Fluid Dynamics Papers of the Week

In this paper, a compact high-order gas-kinetic scheme (HGKS) is developed for compressible arbitrary Lagrangian-Eulerian (ALE) computations on three-dimensional unstructured meshes.

Here, we introduce \emph{odd capillarity}, a parity-breaking interfacial mechanical response, by incorporating a symmetric, nonvariational, parity-odd capillary stress into the Cahn--Hilliard--Navier--Stokes (CHNS) equations.

We present a geometric interface reconstruction method for Volume-of-Fluid (VOF) simulations that captures both curved interfaces and sharp features using only volume fraction data.

We present, to our knowledge, the first learned surrogates of three-dimensional resistive MHD turbulence, and compare three standard backbones in that role: a convolutional UNet, a shifted-window transformer and a Fourier neural operator.

We propose a minimum reporting standard for the preparation and associated speed measurements of catalytic Janus particles.

Specifically, we introduce the Alternative Local Dynamic Model with Kinetic energy equation (A-LDMK), an improved non-equilibrium one-equation mixed eddy-viscosity AD framework.

Here we show that a hierarchy of inertia, coupled by the purely geometric nonlinearity of rigid constraints, is enough.

Observing only 2 of 4 fields leaves the problem kinematically underconstrained, yet a latent model can reproduce structural similarities to the ground truth.

In this paper, we use the Neural Discrete Equilibrium (NeurDE) method to explore stable emulation at extremely coarse grids, demonstrating physically-principled control over entropy dynamics that reinforces the physical system's dissipative mechanism.

We assess the filter in two chaotic regimes of two-dimensional bulk convection by means of a scale-by-scale spectral analysis.

From the extracted Lagrangian kinematics, we construct a mixing model based on lamellar aggregation that well predicts the Eulerian scalar fields obtained from simulations.

We present an axisymmetric continuous simplex space-time finite element method for incompressible fluid flow.

In this work, we extend the hard constraint projection (HCP) method developed by Chen et al. [Journal of Computational Physics, 445, 110624, 2021] from a linear partial differential equation (PDE) to a nonlinear PDE: the 1D Burgers' equation.

The lattice Boltzmann (LB) method is widely regarded as a very flexible and efficient solver for a broad class of transport phenomena in fluids, soft matter and related fields. In this paper, we posit that such flexibility is a direct result of its generative nature as a rule-driven information-processing machine.

We introduce Orthogonal Projection in Invertible Nonlinear Embeddings (OPINE), which learns an invertible nonlinear change of coordinates and performs POD in the transformed coordinates.

We report point-by-point laser Doppler vibrometry on the reeds of six handmade hulusi, two each in the keys of F, B$\flat$ and C, measured at 29 points on every reed or tongue over nine fingerings and two supply pressures.

We construct a divergence-free velocity field $\mathbf{u}(\mathbf{x},t)$ on $\mathbb{T}^{n}$ that is a genuine function of position and carries both defining properties of turbulent transport: Richardson pair dispersion and a dissipative anomaly.

We use high-fidelity simulations to investigate flow, biofilm dynamics, and hydrogen transport in a rough fracture with reactive walls.

We investigate the instability of streaks induced by free-stream vortical disturbances in cooled-wall high-supersonic boundary layers.

This study utilizes reinforcement learning algorithms to develop advanced control strategies for manipulating synthetic jets positioned on a cylinder, aiming to achieve effective flow control.