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 uses lattice Boltzmann simulations to demonstrate that the spontaneous rotation and directed propulsion of elastic capsules in 2D active nematic fluids are governed by the interplay between capsule geometry, flexibility, and the dynamics of confined active topological defects.
Contrary to the expectation that solute dispersion would weaken diffusiophoretic effects, this study demonstrates that the resulting diffuse solute fronts actually enhance the cumulative removal of colloids from dead-end pores by extending the duration of phoretic forcing, thereby validating the relevance of this mechanism for large-scale applications like filtration and remediation.
This paper proposes a multiple-scales framework for a manta ray-inspired "ricochet" washing machine filter that uses branched channels to divert fluid while bouncing microplastics back to a main filter, deriving an effective boundary condition and particle trajectory model to predict device efficiency without requiring extensive numerical simulations.
This paper reports the first experimental observation of passive Richtmyer-Meshkov instability freeze-out in a low-pressure regime, where additively manufactured sub-surface voids convert a single shock into a sequence of weaker shocks to suppress instability growth by over 70% through temporal shaping, offering a driver-independent strategy for controlling hydrodynamic instabilities in inertial confinement fusion.
The paper introduces FluidFlow, a conditional flow-matching generative model that operates directly on unstructured CFD meshes to create scalable, high-fidelity fluid dynamics surrogates, outperforming traditional baselines in accuracy and generalization across complex 2D and 3D aerodynamic problems.
This study utilizes large eddy simulations to demonstrate that in high-Reynolds-number turbulent Taylor-Couette flows, singularities in the Navier-Stokes equation induce pulsed zero shear stress in the core region, which inhibits radial energy transfer and causes small-scale vortices to accumulate energy, thereby driving a prominent inverse energy cascade.
This experimental study demonstrates that streamwise streaks in underexpanded jets originate from minute geometric perturbations at the nozzle exit, with high-wavenumber artificial roughness significantly amplifying streak growth compared to low-wavenumber or naturally smooth surfaces.
This paper proposes and validates a universal scaling law linking the Nusselt and Bejan numbers in natural convection, demonstrating that a specific relationship between heat transfer and thermodynamic irreversibility holds independently of geometry and boundary conditions when transport is governed by a single control parameter.
This study investigates how increasing the particle volume fraction in non-Brownian particulate suspension droplets alters the critical flow rates for dripping-to-jetting transitions, induces a chaotic intermediate regime, widens the hysteresis loop, and reduces both droplet frequency and size distribution.
This paper presents a novel, efficient time-domain method for evaluating second-order hydrodynamic loads on floating structures in fully nonlinear waves by reformulating force components to account for total nonlinear body motion and velocity, thereby overcoming the limitations of traditional first-order assumptions and demonstrating significant improvements in predicting the motions of moored ships.