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 study investigates the formation of a cavity on a liquid interface struck by an oblique jet at angles below 50°, utilizing direct numerical simulations to reveal asymmetric flow detachment that creates a depression, and proposes a force-balancing model to predict the cavity's width.
This paper proposes a multi-stepsize mixture-of-experts neural operator built on an implicit factorized Transformer backbone to achieve stable, long-horizon autoregressive predictions of three-dimensional turbulence at fine temporal resolutions, effectively mitigating error accumulation and temporal redundancy while improving statistical agreement in both homogeneous isotropic and channel flows.
This paper proposes a dynamical systems theory that identifies a specific three-stage cascade of covariant Lyapunov vector behaviors preceding extreme events and critical transitions, enabling the development of precursors that predict these events with 100% precision and recall across various system dimensions.
This paper extends stochastic generative diffusion models to the joint generation of Lagrangian velocity trajectory pairs, successfully reproducing turbulent pair dispersion dynamics and deviations from Richardson's scaling law while preserving key single-particle statistics.
This paper introduces Topological Flow Data Analysis (TFDA), a graph-based method that converts two-dimensional transient flow patterns into discrete dynamical systems to effectively characterize complex fluid behaviors, such as periodic-to-chaotic transitions and energy-enstrophy relationships, in lid-driven cavity flows.
This study employs high-resolution numerical simulations to investigate how natural convection and rotation interact to influence solute dissolution, flow regimes, and mixing in a rotating horizontal cylinder, revealing that the interface's symmetry breaking is governed by the ratio of the Rayleigh number to the square of the rotation frequency.
This paper presents a novel semi-analytical derivation of parameters for Leith, Smagorinsky, and Jansen-Held closures in 2D geophysical turbulence, which, when applied to large-eddy simulations, accurately reproduce key DNS statistics and extreme events while outperforming existing dynamic and standard baseline models.
This study reveals that insoluble surfactants increase the size of jet drops formed by small bubbles lacking precursor capillary waves due to Marangoni stresses, a finding that contradicts the typical size-reduction trend observed in larger bubbles and has significant implications for understanding aerosol distributions in contaminated environments.
This report investigates the stability and growth dynamics of thin fluid filaments in Hele-Shaw cells, revealing that filaments expand beyond a critical radius, eventually forming unstable "pinned circles" that exhibit finite-time blow-up due to mass shedding.
This study employs high-order numerical simulations to demonstrate that the deformation and mixing of a highly viscous miscible blob in porous media are non-ideally influenced by the Péclet number and log-mobility ratio due to initial curvature, revealing three distinct flow patterns and identifying optimal intermediate conditions for enhanced mixing with significant implications for industrial applications like oil recovery and CO₂ sequestration.