1273 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 experimentally demonstrates that large-scale hydroelastic turbulent waves, initially in a state of statistical equilibrium, undergo free decay following a power-law energy dissipation driven by linear viscous damping, a theoretical prediction that aligns closely with experimental data across various initial conditions.
This study demonstrates through high-resolution numerical simulations that unsteady Taylor--vortex flow, a regime observed in laboratory experiments, acts as a physically motivated fast dynamo capable of exponentially amplifying magnetic fields at high magnetic Reynolds numbers by leveraging Lagrangian chaos and exhibiting a subharmonic spatio-temporal structure.
This paper presents and validates a robust recursive regularised lattice Boltzmann method for incompressible magnetohydrodynamics that utilizes a double-distribution formulation and fourth-order Hermite expansion to enhance numerical stability, reduce lattice-dependent artifacts, and eliminate the need for explicit velocity gradient calculations.
This paper presents a machine learning-assisted adjoint-based shape optimization framework that utilizes a Conditional Variational Autoencoder to surrogate a complex Voith Schneider Propeller, enabling efficient ship hull designs that achieve over an 8% resistance reduction while avoiding the prohibitive computational costs of full transient propulsion simulations.
This paper formulates and solves the brachistochrone problem for bodies moving through dense fluids by incorporating buoyancy, viscous drag, and added mass effects, revealing that the classical cycloid becomes suboptimal or unreachable as body density approaches fluid density and establishing a critical framework for planning short-range trajectories of buoyancy-driven underwater vehicles.
This study combines micro-CT and time-resolved X-ray radiography to reveal that needle-punch intensity enhances through-thickness liquid transport in nonwoven felts by creating preferential flow pathways, despite reducing single-phase permeability, thereby establishing a framework for optimizing liquid dynamics in opaque fibrous materials.
This paper establishes a three-dimensional dynamical-systems framework for passive gliding that identifies a terminal velocity manifold and a separatrix surface to explain how bio-inspired airfoils achieve robust, efficient glides across diverse initial conditions by partitioning phase space into distinct descent behaviors.
This paper presents a robust, parameter-free truncated-domain framework for electrohydrodynamic simulations of cone-jet flows that leverages inexpensive full-domain electrostatic data to impose accurate boundary conditions, thereby significantly reducing computational costs while maintaining high predictive accuracy without requiring empirical tuning.
This paper introduces a novel reconstruction framework featuring distance-based masking and adaptive alpha-shape methods to accurately recover physical boundaries from scattered 2D CFD data for CNN-ready grids, offering significant speedups, minimal tuning requirements, and a companion web application for end-to-end processing.
The paper introduces Uni-Flow, a unified autoregressive-diffusion framework that decouples temporal evolution from spatial refinement to enable faster-than-real-time, high-resolution modeling of complex multiscale flows across turbulent and physiological regimes.