation |

912 | Photothermal killing of mamillian cancer cells via non-ionizing radiation | Gabriele, Victoria; Mukherjee, Purna; Seyfried, Thomas; Naughton, Michael; Kempa, Krzysztof | In this work, we demonstrate methods for targeting and killing mammalian cancer cells with visible non-ionizing radiation. | Session 58: Statistical Mechanics of Disease Propagation |

913 | Large-scale agent-based epidemiological modeling | Germann, Timothy | By combining a stochastic agent-based model of disease spread among individuals at the local community level with detailed U.S. Census and Department of Transportation data on population demographics and mobility, we have extended our “SPaSM” (Scalable Parallel Short-range Molecular dynamics) code into a powerful epidemiological modeling tool for studying the spatiotemporal dynamics of regional to national-scale outbreaks. | Session 58: Statistical Mechanics of Disease Propagation |

914 | Using Particle Diffusion to Study the Spread of Viral Infection | Acioli, Paulo | In this presentation we modify the initial program to include mitigation effects, such as social distancing and use of masks, as well as the effects of inter-city/neighborhood travel on the spread of the virus. | Session 58: Statistical Mechanics of Disease Propagation |

915 | A random walk model of social distancing to mitigate COVID-19 spread | Agarwala, Ronit; Bhattacharya, Aniket | We introduce a modified SIRD (Susceptible-Infected-Recovered-Deceased) model and study the impact of social distancing for interacting random walkers in two dimensional continuum using Monte Carlo methods. | Session 58: Statistical Mechanics of Disease Propagation |

916 | A random-walk based epidemiological model | Chu, Andrew; Huber, Greg; McGeever, Aaron; Veytsman, Boris; Yllanes, David | We have found that a simple random-walk system generates nontrivial dynamics compared with traditional well-mixed models. | Session 58: Statistical Mechanics of Disease Propagation |

917 | Superspreading of SARS-CoV-2 in the USA | Pozderac, Calvin; Skinner, Brian | Here, we present a simple method to estimate the variation in infectiousness by examining the variation in early-time growth rates of new cases among different subpopulations. | Session 58: Statistical Mechanics of Disease Propagation |

918 | Ranking non-pharmaceutical interventions for SARS-CoV-2 pandemic using Global Sensitivity Analysis | Hanthanan Arachchilage, Kalpana; Hussaini, Mohammed | In this study, we propose the Global Sensitivity Analysis (GSA) as a tool to rank these non-pharmaceutical interventions and provide a mathematical perspective of the impact of each of these interventions. | Session 58: Statistical Mechanics of Disease Propagation |

919 | Strategies for testing an infected population to mitigate the spread of a pandemic | Xia, Mingtao; Chou, Tom | Many mathematical models have been developed to simulate and predict the spread of the ongoing COVID-19 pandemic. | Session 58: Statistical Mechanics of Disease Propagation |

920 | Agent-based model (ABM) reveals the potential of virus-like particles as antiviral therapy | Capponi, Sara | We defined the rules of interactions between particles based on our previous theoretical studies and we found a complex interplay between the immune system, the DI and the viral particles modulating the spread of infection. | Session 58: Statistical Mechanics of Disease Propagation |

921 | Small-number effects and cooperativity enhance epidemic containment by regional measures | Bittihn, Philip; Hupe, Lukas; Isensee, Jonas; Golestanian, Ramin | We build a stochastic meta-population model using data on COVID-19 spread in Germany, Italy, England, New York State and Florida, including their respective regional structures and lockdown efficiencies. | Session 58: Statistical Mechanics of Disease Propagation |

922 | Exploring Network Communities with Random Walks | Ballal, Aditya; Kion-Crosby, Willow; Morozov, Alexandre | We propose a computationally efficient method, based on random walks, for community detection and clustering on undirected networks with weighted or unweighted edges. | Session 58: Statistical Mechanics of Disease Propagation |

923 | Estimating the epidemic growth rate and the reproductive number R0 of SARS-CoV-2 | Hengartner, Nick | Estimating the epidemic growth rate and the reproductive number R0 of SARS-CoV-2 | Session 58: Statistical Mechanics of Disease Propagation |

924 | Effect of the charge distribution of virus coat proteins on the length of packaged RNAs | Dong, Yinan | Using a mean-field theory, we show that the combined effect of genome configurational entropy and electrostatics can explain to some extent the amount of packaged RNA with mutant proteins where the location and number of charges on the tails are altered. | Session 58: Statistical Mechanics of Disease Propagation |

925 | COVID-19 Case and Fatality Data Analysis | Gutsche, Benedikt | In this talk the COVID-19 case and fatality counts from the John Hopkins University (JHU) and the European Center for Disease Control (ECDC) are compared for a selection of regions. | Session 58: Statistical Mechanics of Disease Propagation |

926 | Characteristic Excitations of Earth’s Carbon Cycle | Rothman, Daniel | This talk reviews a combination of empirical evidence and physical theory that suggests instead that many of these events are characteristic nonlinear responses of the Earth system to relatively minor perturbations. | Session 59: Statistical and Nonlinear Physics of Earth and Its Climate |

927 | "Excess" Semiannual Variation in Historic Temperature Records | Song, Yunxiang; Witten, Thomas; Lawlor, Kyle | A new analysis of historical weather station records in the United States determines persistent annual and semiannual variation with high precision. | Session 59: Statistical and Nonlinear Physics of Earth and Its Climate |

928 | Granular decoherence precedes failure of glacial ice mélange | Burton, Justin; Ryan, Cassotto; Mendez Harper, Joshua; Amundson, Jason; Fahnestock, Mark; Truffer, Martin; Guasch, Marc | In flowing granular materials, machine learning techniques and acoustic emissions analyses demonstrate precursors to failure; yet, real-time detection remains an elusive goal. | Session 59: Statistical and Nonlinear Physics of Earth and Its Climate |

929 | Impacts of surface melt and hydrology on Antarctic ice-shelf dynamics and break-up | Banwell, Alison | By focusing on a variety of field, remotely-sensed and modeling based case studies drawn from my research, I will present recent progress and future research directions in the rapidly growing field of Antarctic ice-shelf surface hydrology and stability. | Session 59: Statistical and Nonlinear Physics of Earth and Its Climate |

930 | Enhanced deep water acoustic range estimation based on ocean General Circulation Models | Weichman, Peter | I will describe efforts to test the limits of currently available GCM data to accurately estimate absolute range based on data collected during the PhilSea10 experiment using 510 km source-receiver separation. | Session 59: Statistical and Nonlinear Physics of Earth and Its Climate |

