1229 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 solution for the one-point distribution of a passive scalar in decaying homogeneous turbulence, revealing a unique geometric structure of expanding, quantized concentric shells governed by Euler totients that explains observed ramp-cliff patterns and offers a measurable statistical signature for scalar transport in regimes with negligible dissipation.
This paper investigates the dissipation measure in the inviscid limit of two-dimensional incompressible fluids, proving its absolute continuity with respect to defect and vorticity measures to establish new criteria for anomalous dissipation while analyzing quantitative rates and steady states.
This study investigates wall-normal velocity variance across various canonical wall-bounded turbulent flows, revealing that deviations from a universal constant are primarily driven by local shear stress variations and low-wavenumber "inactive" motions, while a semi-empirical fit successfully predicts variance trends that align with the attached eddy hypothesis in the high-Reynolds-number limit.
This paper demonstrates that dual-frequency oscillations of a cylinder generate asymmetric steady streaming with a net pumping flux, a phenomenon occurring at third order in amplitude that extends beyond the symmetric flows produced by single-frequency oscillations.
This study demonstrates that while spontaneous electrowetting from drop charge and surface charge effects both individually decrease contact angles on hydrophobic surfaces, these opposing mechanisms compensate for each other at the receding contact line, resulting in a negligible net change in the receding contact angle of sliding drops.
This paper investigates the hydrodynamic interactions between a wall and a two-dimensional Purcell three-link swimmer in a low Reynolds number regime, demonstrating that the system is controllable near parallel configurations and exhibits net displacement when tilted, using Resistive Force Theory and Geometric Control Theory.
This paper presents an optimization-embedded active multi-fidelity surrogate learning framework that significantly reduces high-fidelity CFD costs for multi-condition airfoil shape optimization by adaptively integrating low-fidelity XFOIL data with uncertainty-triggered RANS sampling and synchronized elitism, achieving substantial improvements in cruise efficiency and take-off lift while requiring high-fidelity evaluations for less than 15% of the population.
This paper uses scaling analysis and numerical simulations to demonstrate how the competition between bottom-driven convection and baroclinic eddies governs the persistence of upper-ocean stratification and vertical heat transport in icy moon oceans, ultimately proposing a scaling law for meridional buoyancy transport.
This paper presents a theoretical model for optimizing the retention and minimizing the drain of magnetic fluid in an ultrasonic non-destructive testing application by analyzing the fluid film profile and loss dynamics on a moving boundary under the influence of a magnetic field.
This paper introduces a fully local, adaptive repulsive flux within a conservative Allen-Cahn phase-field lattice Boltzmann model to effectively prevent spurious coalescence in multiphase flow simulations by dynamically adjusting interaction strength based on estimated local film thickness, thereby ensuring robust and physically consistent near-contact dynamics without sacrificing computational efficiency.