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physics.flu-dyn

Fluid Dynamics

Turbulence, instabilities, incompressible/compressible flows, reacting flows. Aero/hydrodynamics, fluid-structure interactions, acoustics. Biological fluid dynamics, micro/nanofluidics, interfacial phenomena. Complex fluids, suspensions and granular flows, porous media flows. Geophysical flows, thermoconvective and stratified flows. Mathematical and computational methods for fluid dynamics, fluid flow models, experimental techniques.

Papers reviewed in the last 7 days lead, then the papers readers actually read. Ranking is not a quality score.

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Local entropic scheme recovers full anisotropic advection-diffusion

Tensorial flux relaxation and corrected stabilizer enable stable simulation of rotated tensors with contrasts up to 10,000:1.

· “Entropic lattice Boltzmann method for general anisotropic advection--diffusion”

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Nonlinear Schlieren maps steep liquid surfaces accurately

Telecentric optics and iterative solvers extend precise elevation measurements to high-slope and high-amplitude waves

· “Nonlinear synthetic Schlieren methods for free-surface topography measurement using telecentric imaging”

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Optimized designs lift heat exchanger performance by 22 percent

Calibrated low-fidelity Darcy model lets topology search find turbulent two-fluid exchangers with better heat transfer and controlled drag

· “Topology optimization of two-fluid turbulent heat exchangers: A Darcy flow-based multifidelity approach”

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Figure from the paper

Realistic flows weaken wave frequency spreading tenfold

Two-dimensional turbulent simulations cut diffusion rates by an order of magnitude versus synthetic flows and narrow the gap to three-D理论.

· “Frequency spreading of internal wave energy by balanced flows in two dimensions”

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Neural operator matches LES accuracy for wall turbulence

LESnets embeds large-eddy equations and wall law into a Fourier model to predict channel flows without any training data.

· “Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence”

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Embedded learner yields explicit SST turbulence correction

Trained on two separated flows, the expression reduces bubble overprediction and generalizes to periodic hills, cubes, and airfoils.

· “Field Inversion Symbolic Regression with Embedded Equation Learner for Interpretable Turbulence Model Correction”

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Deborah and Weissenberg numbers track different fluid effects

Unsteady planar flow and coaxial cylinder simulations show each number controls a different aspect of the elastic-viscous competition.

· “Elastic and Viscous Effects in Viscoelastic Flows: Elucidating the Distinct Roles of the Deborah and Weissenberg Numbers”

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LSTM memory enforces cross-field consistency in electrothermal flow

Depth-recursive mechanism cuts non-physical artifacts and beats baselines in four convective and drag regimes.

· “LSTM-PINN for Steady-State Electrothermal Transport: Preserving Multi-Field Consis tency in Strongly Coupled Heat and Fluid Flow”

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Neural net captures spontaneous cylinder vortex shedding without data

Pressure-Poisson objective plus strict equality constraints let a randomly initialized network reproduce periodic shedding in unsteady high-

· “Unsupervised simulation of incompressible flows with physics- and equality- constrained artificial neural networks”

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Jet-spacing study: MLPs for scalars

On a hydrogen jet in cross-flow, each surrogate's accuracy depends on whether the target is a number or a field.

· “Neural-Network and Reduced-order Modeling Workflows for AI-Driven CFD: Fast Response Surfaces, Reduced Dynamics and Jet in Cross-flow Examples”

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Weakly compressible subcycling beats capillary time-step limits

Incompressible solvers take 25-32x larger steps when cheap substeps supply accurate fluxes; speedups reach 8.6x.

· “Weakly Compressible Subcycling for Accelerating Simulations of Surface-Tension-Dominated Incompressible Two-Phase Flows”

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Passive perforated plates lift heat transfer over friction by 31%

Pore-resolving simulations show travelling waves in low-Reynolds laminar flow can break the usual heat-versus-drag trade-off.

· “Dissimilar heat transfer enhancement in spatially developing flow between parallel perforated plates by inducing a streamwise travelling-wave disturbance”

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Dual grids capture fish sounds while keeping flow grid small

The flow grid hugs the body while a separate acoustic grid reaches the far field, cutting cost and preserving radiation patterns.

· “Fully Parallel Dual-Grid Immersed-Boundary Framework for Flow-Induced Sound from Complex Moving and Deforming Bodies”

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DEIM sampling is the best reduced-model compromise for Carreau flows

Three reduced-order models for shear-thinning flows are compared; the DEIM version stays accurate while cutting online cost to milliseconds

· “Intrusive versus non-intrusive reduced-order modeling of generalized Newtonian fluid flows”

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Sharp interface method handles multicomponent phase-change mass transfer

One-sided species closures and a two-sided heat-flux jump give second-order fluxes and small conservation errors.

· “A Sharp and Conservative VOF Method for Multicomponent Liquid--Gas Mass Transfer: Bubble Dissolution and Droplet Evaporation”

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Two added energy terms reproduce melt recoil over a solidified splat

The added term acts at the melt–solid–gas triple line and lands the final splat diameter near the measured value.

· “An improved phase-field framework for simulating impacts of solidifying metal drops”

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A Maxwell-Demon feedback reads shear viscosity from a parabolic flow

Holding two halves of a fluid at opposite speeds gives ν = g_total w²/12u_p and a 1/√N route to the hydrodynamic limit.

· “Nonequilibrium Maxwell-Demon NEMD simulations of transport: I. Extrapolating shear viscosity to the hydrodynamic limit”

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Closed-form model captures compressible cylinder wake shocks

Refined potential flow theory yields fast qualitative wake, vortex-shedding, and shock predictions across Mach numbers.

· “Modeling the compressible flow field of an impulsively started circular cylinder with refined potential flow theory”

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Surrogate halves cost of catalytic hypersonic flow simulations

A reduced thermochemical model reproduces sharp catalytic-wall gradients within 1% error and stays stable in closed-loop.

· “Data-driven modeling of hypersonic flows in chemical non-equilibrium with catalytic surfaces”

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Merged elastic wakes redirect flow and bend cantilever arrays inward

Wake merger links local elastic wakes to array-scale bending; shear-thinning blocks it, with implications for cilia.

· “Elastic wakes mediate collective viscoelastic fluid-structure interactions in side-by-side cantilever arrays”

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Cascaded refinement beats one-shot super-resolution in 2D turbulence

Hierarchical forecast–analysis steps recover unresolved small-scale energy that single-pass generative models miss.

· “Iterative Refinement Diffusion for Super-Resolved Data Assimilation of Multiscale Physical Systems”

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Two modes predict the direction of square-duct secondary flow

A minimal Galerkin model with zero-mean forcing recovers the corner vortices seen in turbulent duct simulations.

· “Low-dimensional Galerkin projection models for predicting turbulent secondary mean flow in a square duct”

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Figure from the paper

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