931 | Space and Ground-Based Decadal Trends of Nitrogen Oxides in Texas | Balch, William; Pappas, Christian; Geramifard, Arjang; Gyawali, Madhu; Lamsal, Lok; Gyawali, Bimal; Vieira, Chloe; Wright, Andre; Aryal, Rudra | This study presents a quantitative analysis of NO 2 levels over Texas, including the main shale regions and the major cities. | Session 59: Statistical and Nonlinear Physics of Earth and Its Climate |

932 | Melting and mixing at the ocean-glacier interface | Jackson, Rebecca | In this talk, I will present data collected near the terminus of LeConte Glacier, Alaska to probe the standard theory for plume-driven melt. | Session 59: Statistical and Nonlinear Physics of Earth and Its Climate |

933 | Banded Vegetation Patterns in Drylands: Modeling across timescales | Liu, Lily; Gandhi, Punit; Silber, Mary | We consider both temporally periodic and stochastic rain input within a conceptual fast-slow switching model that exploits the difference in timescales involved. | Session 59: Statistical and Nonlinear Physics of Earth and Its Climate |

934 | Statistical Mechanical Theory of the Thickness Distribution of Arctic Sea Ice | Toppaladoddi, Srikanth; Moon, Woosok; Wettlaufer, John | We extend the theory of sea-ice thickness distribution [Toppaladoddi and Wettlaufer, Phys. | Session 59: Statistical and Nonlinear Physics of Earth and Its Climate |

935 | Emergent colloidal currents generated via exchange dynamics in a broken dimer state | Massana Cid, Helena; Ortiz ambriz, Antonio; Tierno, Pietro | In this talk I will describe a general strategy to assemble and transport polarizable microparticles in fluid media through combination of confinement and magnetic dipolar interactions. | Session 60: Steerable Particles: New Ways to Manipulate Fluid-Mediated Forces |

936 | Microrollers maneuvering complex geometries | Blackwell, Brendan; Driscoll, Michelle | We study this problem experimentally using a system which consists of weakly magnetic colloids suspended in water, and driven by a rotating magnetic field. | Session 60: Steerable Particles: New Ways to Manipulate Fluid-Mediated Forces |

937 | Steering Active Colloids | Ebbens, Stephen; Kirvin, Alice; Archer, Richard; Gregory, David; Campbell, Andrew | Consequently a long held aim is to develop methods to harness this motion more effectively in order to steer the colloids towards particular targets. | Session 60: Steerable Particles: New Ways to Manipulate Fluid-Mediated Forces |

938 | Settling of shaped solids | Menon, Narayanan | Here I will present experimental and theoretical results that show qualitatively new behaviour when the particles have non-trivial shape and orientational degrees of freedom, as do snowflakes, plankton, crystals, and other natural sediment. | Session 60: Steerable Particles: New Ways to Manipulate Fluid-Mediated Forces |

939 | Analyzing the dynamics and structure of non-uniform spheroids in graviational sedimentation | Nissanka, Kavinda; Ma, Xiaolei; Burton, Justin | In a suspension of many particles, a linear stability analysis shows particles with a non-uniform mass density will self-organize into hyperuniform structures via an effective repulsive force (Goldfriend et al., Phys. | Session 60: Steerable Particles: New Ways to Manipulate Fluid-Mediated Forces |

940 | 3D printed viscotactic microswimmers | Ouhajji, Samia; Kraft, Daniela | We have started with the fabrication of trimers on the micrometre scale, the simplest form of a nonuniaxial body shape. | Session 60: Steerable Particles: New Ways to Manipulate Fluid-Mediated Forces |

941 | Low Reynolds number locomotion in truncated superparamagnetic membranes | Brisbois, Chase; Olvera De La Cruz, Monica | We show how the membrane actuation is controlled by dimensionless parameters that depend on the magnitude, angle and frequency of precessing magnetic fields to induce circumferential and radial membrane waves. | Session 60: Steerable Particles: New Ways to Manipulate Fluid-Mediated Forces |

942 | Steering toward the crowd: Orientational interactions induce active phase separation | Alert, Ricard; Zhang, Jie; Yan, Jing; Wingreen, Ned; Granick, Steve | In this talk, I will present a new mechanism for MIPS, which is based not on central forces but on torques. | Session 60: Steerable Particles: New Ways to Manipulate Fluid-Mediated Forces |

943 | Strategies for Steering Self-Propelled Active Particles | Das, Sambeeta | Here we will discuss two strategies of steering catalytic particles namely their interactions with boundaries and the use of external fields. | Session 60: Steerable Particles: New Ways to Manipulate Fluid-Mediated Forces |

944 | Simulations, experiments and applications with streaming lattices | Parthasarathy, Tejaswin; Bhosale, Yashraj; Vishwanathan, Giridar; Juarez, Gabriel; Gazzola, Mattia | Here, we present numerical predictions and experimental verifications of steady streaming realized in a periodic lattice of cylinders with alternating curvatures. | Session 60: Steerable Particles: New Ways to Manipulate Fluid-Mediated Forces |

945 | Capture of Capsular Bacteria from Flow via Polymer Depletion | Santore, Maria; Niu, Wuqi | We demonstrate here that E cells can be immobilized on otherwise non-adhesive surfaces through the introduction of a non-adsorbing polyethylene oxide polymer. | Session 60: Steerable Particles: New Ways to Manipulate Fluid-Mediated Forces |

946 | Thermodynamics of computation with chemical and electronic architectures | Esposito, Massimiliano | I will start by briely reviewing some general results on the fundamental limits and on the cost-speed-accuracy tradeoffs of computation. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

947 | Entropy production and thermodynamics of information under protocol constraints | Kolchinsky, Artemy; Wolpert, David | We investigate bounds on the entropy production (EP) and extractable work involved in transforming a system from some initial distribution p to some final distribution p′, given the driving protocol constraint that the dynamical generators belong to some fixed set. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

948 | Maximizing fluctuation exploitation in a simple information ratchet | Saha, Tushar; Lucero, Joseph Neil; Ehrich, Jannik; Sivak, David; Bechhoefer, John | We present an analagous Maxwell Demon system whereby a particle with mass can be lifted by a spring attached to a stage without direct effort by simply observing its motion as it bounces up and down. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

949 | Maximizing the performance of information engines | Saha, Tushar; Lucero, Joseph Neil; Ehrich, Jannik; Sivak, David; Bechhoefer, John | We introduce a “textbook” model of an information engine and experimentally study it. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

