1274 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 demonstrates through numerical simulations that the interaction between near-inertial waves and submesoscale currents at ocean fronts creates an asymmetry in vertical motion—driven by strong vertical shear—that enables net vertical transport of biogeochemical tracers.
Using structure-resolved direct numerical simulations, this study identifies two distinct wake regimes—weakly stratified and strongly stratified—revealing that deep-water offshore wind sites trigger large-scale internal waves that facilitate far-field energy propagation and explain previously enigmatic field observations.
This paper derives analytical solutions for the hydrodynamic flow fields and mobility tensors induced by localized torques in wedge-shaped geometries using the Fourier-Kontorovich-Lebedev transform, demonstrating that the broken spatial symmetry causes particles to undergo both rotational and translational motion.
This paper explores the catastrophic consequences of a world without viscosity, illustrating how the loss of fluid friction would dismantle essential systems ranging from mechanical engineering and aviation to biological life and planetary climates.
This paper demonstrates that the extended KdV-Whitham approximation and the slow space formulation of the eKdV equation serve as effective regularizations for modeling moderately nonlinear surface water waves, successfully mitigating the spurious resonant radiation issues found in the standard eKdV model while maintaining close agreement with the parent SSGGN system.
This paper presents a numerical method using Newton's method and Chebyshev spectral collocation to solve free boundary problems for floating drops, exploring how physical parameters influence the potential energy and non-uniqueness of symmetric and asymmetric equilibrium configurations in 2D and 3D.
This study validates an analytic momentum availability model using large-eddy simulation data and proposes an extension to its linearized version to improve accuracy in cases involving high atmospheric boundary-layer heights or strong Coriolis forcing.
This paper demonstrates that wind farm power fluctuations are driven by universal, nonlinear, and collective correlations—specifically a dynamical scaling transition and long-range non-Gaussian features—which amplify variability and intermittency in total power output.
The paper proposes PEST, a Physics-Enhanced Swin Transformer that utilizes window-based self-attention, a frequency-domain adaptive loss, and Navier–Stokes constraints to achieve accurate, physically consistent, and computationally efficient 3D turbulence simulations.
This study investigates how the separation distance between two flaps in a dual-flap oscillating surge wave energy converter affects their individual performance and total annual energy production, finding that while wave frequency influences whether interactions are constructive or destructive, the overall impact on annual energy production is insignificant.