1169 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 a fully coupled boundary integral formulation and numerical methodology for modeling steadily propagating semi-infinite plane strain fractures in poroelastic media, which is systematically verified against analytical solutions to provide a robust tool for analyzing coupled fracture-fluid interactions.
This paper introduces IncompressibleNavierStokes.jl, an open-source Julia package that enables efficient, differentiable, and high-resolution simulation of incompressible turbulent flows on both CPUs and GPUs, facilitating the training of neural network closure models within large-eddy simulations.
This study develops a physics-based data-driven strategy using a modified fully connected neural network that integrates upstream velocity measurements with optimized pressure sensor data to accurately predict vortex-induced drag on a circular cylinder under non-uniform inflow conditions at a Reynolds number of 4000.
This experimental study investigates the dynamics of removing a passive tracer from a water-saturated porous plate via a gravity-driven liquid film, revealing a three-stage mass-transport process and analyzing how film characteristics, plate permeability, and tracer properties influence removal rates to optimize surface washing protocols.
This paper presents a parameter-free, closed-form extension of Yakhot's model that successfully describes second and third-order structure functions across the full range of turbulent scales, from the smallest dissipative regimes to the system scale, by integrating an empirically observed relation with Kolmogorov's four-fifth law.
This study utilizes three-dimensional numerical simulations to demonstrate that combining circular endwall holes with vertical-inclined leading-edge film cooling effectively reduces turbine blade temperatures and enhances flow stability within a hydrogen-fueled rotating detonation combustor-turbine system by leveraging the upstream detonation wave to facilitate downstream jet diffusion.
This paper presents a component-based reduced-order modeling (CBROM) framework that decomposes large-scale rocket engines into individual components trained on small-domain high-fidelity simulations and coupled via an adaptive MP-LSVT projection to enable accurate, efficient parametric predictions of combustion dynamics in multi-injector configurations.
This numerical study reveals that spherical particles in fluidized beds within narrow vertical pipes spontaneously settle along the walls to form hexagonal crystal-like or glass-like cylindrical shells, a process that is stabilized by high particle friction but disrupted by polydispersity, with the shell's structural integrity primarily sustained by dominant particle-particle contact forces.
This paper presents a hybrid data-driven method that utilizes DNS data and a sampling estimator to numerically solve dimensionally reduced, linear kinetic transport equations for one-point and two-point vorticity probability density functions in two-dimensional homogeneous isotropic turbulence.
This study introduces a scalable probabilistic workflow that integrates Bayesian correction and deep learning surrogates to bridge image-based fracture geometries with uncertainty-aware hydraulic predictions, effectively capturing the impact of aperture heterogeneity and 3D void complexity on transmissivity while avoiding the computational cost of repeated high-fidelity simulations.