950 | Entropy production in isolated systems initialized with finite reservoirs | Ilic, Velimir; Korbel, Jan; Wolpert, David | A series of pioneering papers investigated the thermodynamics of isolated systems that are split into a “system of interest” and a “heat bath”, where those two subsystems are initially statistically independent, and the heat bath is initially coupled to an infinite external reservoir so that its initial distribution is Boltzmann [Jar 2000, E&L 2010, P&E 2019]. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

951 | Estimating entropy production by machine learning of short-time fluctuating currents | Otsubo, Shun; Ito, Sosuke; Dechant, Andreas; Sagawa, Takahiro | On the basis of the results, we develop an efficient estimation algorithm by combining the short-time TUR with machine learning techniques such as the gradient ascent. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

952 | Information efficiency of bacterial chemotaxis | Mattingly, Henry; Kamino, Keita; Machta, Benjamin; Emonet, Thierry | Past studies have used information theory to understand the maximum amount of information biological sensing systems can transmit, showing that in some cases they can approach the theoretical limits. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

953 | Functional Thermodynamics of Maxwellian Ratchets: Constructing and Deconstructing Patterns, Randomizing and Derandomizing Behaviors | Jurgens, Alexandra; Crutchfield, James | These methods accurately determine thermodynamic operating regime for finite-state Maxwellian demons with arbitrary numbers of states and transitions. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

954 | Use of Carnot’s Engine and Bernoulli’s Pump to identify efficiency of information processing for computing beyond Moore’s Law | Shankar, Sadasivan | In this paper, we illustrate a theretical framework that we have developed for extending Landauer-type formalism for elementary information processing to architectures and systems. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

955 | Nonequilibrium thermodynamics of circadian oscillations: Interplay between energy dissipation, robustness, and coherence | Behera, Agnish; Vaikuntanathan, Suriyanarayanan | Here we take a minimal model that includes biophysical mechanisms like differential affinity and ultrasensitivity and look at their contribution towards dissipation and generating oscillations that are robust. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

956 | Statistical inference of scale dependent biological activity using carbon nanotubes | Bacanu, Alexandru; Pelletier, James; Jung, Yoon; Fakhri, Nikta | Our analysis provides a general tool to characterize steady state nonequilibrium activity in high dimensional spaces. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

957 | A Phase Transition Between Random (Fragile) and Correlated (Robust) Phases of Input-Output Maps | Mohanty, Vaibhav; Louis, Ard | We present a generalized statistical physics model of discrete input-output maps arising from entropy maximization with a single constraint on the global robustness. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

958 | Entropic cost to accurately solve the boolean satisfiability problem using a stochastic discrete system. | Vroylandt, Hadrien; Greenberg, Jonah; Gingrich, Todd | I will present a set of results that connect the accuracy to the entropic cost of computation in stochastic processes. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

959 | Stochastic thermodynamics in uncertain environments | Korbel, Jan; Wolpert, David | We explore the thermodynamic implications of such uncertainty in the parameter vector. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

960 | Thermodynamic Uncertainty Relations for Multipartite Processes | Kardes, Gülce; Wolpert, David | Here we show how to extend the previously derived TURs to those scenarios by exploiting a recently introduced framework of the thermodynamics of interacting systems [arXiv: 2003.11144]. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

961 | Information Phase Transitions in Random Classical Circuits | Lyons, Anasuya; Choi, Soonwon; Altman, Ehud | In this work, we study a classical analogue of the phase transition by investigating random classical circuits interspersed by bit-erasure errors in one dimension. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

962 | A Stochastic Model for Logic Circuits | Gao, Chloe; Crooks, Gavin; Limmer, David | We introduce a minimal stochastic model for complementary logic gates built with field-effect transistors. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

963 | Finite-Time Landauer Principle | Proesmans, Karel; Ehrich, Jannik; Bechhoefer, John | We present a general framework for minimizing the average work required when full control of a system’s microstates is possible. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

964 | Stochastic Thermodynamics of Non-Linear Electronic Circuits: A Realistic Framework for Thermodynamics of Computation | Freitas, Jose; Delvenne, Jean-Charles; Esposito, Massimiliano | In this contribution we develop a formalism that allows us to construct thermodynamically consistent stochastic models of arbitrary circuits. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

965 | The bleary-eyed Maxwell demon: a mutual information-fueled colloidal engine | Paneru, Govind; Dutta, Sandipan; Sagawa, Takahiro; Tlusty, Tsvi; Pak, Hyuk Kyu | Here, by directly controlling and gauging the capacity of the demon’s detection channel, we extract the full mutual information-work performance curve for a cyclic colloidal engine operating in nonequilibrium steady-state and study the efficiency fluctuations. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

966 | The Energetic Cost of Different Biological Strategies to Transfer Information | Bryant, Samuel; Machta, Benjamin | Here we explore the energetic cost of sending a signal as a function of frequency and spatial separation between the sender and receiver in the context of these strategies, computing a lower bound on the energetic cost of sending a bit of information. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

967 | Density matrix formulation of dynamical systems | Das, Swetamber; Green, Jason | Here, we establish a density matrix formalism for this purpose that applies to classical dynamical systems and is analogous to the density matrix formulation of quantum mechanics. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

968 | Skewed Thermodynamic Geometry and Optimal Free Energy Estimation | Blaber, Steven; Sivak, David | We extend the thermodynamic-geometry framework to higher-order moments of energy dissipation, accounting for time-reversal asymmetry, which allows us to design protocols (dynamic variations of control parameters) that maximize the accuracy and precision of free energy estimators. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

969 | Thermodynamics of Non-Elementary Chemical Reaction Networks | Avanzini, Francesco; Falasco, Gianmaria; Esposito, Massimiliano | We develop a thermodynamic framework for closed and open chemical networks applicable to non-elementary reactions that do not need to obey mass action kinetics. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

970 | Irreversibility in biological active matter | Li, Junang; Horowitz, Jordan; Fakhri, Nikta | We use a lossless compression algorithm to quantify the information loss between forward and backward processes. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

971 | Information geometry of chemical thermodynamics | Yoshimura, Kohei; Ito, Sosuke | We introduce information geometry related to the Gibbs free energy of an ideal dilute solution, and discuss its thermodynamic interpretation. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

972 | Driven-dissipative dynamics of active cytoskeletal networks underlie near-critical energy fluctuations | Floyd, Carlos; Levine, Herbert; Jarzynski, Christopher; Papoian, Garegin | Here we use agent-based simulations with a computational routine for quantifying entropy production to show that cytoquakes’ origins lie in the inherent driven-dissipative dynamics of active cytoskeletal networks, similarly to models exhibiting self-organized criticality. | Session 61: Stochastic Thermodynamics of Biological and Artificial Information Processing – |

