1265 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.
This paper presents an analytical and numerical study of steady, advection-modulated gaseous diffusion through an orifice separating dissimilar gases, deriving mass transfer rates and required overpressure as functions of the Schmidt and Péclet numbers while accounting for the coupled effects of viscosity and density variations, with specific applications to hydrogen-air and hydrogen-water vapor mixtures.
This study numerically investigates rapidly rotating Rayleigh-Bénard convection on a tilted -plane, revealing that increasing colatitude transforms large-scale vortices into zonal flows, reduces global heat and momentum transport due to broken rotation symmetry, and maintains a persistent unstable mean temperature gradient through lateral thermal mixing.
This paper uses linear theory to demonstrate that constant vorticity in a periodic water wave significantly alters the behavior and spatial location of dynamic and hydrodynamic pressure extrema compared to irrotational flows, even though the general increase of hydrodynamic pressure with depth remains unchanged.
This paper introduces a novel explicit filter for Large-Eddy Simulations on general unstructured grids that combines face-averaging and recursive filtering with multi-objective optimization to overcome the spectral deficiencies of conventional filters on highly stretched meshes, thereby significantly improving prediction accuracy and stability in turbulent flow simulations.
This paper presents a simplified model derived from the Navier-Stokes equations that successfully reproduces complex transitional turbulence phenomena in planar shear flows, such as oblique turbulent bands and large-scale flows, while providing a theoretical framework for understanding their onset and orientation.
This paper demonstrates how combining Photon Doppler Velocimetry experiments with Radiative Transfer Equation simulations allows for the unprecedented recovery of particle size distributions in gas-constrained ejecta, transforming a velocity diagnostic into a comprehensive tool for characterizing complex ejecta transport.
This paper presents and validates an advanced nonlinear Kirchhoff rod model enhanced with a penalty-based barrier function for simulating mooring lines, demonstrating its accuracy against established solutions and revealing key dynamic behaviors such as frequency-dependent regime transitions and axial-bending coupling under various loading conditions.
This paper presents semi-analytical solutions for viscous Gubser flow with conserved charges to benchmark numerical fluid simulations, demonstrating excellent agreement between these solutions and the newly developed CCAKE Smoothed Particle Hydrodynamics code.
The paper proposes a Multi-stream Physics Hybrid Network that integrates parallel quantum and classical layers to decompose fluid dynamics solutions into frequency components, achieving significantly lower error rates and higher efficiency than classical models when solving the Navier-Stokes equations for Kovasznay flow.
This paper evaluates an a posteriori turbulence closure for a shell model that integrates physical equations into a neural network, finding that while it successfully reproduces high-order statistical moments, it fails to preserve scale invariance symmetries near the cutoff, revealing a fundamental limitation for subgrid-scale modeling.