967 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 introduces a wetting boundary condition for curved solid surfaces in the color-gradient lattice Boltzmann method by updating order parameters on ghost nodes, a scheme validated on GPU hardware to effectively handle large density and viscosity contrasts while minimizing spurious currents and accurately reproducing both static and dynamic contact line behaviors.
This review explores the emerging interdisciplinary field of fluid-structure interaction enhanced by metamaterials, surveying theoretical frameworks and discussing how rationally designed composites can precisely control coupled fluidic, acoustic, and elastodynamic responses to improve performance in diverse technologies ranging from aerospace engineering to biomedical devices.
This study demonstrates that machine learning models trained on high-speed images of droplet pinch-off can accurately predict key fluid properties, such as viscosity and surface tension, offering a simplified and automated alternative to conventional measurement techniques.
This paper introduces a sparse-supervised hybrid parameterized Physics-Informed Neural Network framework that effectively solves incompressible Navier-Stokes flows across a range of Reynolds numbers by combining physics-only learning at low Reynolds numbers with minimal sparse CFD supervision and transfer learning to overcome accuracy limitations in convection-dominated high-Reynolds-number regimes.
This paper demonstrates that a stochastic Lorenz system serves as a faithful low-dimensional surrogate for mean-wind reversals in Rayleigh-Bénard convection by reproducing the multifractal statistics and non-Gaussian intermittency observed in both long-time numerical simulations and laboratory experiments.
This paper demonstrates that accurate macroscopic profiles in physics-informed neural networks for BGK normal shocks do not guarantee fourth-order closure accuracy due to weak observability of tail-weighted distribution functions, and proposes a shock-local closure correction that significantly reduces fourth-order errors by explicitly targeting these missing projections.
This paper, recognized with a 2025 APS DFD Gallery of Fluid Motion Award, investigates the coexistence of compressible and incompressible dynamics in jet coronation.
This paper reviews recent experiments demonstrating how tailored microfluidic channels enable precise rheological measurements of transported soft particles across various timescales and outlines future research directions, including the study of lubrication films, fast interfacial dynamics, and high-throughput characterization of microscopic soft matter systems.
This paper presents a computationally efficient reduced-order model that successfully captures the two-way coupling between gravity waves and wind farm wakes by linearizing the non-hydrostatic Boussinesq equations and coupling boundary-layer and free-atmosphere dynamics through a capping inversion, with validation against large-eddy simulations confirming its ability to reproduce key flow features like upstream blockage and accelerated wake recovery.
This paper presents a hybrid Volume-of-Fluid Phase-Field method with adaptive mesh refinement for direct numerical simulations of soluble surfactant-laden flows, which accurately captures the coupling between bulk and interfacial transport to demonstrate how Marangoni stresses significantly alter bubble rise dynamics in three-dimensional geometries.