973 | The generalized capstan equation: contact mechanics between an elastic rod and a frictional rigid cylinder | Grandgeorge, Paul; Sano, Tomohiko; Reis, Pedro | In this talk, we present an enhanced capstan model based on Kirchhoff-rod theory, which considers both the thickness and elasticity of the sliding filament. | Session 62: Textiles and Topology: Filaments and Tangles |

974 | Packing Architecture and Mechanical Behaviors of Flexible Filaments Confined in Vesicles | Yi, Xin; Shi, Chao | Here we present our recent theoretical work on how packing architectures and mechanical behaviors of confined flexible nanofibers in vesicles are regulated by the the filament length and rigidities. | Session 62: Textiles and Topology: Filaments and Tangles |

975 | Time-dependent Knotting of Agitated Chains | Gendron, Ingrid; Savard, Katherine; Capaldi, Xavier; Capaldi, Luc; Liu, Zezhou; Zeng, Lili; Reisner, Walter | Here we present an experimental setup in which knot formation is driven by a tumbling motion along with a software interface to process complex knot data with high crossing numbers. | Session 62: Textiles and Topology: Filaments and Tangles |

976 | Bioinspired architected composites with enhanced energy absorption | Jiang, Huan; Chen, Yanyu | Inspired by the multiscale configuration of the microstructure of cork, here we create a new type of lightweight architected composite structure with a multilayered arrangement of hard brittle and soft flexible phases. | Session 62: Textiles and Topology: Filaments and Tangles |

977 | Percolation Threshold of Kinetoplast DNA Networks | Ragotskie, Joshua; Morrison, Nathaniel; Blair, Ryan; Klotz, Alexander | With this protocol we can study the mechanics of membranes with varied bending rigidity, and we observe that dynamics are slowed by link removal. | Session 62: Textiles and Topology: Filaments and Tangles |

978 | Emergent plasticity and hysteresis in disordered packings of filaments. | Weiner, Nichalas; Bhosale, Yashraj; King, Hunter; Gazzola, Mattia | Emergent plasticity and hysteresis in disordered packings of filaments. | Session 62: Textiles and Topology: Filaments and Tangles |

979 | Energy Harvesting in Soft Materials | Ghosh, Nilanjana; Paley, Derek | We use planar Discrete Elastic Rod theory combined with an equivalent circuit models of a piezoelectric device to describe energy generation during stretching and bending motion of a soft robotic appendage in a fluid. | Session 62: Textiles and Topology: Filaments and Tangles |

980 | Let me spin you a yarn: fiber geometry and the elasticity of twisted filaments | Atkinson, Daria; Santangelo, Christian; Grason, Gregory | Ordered ground states in filament bundles, however, are highly geometrically constrained, and we show that only two families of filament textures permit equidistance between the constituent filaments—the developable domains, which can bend, but not twist, and the helical domains, which can twist uniformly, but not bend. | Session 62: Textiles and Topology: Filaments and Tangles |

981 | Physical trefoil knots: elastic deformation and failure | Johanns, Paul; Grandgeorge, Paul; Sano, Tomohiko; Baek, Changyeob; Maddocks, John; Reis, Pedro | To understand the local geometry of this fundamental knot, we constructed both open and closed physical trefoil knots tied in an elastic rod. | Session 62: Textiles and Topology: Filaments and Tangles |

982 | Towards an understanding of the mechanical response of aramid fibers at the filament scale | Richard, Clotilde; Joannès, Sébastien; Marcellan, Alba | In this work, we developed multiaxial characterization techniques at the filament scale. | Session 62: Textiles and Topology: Filaments and Tangles |

983 | Mechanics-based simulation of textiles | Rycroft, Christopher; Ding, Xiaoxiao | Here, we develop a high-performance code for simulating textiles at the level of individual yarns. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

984 | Linked loops on a lattice: Formulating knitted fabric elasticity with coarse-grained curve mechanics | Dimitriyev, Michael; Singal, Krishma; Matsumoto, Elisabetta | We explore this relationship between microstructure and macroscopic response by coarse-graining the yarn-level mechanics. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

985 | Quantifying the Elastic Nature of Knitted Materials | Singal, Krishma; Dimitriyev, Michael; Matsumoto, Elisabetta | We characterize the non-affine deformation of the fabrics by tracking a 5 by 5 grid of points while undergoing deformation. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

986 | A formal language for describing knitted textiles using swatches | Markande, Shashank; Matsumoto, Elisabetta | We propose such a framework, where the alphabet is composed of irreducible swatches — knitable textile knots and links — that can be concatenated leading to higher order or compound swatches. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

987 | Leveraging Temporal Constraints for Simplified Knit Representation | Lin, Jenny; McCann, James | To address this, our work seeks to leverage the temporal constraint inherent in the knitting process. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

988 | Tensional twist-folding and scrolling of sheets | Chopin, Julien; Kudrolli, Arshad | We will present a tensional twist-folding model that quantitatively explains the morphologies observed and associated mechanical response and can serve as a guide for fabrication of yarns with precise control of crosssectional architecture. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

989 | Designing Knitted Fabrics with Programmable Properties | Ding, Xiaoxiao; Rycroft, Christopher | We use this framework to systematically explore how the macroscopic mechanical properties of knitted fabrics depend on the knit topology. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

990 | Improving Fit on Clothing using Bent Seams | Campbell, Lewis; Delp, Kelly; Matsumoto, Elisabetta | Here we study the way seams made from complicated curves can distribute curvature more evenly across the entire garment. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

991 | Cohesion of a bird nest. | Godefroy, Theo; Andrade-Silva, Ignacio; Pouliquen, Olivier; Marthelot, Joel | Here we study an assembly of monodisperse flexible fibers. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

992 | Every mechanism in 2d generates an exotic space of soft modes | Czajkowski, Michael; Rocklin, Zeb | We introduce an illustrative new class of general mechanisms in lattices of corner-sharing quadrilaterals and use them to show that these modes are governed by a single second-order nonlinear differential equation which guarantees mechanical compatibility. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

993 | Knit architectures for sensing and actuation | Sanchez, Vanessa; Wood, Robert | Here we explore a candidate structure to program fluidic actuation and a candidate structure to improve resistive strain sensing sensitivity, both using alternative knit stitches. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

