General & Applied Physics · Physics & Astronomy
Fluid Dynamics
The newest papers in Fluid Dynamics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
101 papers, from 7 September 2026 to 5 November 2026: 101 arXiv preprints.
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Newest papers
A componentwise spherical Dirichlet-to-Neumann closure for finite-volume MHD at finite magnetic Reynolds number
At finite magnetic Reynolds number, the field induced by a moving conducting fluid or solid extends into open space, so a finite mesh needs an outer boundary condition that represents the decaying…Projection-based segregated, iterative, and multi-stage physics-informed neural network for incompressible Navier-stokes equations
Physics-informed neural networks(PINNs) offer a mesh-free and continuously differentiable approach to fluid simulation.Rigorously Certified Neural-Network Computation of Nonlinear Water Waves at Near-Machine Precision
We present a computational framework that combines machine-learning-based discovery with rigorous computer-assisted numerical certification and formal verification for strongly nonlinear partial…Extracting Single-Mode Rayleigh--Taylor Instability dynamics from data via SINDy
Rayleigh-Taylor instability (RTI) is of fundamental importance in fields such as inertial confinement fusion and supernova explosions, and its evolution is commonly described by potential--flow…Continuous Space-Time Finite Element Simulations for Biomedical Flows with Large Boundary Motion and Time-Periodicity
We present an axisymmetric continuous simplex space-time finite element method for incompressible fluid flow.A Study of Side Jet Interactions over a Hypersonic Cone Flow using Kinetic Methods
The interaction between the hypersonic flow over a cone and a side jet creates complex multiple recirculation regions as well as separation, reattachment and bow shocks known as Edney-Type IV…Hydrodynamic interaction in Lattice Fokker Planck for dilute polymer dynamics
We extend the BGK-type kinetic model for polymer dumbbells and its lattice Boltzmann implementation by incorporating hydrodynamic interaction (HI) effects to accurately recover the slow-variable…Discovering like a scientist: Literature-informed dimensionless learning for physical closure of data-driven equations
Data-driven methods can recover compact equations, yet the physical dependence of their coefficients across operating conditions often remains unresolved.The kinematic Kelvin-Helmholtz instability-driven dynamo: implications for merging compact objects
Binary neutron star (BNS) mergers excite a Kelvin--Helmholtz instability (KHI) in the shear layer between them.A coupled lattice Boltzmann model for pore-scale mushy-layer dynamics with application to sea ice
A pore-scale lattice Boltzmann model is developed for reactive transport in phase-changing porous media, coupling solute transport in the liquid with conjugate heat transfer across the solid and…Microdroplet Generator Surrogate Enhancement and Inverse Design Through an Uncertainty-Guided Framework
Microfluidic droplet generation is critical for many applications, yet efficient device design in high-dimensional parameter spaces remains computationally prohibitive due to complex multiphase flow…FlowReconBench: Accuracy, calibration and cost of learned and classical flow reconstruction from sparse sensors
Reconstructing full flow fields from sparse sensors requires prior assumptions about unmeasured regions and physical variables.Eddies that ride the flow: a model of turbulence with Richardson dispersion and anomalous dissipation
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…Improving the accuracy of the momentum-exchange method in lattice Boltzmann methods
In the lattice Boltzmann method (LBM), the momentum-exchange method (MEM) is widely used to evaluate hydrodynamic forces at fluid-solid interfaces due to its computational efficiency and geometric…The lattice Boltzmann machine
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.On flow unsteadiness in strongly separated high-speed ramp flows using kinetic and data-driven methods
The gas dynamics of high speed flows over several compression-expansion ramp geometries with large separation regions were investigated using a particle kinetic approach and data driven methods.Controls on the deformation and reorientation of mafic enclaves during magma mingling: A computational study
Mafic microgranular enclaves in granitic plutons record magma mingling, and their shapes are often interpreted as a record of the flow that deformed them.Readable Is Not Steerable: Pre-Registered Tests of Physical Structure in Learned Fluid Representations
Self-supervised world models are often said to organize their latents around physical quantities.Learning the Entropic Relaxation: Stable Coarse-Grid Emulation with Neural Discrete Equilibrium
The ability to emulate complicated and computationally-expensive physical systems in an efficient and stable manner is a popular motivation for scientific machine learning (SciML).Computational performance versus numerical accuracy in the acoustic terms of weakly-compressible SPH
Accurate computation of the acoustic terms in weakly-compressible SPH, including the equation of state, its inverse, and the evaluation of the local speed of sound, is essential to ensure energy…
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