1229 papers
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.
Direct numerical simulations of plane Couette-Poiseuille flow near the transition to turbulence reveal that streak waviness acts as a quadratic function of roll amplitude when the latter is sufficiently large, thereby validating a critical component of Waleffe's self-sustaining process model.
This paper presents a first-principles simulation method that incorporates both droplet and bath deformation to accurately predict non-coalescing droplet rebounds at low Weber numbers, a capability validated by new experimental data.
This paper demonstrates that concentration fluctuations in free liquid diffusion exhibit non-vanishing skewness and non-Gaussian statistics due to nonlinear coupling with thermal velocity fluctuations, thereby challenging the central limit theorem predictions of macroscopic fluctuation theory.
This paper introduces the SHallow REcurrent Decoder (SHRED), a novel deep learning architecture that successfully reconstructs full-state subsurface turbulent flow fields from sparse surface height measurements or video footage, enabling robust inference up to two integral length scales deep using as few as three sensors.
This paper demonstrates that a reinforcement learning controller, trained on a data-driven reduced-order model (DManD) combining POD, autoencoders, and neural ODEs, successfully stabilizes high-Rayleigh-number Rayleigh-Bénard convection and reduces heat transfer by 16–23% when deployed in direct numerical simulations.
This paper presents a theoretical framework demonstrating that wall friction significantly alters the quasistatic mechanical response of confined poroelastic media by introducing hysteresis, slip fronts, and energy dissipation mechanisms that depend on whether the system is driven by piston loading or fluid pressure.
This paper derives refined hydrodynamic models for lipid bilayers that incorporate a scalar order parameter to account for molecular alignment, resulting in surface Landau–Helfrich and Beris–Edwards models for asymmetric and symmetric bilayers respectively, which generalize and provide an alternative derivation for existing surface Navier–Stokes–Helfrich models.
This paper presents a novel, fully geometric, and conservative 3D Volume-of-Fluid method that combines a modified advection scheme for mixed cells with a height-function-based contact angle imposition to accurately simulate moving contact lines with hysteresis on complex embedded boundaries while overcoming severe time-step limitations.
This paper presents a scalable, two-step framework that propagates chemical kinetics parameter uncertainties onto reduced manifolds to enable efficient, spatially resolved uncertainty quantification in high-fidelity reacting flow simulations, revealing significant variability in trajectory and equilibrium times driven by mixing and low-to-intermediate temperature chemistry.
This study combines experimental diagnostics and a validated coupled RANS-LES CFD framework to quantify how incident shock attenuation and boundary-layer interactions create significant axial and radial thermodynamic non-uniformities behind reflected shocks in single-diaphragm shock tubes, revealing that while argon maintains a relatively uniform core, nitrogen and carbon dioxide exhibit substantial gradients that impact chemical kinetic measurements.