994 | A soft adaptive gripper for extremely small or flexible objects | Ahn, Uhsang; Ku, Subyeong; Park, Yong-Lae; Kim, Ho-Young | Here we present a soft, pneumatically-actuated gripper that exploits the buckling effect of an elastic membrane to either engulf sub-millimetric objects or pinch and separate flexible sheets from a stack. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

995 | Dual curvature control using pneumatic actuators | Jeong, Han Bi; Kim, Cheong San; Ha, Jonghyun; Lee, Seungjoo; Lee, Anna; Kim, Ho-Young | Here, we present a novel design strategy of Pneu-Nets to achieve complex forms (dual curvature) from a single channel with a single compartment. | Session 63: Textiles and topology: Sheets, Entanglement and Elasticity |

996 | Complex networks with complex nodes | D’Souza, Raissa | The statistical physics perspective has provided a wealth of understanding about the structure and function of massive networks including phase transition behaviors, non-trivial network structures such as modularity and heterogeneous degree distributions, and the analysis of the dynamics unfolding on networks. | Session 64: The Statistical Physics of Real-world Networks |

997 | Construction, Filtration and Dynamics of Functional Brain Networks | Gili, Tommaso | In this presentation I will show the state-of-the-art of graph embedding in human neuroscience and the fundamental role of the functional topology in its emergent dynamics. | Session 64: The Statistical Physics of Real-world Networks |

998 | Structure, phase transitions, and message passing in sparse networks | Newman, Mark | This talk will introduce the message passing method through a series of examples and illustrate how the method can be used for a wide range of calculations of network structure and function. | Session 64: The Statistical Physics of Real-world Networks |

999 | Percolation in real interdependent networks | Radicchi, Filippo | In this talk, I will consider three different variants of percolation models that provide different insights on the robustness of real-world interdependent networks. | Session 64: The Statistical Physics of Real-world Networks |

1000 | Statistical Physics of Twitter users’ interactions | SARACCO, Fabio | In 1957 Jaynes proposed an Information Theory approach to derive the statistical ensembles of Statistical Mechanics [1]: the maximisation of the Shannon entropy, after constraining the energy of the system returns exactly the probability distributions of the canonical ensemble. | Session 64: The Statistical Physics of Real-world Networks |

1001 | An effective one dimensional approach to calculating mean first passage time in multi-dimensional potentials | Gray, Thomas; Yong, Ee Hou | Our model offers better agreement with Brownian dynamics simulations than Langer’s formula, though discrepancies arise when the potential becomes less confining along the direction of escape. | Session 65: Trapping, Escape, Dissipation and Transitions |

1002 | Fractional Brownian Motion in Confined Geometries | Halladay, Samuel; Vojta, Thomas | We confirm this prediction by performing large-scale numerical simulations of reflected FBM in confined geometries of one, two, and three dimensions. | Session 65: Trapping, Escape, Dissipation and Transitions |

1003 | Directed Percolation and Numerical Stability of Simulations of Digital MemComputing Machines | Zhang, Yuan-Hang; Di Ventra, Massimiliano | Using 3-SAT with planted solutions as an explicit example, we show that, despite the stiffness of these ODEs, our simulations are robust as long as the integration scheme preserves the critical points of the ODEs, and an "unsolvable-solvable transition" is observed when decreasing the integration time step Δt near a critical Δt c. To explain these results, we model the dynamical behavior of DMMs as a directed percolation of the state trajectory in the phase space in the presence of noise. | Session 65: Trapping, Escape, Dissipation and Transitions |

1004 | Dynamics of an impurity in a finite temperature Bose-Einstein condensate | Rønning, Jonas; Skaugen, Audun; Hernández-García, Emilio; López, Cristóbal; Angheluta, Luiza | In this talk we consider the dissipation mechanism and inertial effects of a 2D BEC at finite temperature in the present of an impurity. | Session 65: Trapping, Escape, Dissipation and Transitions |

1005 | Calculation of the configurational energy density of states for Li0.5La0.5TiO3 utilizing first principles optimizations and a new Wang and Landau algorithm variant. | Howard, Jason | In this work a new variant of the Wang and Landau algorithm for calculation of the configurational energy density of states is presented and applied to the 2d Ising model and to density functional theory simulations of the disordered solid state lithium ion conductor Li0.5La0.5TiO3. | Session 65: Trapping, Escape, Dissipation and Transitions |

1006 | Minimizing Losses in a Classical Nonlinear Oscillator | Gjonbalaj, Nik; Polkovnikov, Anatoli; Campbell, David | We focus on one such STA, counter-diabatic (CD) driving, and numerically compare its performance in both the quantum and classical versions of a quartic nonlinear oscillator. | Session 65: Trapping, Escape, Dissipation and Transitions |

1007 | Study of phase transitions in Ising systems by exact microcanonical analysis | Sitarachu, Kedkanok; Bachmann, Michael | In our study, we analyzed Ising chains, strips, and squares from the microcanonical perspective. | Session 65: Trapping, Escape, Dissipation and Transitions |

1008 | Predicting phase transitions in nonequilibrium systems | Zakine, Ruben; Brujic, Jasna; Vanden-Eijnden, Eric | Here, we will show how a deterministic numerical method based on large deviation theory allows us to infer the nontrivial phase diagrams of nonequilibrium systems that display metastability. | Session 65: Trapping, Escape, Dissipation and Transitions |

1009 | Activity-induced quantum phase transitions | Adachi, Kyosuke; Takasan, Kazuaki; Kawaguchi, Kyogo | In this talk, we propose a quantum model that undergoes activity-induced phase transitions [1]. | Session 65: Trapping, Escape, Dissipation and Transitions |

1010 | Nonlinear diffusion and hydrodynamic fluctuations in kinetically constrained models. | Raj, Abhishek; Oganesyan, Vadim; Gopalakrishnan, Sarang | We study particle diffusion in interacting lattice gas models with kinetic constraints chosen to enhance density dependence of the diffusion process. | Session 65: Trapping, Escape, Dissipation and Transitions |

1011 | Dynamics and escape of active particles in a harmonic trap | Bel, Golan; Wexler, Dan; Gov, Nir; Rasmussen, Kim | We study the dynamics of trapped, undersamped particles subjected to both thermal and active forces. | Session 65: Trapping, Escape, Dissipation and Transitions |

1012 | Comparisons of diagonal and off-diagonal Anderson localization using a random matrix model | Mafi, Arash; Timilsina, Sandesh | We conduct our extensive numerical analysis for both diagonal and off-diagonal disorder. | Session 65: Trapping, Escape, Dissipation and Transitions |

