physics.flu-dyn papers | Gist.Science

Fluid dynamics explores how liquids and gases move, shaping everything from weather patterns to the flow of blood through our veins. This field bridges the gap between abstract mathematical equations and the tangible forces that drive our physical world, offering insights into turbulence, aerodynamics, and fluid behavior in complex environments.

On Gist.Science, we process every new preprint in this category directly from arXiv to make cutting-edge research accessible to everyone. Each paper is transformed into a clear, plain-language overview alongside a detailed technical summary, ensuring both students and experts can grasp the latest findings without getting lost in dense jargon.

Below, you will find the most recent studies in fluid dynamics, curated and explained for a broader audience.

Study of the Effects of Artificial Dissipation and Other Numerical Parameters on Shock Wave Resolution

This study investigates how five different finite-difference schemes and mesh geometry affect shock wave resolution in two-dimensional supersonic inviscid flows, identifying that while various methods introduce non-physical perturbations, specific AUSM+ formulations combined with techniques like flux limiting and artificial dissipation offer superior robustness and accuracy validated against experimental data.

Frederico Bolsoni Oliveira, João Luiz F. Azevedo2026-02-13🔬 physics

Numerical Aspects of Gradient Reconstruction Schemes Applied to Complex Geometries

This study evaluates three gradient reconstruction schemes and various limiter functions within a cell-centered finite volume framework for solving compressible RANS equations on unstructured grids, demonstrating that sophisticated formulations are essential for stability and accuracy in complex geometries while a novel CFL-based convergence acceleration technique effectively drives residuals to machine zero.

Frederico Bolsoni Oliveira, João Luiz F. Azevedo2026-02-13🔬 physics

A Study of Improved Limiter Formulations for Second-Order Finite Volume Schemes Applied to Unstructured Grids

This study evaluates the performance of three limiter formulations (Venkatakrishnan, Wang's modification, and Nishikawa's R3) within a second-order finite volume scheme for simulating steady, turbulent transonic flows over a NACA 0012 airfoil, finding that all yield comparable results consistent with experimental data when their control constants are appropriately tuned, despite exhibiting different dissipative characteristics.

Frederico Bolsoni Oliveira, João Luiz F. Azevedo2026-02-13🔬 physics

The search for the gust-wing interaction "textbook"

This paper demonstrates that a small, strategically selected subset of experimental data—a "textbook"—derived from over 1,000 gust-wing interaction events can train machine learning models with accuracy comparable to much larger random datasets, thereby distilling essential physical information to enhance modeling efficiency and interpretability.

Paolo Olivucci, David E. Rival2026-02-13🔬 physics

On Capturing Laminar/Turbulent Regions Over a Wing Using WMLES

This study demonstrates that accurately capturing both laminar and turbulent regions over a wing using Wall-Modeled Large-Eddy Simulation (WMLES) requires a hybrid grid resolution strategy combined with the introduction of unsteady disturbances to trigger transition, as standard uniform grids fail to satisfy the conflicting near-wall resolution requirements of both flow regimes.

P. Balakumar, Prahladh S. Iyer2026-02-13🔬 physics

ArGEnT: Arbitrary Geometry-encoded Transformer for Operator Learning

This paper introduces ArGEnT, a Transformer-based architecture that encodes arbitrary geometries directly from point clouds to enhance DeepONet's ability to learn solution operators for complex physical systems without explicit geometric parametrization, thereby achieving superior generalization and accuracy across fluid dynamics, solid mechanics, and electrochemical applications.

Wenqian Chen, Yucheng Fu, Michael Penwarden, Pratanu Roy, Panos Stinis2026-02-13🤖 cs.AI

A Preliminary Assessment of Coding Agents for CFD Workflows

This paper evaluates the effectiveness of tool-using coding agents in automating OpenFOAM CFD workflows, demonstrating that prompt-guided configurations and advanced language models significantly improve task completion rates for both tutorial-based and complex geometry simulations.

Ke Xiao, Haoze Zhang, Yangchen Xu, Runze Mao, Han Li, Zhi X. Chen2026-02-13🔬 physics

Intricate Evaporation Dynamics in Different Multi-Droplet Configurations

This study experimentally demonstrates that multi-droplet arrays exhibit longer evaporation lifetimes than isolated droplets due to a vapor-shielding effect, a phenomenon that increases with droplet density but diminishes at higher temperatures due to natural convection.

Hari Govindha A., Saravanan Balusamy, Sayak Banerjee, Kirti Chandra Sahu2026-02-12🔬 physics

Self-similar Features in Secondary Breakup of a Droplet and Ligament Mediated Fragmentation under Extreme Conditions

This study demonstrates that catastrophic droplet breakup under extreme airflow speeds follows a self-similar mechanism characterized by multiscale deformation cascades, universal droplet size distributions, and scaling laws driven by local Weber numbers.

Saini Jatin Rao, Saptarshi Basu2026-02-12🔬 physics

The stability of propagating plane inertial waves in rotating fluids

This paper investigates the linear stability and nonlinear breakdown of propagating plane inertial waves in rotating fluids using Floquet theory and direct numerical simulations, revealing how wave amplitude and frequency influence the transition from instability to the formation of geostrophic modes or energy dissipation.

Valentin Skoutnev, Aurélie Astoul, Adrian J. Barker2026-02-12🔭 astro-ph

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