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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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Three sensors reconstruct a riser's full strain field

A neural operator learns the sensor locations that give the lowest forecast error on vortex-induced vibrations.

· “DeepVIVONet: Using deep neural operators to optimize sensor locations with application to vortex-induced vibrations”

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Figure from the paper

Curved-surface vortex detection frames the 2002 polar vortex split

New manifold version gives birth, death, and split dates and shows ozone-depleted air mixing poleward.

· “Geodesic vortex detection on curved surfaces: Analyzing the 2002 austral stratospheric polar vortex warming event”

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Figure from the paper

Two-soliton collisions betray the ZK equation

Inverse neural-net analysis exposes a temporary interaction; refitting the equation restores its conservation law.

· “Inelastic Scattering, Emergent Interactions of Solitons in the Zakharov-Kuznetsov Equation through Conservative and non-Conservative Physics-Informed Neural Networks”

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Figure from the paper

Wave-particle method cuts hypersonic re-entry cost by 57 percent

It splits molecules into colliding and free-traveling groups, covering rarefied to continuum regimes in one solver.

· “A simplified unified wave-particle method for diatomic gases with rotational and vibrational non-equilibrium”

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Figure from the paper

Sharp-interface FSI solver matches fine-grid results on coarse grids

A geometric volume-of-fluid method keeps interfaces sharp and stable, so 128x128 runs rival 1024x1024 diffusive solvers.

· “Monolithic framework to simulate fluid-structure interaction problems using geometric volume-of-fluid method”

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A new droplet model computes shapes on any rough surface

Surface tension and contact angle become two dials, letting rough leaves and patterned chips be simulated directly.

· “Computing sessile droplet shapes on arbitrary surfaces with a new pairwise force smoothed particle hydrodynamics model”

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Figure from the paper

Recover jet-cooling heat-transfer coefficients within 8 percent

The network uses only sparse in-solid temperature readings, so no fluid simulation is needed.

· “Physics-Informed Neural Networks for Estimating Convective Heat Transfer in Jet Impingement Cooling: A Comparison with Conjugate Heat Transfer Simulations”

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Figure from the paper

Species-resolved collisions change high-pressure evaporation

Neon's evaporation coefficient switches from nearly constant to pressure-dependent when each collision pair is treated separately.

· “A Multi-Species Enskog-Vlasov Solver to Determine Evaporation Coefficients of Fluids in High Pressure Environments”

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Figure from the paper

Point clouds capture pore-pressure feedback in dense collapse

A two-step coarse-graining strategy cuts grid-size dependence from dilute to dense particle-fluid systems.

· “Enhancing semi-resolved CFD-DEM for dilute to dense particle-fluid systems: A point cloud based, two-step mapping strategy via coarse graining”

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Figure from the paper

Internal waves add ocean energy but not drifter spreading

A simulation shows summer's wave-dominated spectrum hides a steeper balanced flow that actually governs pair dispersion.

· “Effects of high-frequency and balanced motions on Lagrangian pair dispersion at the ocean surface”

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Split-and-transfer PINNs capture multiple shock fronts one by one

Starting from the strongest jump, each retrained subdomain resolves the next discontinuity until all fronts are captured.

· “Solving Euler equations with Multiple Discontinuities via Separation-Transfer Physics-Informed Neural Networks”

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Figure from the paper

Simple co-kriging beats neural nets on a 20-run high-fidelity budget

Extreme cost imbalance allows only ~20 high-fidelity runs; Bayesian infill plus POD favors the simpler AR1 model.

· “Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance”

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Figure from the paper

Injected linear mode briefly drives near-wall streaks

The optimal wavelet pulse grows transient streaks in turbulent flow, but nonlinear decay starts sooner with stronger forcing.

· “Transient growth and nonlinear breakdown of wavelet-based resolvent modes in turbulent channel flow”

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Figure from the paper

RL holds airfoil lift at 1.62 where MPC fails

In a near-stall simulation, online RL tunes plasma actuators to 100 or 200 Hz and stabilizes lift; adaptive MPC stops at 1.60.

· “Model Predictive and Reinforcement Learning Methods for Active Flow Control of an Airfoil with Dual-point Excitation of Plasma Actuators”

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Figure from the paper

Digital twin of a PSA oxygen plant matches experiments

A 2D axisymmetric model with no fitted parameters reproduces pressure and purity, and finds the same optimal cycle timing as the pilot…

· “A simplified digital twin of a pressure swing adsorption plant for air separation”

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Figure from the paper

Three additive terms capture cylindrical Rayleigh-Taylor bubble growth

Model matches DNS for Atwood 0.1-0.9 and Mach 0.1-0.9, and separates convergent from divergent dynamics.

· “Nonlinear bubble behaviours of compressible Rayleigh-Taylor instability with isothermal stratification in cylindrical geometry”

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Figure from the paper

Mild-slope waves solved by a boundary-element kernel

It reproduces shoaling, diffraction, refraction and reflection on seabed slopes up to 1:3.

· “Boundary element formulation of the Mild-Slope Equation for harmonic water waves propagating over unidirectional variable bathymetries”

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Figure from the paper

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