1013 | Study of localized modes in steelpans via a vector landscape function | Bryde, Petur; Mahadevan, L. | In our analysis, we use a new generalization of the localization landscape theory which can be used to predict localized modes in general shells. | Session 65: Trapping, Escape, Dissipation and Transitions |

1014 | Acoustic probes for plasticity in amorphous materials | Tanguy, Anne; Lund, Fernando; Gravouil, Anthony; GIORDANO, VALENTINA; Luo, Haoming; Desmarchelier, Paul | We will discuss in this talk the signature of plasticity in acoustic scattering in amorphous materials. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1015 | Atomic nonaffinity as structural indicator of protocol-dependent plasticity in amorphous solids | Xu, Bin; Falk, Michael; Patinet, Sylvain; Guan, Pengfei | Based on a perturbation analysis of the potential energy landscape, we derive a new structural indicator, termed the atomic nonaffinity, which qualifies the contribution of an individual atom to the total nonaffine modulus. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1016 | Understanding The Degree of Cluster Expansions | Barroso-Luque, Luis; Ceder, Gerbrand | Notable extensions to include multi-lattice systems, and the use of new regression techniques have established the CE as a standard method in the computational study of multicomponent crystals. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1017 | Random-field Ising model criticality in glass-forming liquids | Guiselin, Benjamin; Berthier, Ludovic; Tarjus, Gilles | Combining umbrella sampling techniques with an extensive finite-size scaling analysis, we demonstrate the existence of a first-order transition line and of a random-field Ising model critical point in the thermodynamic limit [2]. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1018 | Field-induced freezing in the unfrustrated Ising antiferromagnet | Iaizzi, Adam | We study instantaneous quenches from infinite temperature to well below Tc in the two-dimensional (2D) square lattice Ising antiferromagnet in the presence of a longitudinal external magnetic field. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1019 | A scaling law describes the spin-glass response in theory, experiments and simulations | Paga, Ilaria; Zhai, Qiang; Baity-Jesi, Marco; Calore, Enrico; Gil-Narvion, Jose Miguel; Gordillo-Guerrero, Antonio; Iñiguez, David; Maiorano, Andrea; Marinari, Enzo; Martin-Mayor, Victor; Moreno-Gordo, Javier; Muñoz-Sudupe, Antonio; Navarro, Denis; Orbach, Raymond; Parisi, Giorgio; Perez-Gaviro, Sergio; Ricci-Tersenghi, Federico; Ruiz-Lorenzo, Juan Jesús; Schifano, Sebastiano Fabio; Seoane, Beatriz; Tarancon, Alfonso; Tripiccione, Raffaele; Yllanes, David; Cruz, Andrés; Fernández, Luis Antonio | We introduced a scaling law that describes the system’s response over its entire natural range of variation. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1020 | Temperature Chaos does exists in non-equilibrium spin-glass dynamics. | Moreno-Gordo, Javier; Baity-Jesi, Marco; Calore, Enrico; Cruz, Andrés; Fernández, Luis Antonio; Gil-Narvion, Jose Miguel; Gonzalez-Adalid, Isidoro; Gordillo-Guerrero, Antonio; Iñiguez, David; Maiorano, Andrea; Marinari, Enzo; Martin-Mayor, Victor; Muñoz-Sudupe, Antonio; Navarro, Denis; Paga, Ilaria; Parisi, Giorgio; Perez-Gaviro, Sergio; Ricci-Tersenghi, Federico; Ruiz-Lorenzo, Juan Jesús; Schifano, Sebastiano Fabio; Seoane, Beatriz; Tarancon, Alfonso; Tripiccione, Raffaele; Yllanes, David | I shall argue that an effect that closely mimics Temperature Chaos is, indeed, present in the non-equilibrium dynamics of a spin glass. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1021 | Analysis of two-level systems and mechanical loss of amorphous coatings by non-cage-breaking and cage-breaking transitions | Jiang, Jun; Mishkin, Alec; Prasai, Kiran; Zhang, Rui; Bassiri, Riccardo; Fejer, Martin; Cheng, Hai-Ping | 129, 164507 (2008)], the TLSs we find for pure and doped tantala can be separated into two groups named non-cage-breaking transitions and cage-breaking transitions. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1022 | Transverse Collective Modes of Supercooled Liquids Obtained from Stress and Current Correlators | Fullmer, Alexander; Eapen, Jacob | In this work, we employ atomistic simulations on model glass forming liquids to investigate the shear stress correlations and the attendant relaxation behavior. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1023 | Understanding the boson peak in glasses and glassy polymers | Zaccone, Alessio | We will show, using numerical simulations on polymer systems and metallic glasses, and theoretical arguments, that the boson peak is instead strongly temperature-dependent provided that one correctly accounts for the role of temperature and instantaneous normal modes in molecular simulations of glasses. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1024 | Characterizing the structure of the disordered micellar regime of asymmetric diblock copolymers using simulations | Chawla, Anshul; Bates, Frank; Dorfman, Kevin; Morse, David | In this work, we perform molecular dynamics simulations of a coarse-grained model to study the disordered micellar state of asymmetric diblock copolymers with a minority block volume fraction of 0.125. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1025 | A method for the accurate determination of basins of attraction of jammed packings | Suryadevara, Praharsh; Martiniani, Stefano | We use this new scheme to produce accurate projections of basins of attraction of Hertzian particles in 2 dimensions. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1026 | The effect of different cooling rates on two-level system distributions | Mishkin, Alec; Jiang, Jun; Zhang, Rui; Prasai, Kiran; Bassiri, Riccardo; Fejer, Martin; Cheng, Hai-Ping | In this talk, I will present results from atomic simulations aimed to understand this observation. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1027 | Dynamical caging and activation in random Lorentz gas model | Biroli, Giulio; Charbonneau, Patrick; Felona, Giampaolo; Hu, Yi; Zamponi, Francesco | Mean-field theory predicts that a dynamical (or mode-coupling) transition leads to particle caging and hence glass formation. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1028 | Ab initio study of density-dependent structure of amorphous strontium titanate (a-SrTiO3) | Bhattarai, Bishal; Zhuravlev, Ivan; Medvedeva, Julia | In this talk, we present a thorough ab initio-based study of a-STO explaining the existing discrepancy in the Ti coordination while validating both experiments. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1029 | First Principles Model of Amorphous ALD Deposited Al2O3 | Harper, Angela; Morris, Andrew | Through the use of ab initio molecular dynamics (AIMD) we develop a model for a-Al 2O 3 which is verified experimentally by both X-ray Absorption Spectroscopy (XAS) and solid-state Nuclear Magnetic Resonance (NMR). | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1030 | Calculated Raman Spectra for LIGO’s Coating Amorphous Oxides | Zhang, Rui; Jiang, Jun; Mishkin, Alec; Yazback, Maher; Prasai, Kiran; Bassiri, Riccardo; Fejer, Martin; Cheng, Hai-Ping | We calculate Raman spectra from a density functional approach for several amorphous oxides that are candidate optical coating materials for gravitational wave detection interferometers. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1031 | Hydrogen doping is wide-bandgap amorphous In-Ga-O semiconductors | Medvedeva, Julia; Bhattarai, Bishal | Hydrogen doping is wide-bandgap amorphous In-Ga-O semiconductors | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1032 | The connection between the density of Two-level systems and density of Quasi-localised modes in glasses | JI, WENCHENG | In this work, I theoretically build up the relationship between $n_0$ and the density of QLMs based on the soft-potential model. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1033 | Multiscale Modeling of Plasticity in Amorphous Solids: Machine Learning Constitutive Response | Falk, Michael; Alix-Williams, Darius; Hinkle, Adam; Giovanis, Dimitrios; Kontolati, Katiana; Rycroft, Christopher; Shields, Michael | We aim to develop multiscale models of plastic flow and failure processes in amorphous solids, materials that exhibit a complete lack of crystalline order. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1034 | Using Machine Learning Approaches to Predict Atomic-Scale Glass Failure in Environmental Conditions | Lloyd, Victoria; Lu, Sarah; Peña, Jorge; Song, Ray; Wang, Cora; Hardin, Thomas; Percus, Allon; Wilson, Mark | This project aims to use a recurrent neural network with the long-short term memory mechanism to learn the dynamic processes behind fracture nucleation and predict likely locations of fracture nuclei. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1035 | Collective and finite-size effects on local yield distributions in mesoscopic models of amorphous plasticity | Korchinski, Daniel; Ruscher, Céline; Rottler, Joerg | We connect these regimes to finite-size effects originating in the mechanical noise and the drift velocity. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1036 | Characterizing the mechanical response of metallic glasses using spring network models | Nawano, Aya; Schroers, Jan; Shattuck, Mark; O’Hern, Corey | To analyze and interpret this data, we developed a spring network model, where springs can break and reform based on atomic rearrangements. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1037 | Modeling shear band formation in amorphous solids using a structuro-elasto-plasticity (StEP) model | Xiao, Hongyi; Zhang, Ge; Ivancic, Robert; Yang, Entao; Riggleman, Robert; Liu, Andrea; Durian, Douglas | In this study, a newly developed structuro-elasto-plasticity (StEP) model is used to capture the essential physics for brittle response. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1038 | Anderson transition in three-dimensional systems with non-Hermitian disorder | Huang, Yi; Shklovskii, Boris | We study the Anderson transition for three-dimensional (3D) N×N×N tightly bound cubic lattices where both real and imaginary parts of on-site energies are independent random variables distributed uniformly between -W/2 and W/2. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1039 | Comparison of computational methods for predicting plastic activity in amorphous materials | Richard, David; Ozawa, Misaki; Patinet, Sylvain; Stanifer, Ethan; Shang, Baoshuang; Ridout, Sean; Xu, Bin; Zhang, Ge; Morse, Peter; BARRAT, Jean-Louis; Berthier, Ludovic; Falk, Michael; Guan, Pengfei; Liu, Andrea; Martens, Kirsten; Sastry, Srikanth; Vandembroucq, Damien; lerner, edan; Manning, M Lisa | In this study, we investigate plasticity in a model glass former driven via Athermal Quasistatic Shear. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1040 | The encoding of rejuvenation and memory effects in hierarchical energy landscapes | Rahman, Mahajabin; Boettcher, Stefan | We introduce a toy model, the cluster model, developed based on the idea that aging is governed by record dynamics (RD)[1] in which rare events of record size allow a system to overcome energetic or entropic barriers, before reconfiguring into the next metastable state. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1041 | Structuro-elasto-plasticity (StEP) model for plasticity in disordered solids | Zhang, Ge; Xiao, Hongyi; Ivancic, Robert; Yang, Entao; Riggleman, Robert; Durian, Douglas; Liu, Andrea | A phenomenological model capable of capturing and predicting these behaviors from microscopic properties and interactions has long been sought. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1042 | Critical behaviors of Anderson transitions driven by non-Hermitian disorders | Luo, Xunlong; Ohtsuki, Tomi; Shindou, Ryuichi | Here, we report the universal critical behaviors of Anderson transitions driven by non-Hermitian disorders in three-dimensional (3D) Anderson model [2] and 3D U(1) model, that belong to 3D class AI† and 3D class A in the 38 classes respectively. | Session 66: Understanding Glasses and Disordered Matter Through Computational Models |

1043 | From dewetting to adhesion rupture – moving lines in dissipative, heterogeneous systems | Barthel, Etienne | 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 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1044 | Modeling Elastocapillary Adhesion of Compliant Gel Microspheres | Giso, Mathew; Lyons, Edgar; Headley, Joseph; Kuwaye, Emily; Jensen, Katharine; Atherton, Tim | To better understand this system, we have built on previous contact and capillary models to develop a formulation which includes elasticity, adhesion, and surface tension. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1045 | Elastocapillary Adhesion of Compliant Gel Microspheres | Headley, Joseph; Lyons, Edgar; Giso, Mathew; Kuwaye, Emily; Atherton, Tim; Jensen, Katharine | In this work, we investigate the adhesion between polydimethylsiloxane (PDMS) gel microspheres and rigid glass substrates. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1046 | Dynamic Measurements of Adhesive Contact with a Soft Gel | Patino, Nicholas; Kim, Hyeongjin; Duncan, Aidan; Jensen, Katharine | We use interference, brightfield, and confocal microscopy, respectively, to directly measure the 3D, time-dependent deformation of the gel surface from high-speed sub-micrometer deformations at the initiation of contact to longer-time structural equilibration on the scale of tens of micrometers. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1047 | Viscoelastic Patch De-adhesion from Wrinkling Surfaces as a Model of Realistic Thrombus Behavior | Nguyen, Nhung; Velankar, Sachin; Tzeng, Edith; Cerda, Enrique; Pocivavsek, Luka | Finite element and analytical models based on energy minimization are developed to undertake a parametric study with varying relaxation properties, adhesion energies, and loading rates to determine their correlations with critical delamination amplitudes. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1048 | Viscous peeling of a graphene sheet | Agrawal, Adyant; Gravelle, Simon; Kamal, Catherine; Botto, Lorenzo | To get insights into the process of liquid-phase exfoliation of graphite into graphene, we study numerically and theoretically the dynamics of a peeling front in a system of two adhered carbon nanosheets immersed in water. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1049 | Optical Characterization of Underwater Contact Mechanics | Sun, Mengyue; Kumar, Nityanshu; Dhinojwala, Ali; King, Hunter | Here, we present an FTIR-based imaging technique to spatially resolve and quantify the thickness of puddles formed between two solids in contact underwater. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1050 | Interfacial Interactions of Bioinspired Underwater Adhesives | Narayanan, Amal; Kaur, Sukhmanjot; Dhinojwala, Ali; Joy, Abraham | The presentation will introduce the need for underwater adhesives and our synthetic strategies to overcome the challenges in underwater adhesion. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1051 | "Detachment of an inclined micro-pillar from a dissimilar substrate" | KUMAR, NITISH; Khaderi, Syed Nizamuddin | The physical mechanisms that lead to this behavior have not been quantitively detailed yet, and this is the objective of our work. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1052 | Quantifying failure in geometrically confined adhesives by pressure-induced cavitation | Wahdat, Hares; Elzière, Paul; Srinivasan, Siddarth; Chan, Nicky; Crosby, Alfred | We combine experiments with finite element analysis to develop models relating the pressure response in acrylic adhesives and silicone elastomers to their quanitative bulk and interfacial properties, including the elastic modulus and the critical strain energy release rate. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1053 | Influence of wetting and adhesion on dynamic drying of a hydrogel disk | Louf, Jean-Francois; Browne, Christopher; Bhattacharjee, Tapomoy; Datta, Sujit | Here, we investigate how different boundary conditions can lead to different compacting patterns of the skeletal polymer network and subsequent different drying dynamics over time. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1054 | Elastocapillarity-induced adhesion switching in nanochannels | Ronceray, Nathan; Spina, Massimo; Chou, Vanessa Hui Yin; Garaj, Slaven | In this work, we took full advantage of the atomic smoothness, mechanical strength and flexibility of 2D multi-layered van der Waals materials to design switchable nanocontainers/nanochannels by reversibly controlling the interfacial adhesion through capillarity. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1055 | 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 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1056 | Do soft solids have strain-dependent surface tension? | Bain, Nicolas; Style, Robert; Dufresne, Eric | Here, we describe new experiments investigating possible strain-dependence of the surface tension of a soft solid, in the absence of potentially confounding geometric singularities. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1057 | Contact drawing of core-shell polymer fibers using an aqueous two-phase system | PALIT, SWOMITRA; Frampton, John; Kreplak, Laurent | Our study explores the contact drawing technique and a special class of water-in-water mixtures known as aqueous two-phase systems (ATPSs) to produce core-shell fibers. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1058 | Multiple drops interacting on swelling fibers | Van de Velde, Pierre; Duprat, Camille; Protière, Suzie | In this talk, I will show how the Plateau-Rayleigh instability can be affected by the swelling of the fiber. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1059 | Fluid separation and network deformation in wetting of soft and swollen elastomers | Cai, Zhuoyun; Skabeev, Artem; Morozova, Svetlana; Pham, Jonathan | We use confocal microscopy to visualize the crosslinked polymer and solvent separately at the wetting ridge. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1060 | Contact Angle Hysteresis from a thin film suspended on a liquid surface | Zhou, Nuoya; Kumar, Deepak; Davidovitch, Benjamin; Menon, Narayanan | We introduce a new probe of contact angle hysteresis in a one-dimensional geometry, similar to a Wilhemy plate. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1061 | Unraveling stability of a floating liquid marble and its collapse patterns | Apoorva, Sneha Ravi; Dalvi, Sameer | Our aim was to analyze collapse dynamics of floating LMs, stability and resulting collapse patterns. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1062 | Curvature-dependent Contact Angles | Ma, Chen; Chen, Chao; Lv, Cunjing; Zheng, Quanshui | This work presents for the first time a molecular perspective of curvature effect on the contact angles. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1063 | Interfacial tension and wettability of water solution on hydrophilic and hydrophobic surfaces | Shen, Meng | Here, using atomistic and coarse-grained molecular dynamics simulations, we study the interfacial tension and wettability of water containing amphiphilic molecules, charged surfactants and active surfactants against hydrophilic and hydrophobic surfaces. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1064 | Discontinuous curvature in a thin-film profile near a three-phase contact line | Kumar, Deepak; Menon, Narayanan; Davidovitch, Benjamin | In this work, we address the nature of such a singular behavior when the solid phase is very stiff but also highly bendable. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1065 | Non-Sticking Polymeric Surfaces: Dynamics of Nano Structured Fluorinated Polymeric Thin Films | Perahia, Dvora; Senanayake, Manjula; Sinha, Sunil | Here we report Xray Photon Corelation Spectroscopy (XPCS) study of the interfacial dynamics of thin liquid films of semi-fluorinated polymer melts that consist of alternating fluorinated and protonated segments. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1066 | Anisotropic wetting on simple, flat surfaces | Smith-Mannschott, Katrina; Xu, Qin; Bain, Nicolas; Heyden, Stefanie; Dufresne, Eric; Style, Robert | We show that, surprisingly, even soft, flat surfaces exhibit anisotropic wetting – both in statics and dynamics. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1067 | A Computational Mesoscale Study of the Adhesion of Nanocarriers to Endothelial Cells | Akbari, Saeed; Khani, Shaghayegh; Maia, Joao | Herein, we present a computational analysis of nanocarrier adhesion to and absorption by endothelial cells through Dissipative Particle Dynamics simulations. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1068 | Surface textures suppress visco-elastic braking on soft substrates | Coux, Martin; Kolinski, John | We show that the superhydrophobic Cassie state, where a droplet is supported atop air-immersed textures, is preserved on soft textured substrates. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |

1069 | Wetting Driven Globule-to-Brush Transition of Polymer-grafted Surfaces | Etha, Sai; Desai, Parth Rakesh; Sachar, Harnoor; Das, Siddhartha | We employ Molecular Dynamics (MD) simulations to probe the spreading and imbibition of a liquid drop on a surface grafted by polymer molecules and observe their transition from an initially collapsed globule-like state, to a brush-like state upon wetting. | Session 67: Wetting and Adhesion of Soft Materials: Dynamics and Instability |