989 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 investigates the nonlinear breakup dynamics of an active chiral fluid strip, demonstrating through analytical slender body theory and numerical simulations that its thickness vanishes as a power law in finite time, with results showing strong agreement with experimental observations.
This paper investigates third-order deep-water wave-induced drift using a reduced Hamiltonian formulation, revealing that while classical Stokes drift slightly misestimates particle motion, incorporating difference harmonic terms significantly improves agreement with nonlinear trajectory calculations across various sea states.
This paper investigates shear-driven wave generation in a two-fluid system with an exponential velocity profile, revealing a novel transition from Kelvin-Helmholtz to Holmboe and finally to Miles critical layer instabilities as the density ratio decreases, a finding validated by both linear theory and nonlinear simulations that demonstrate the first unified observation of all three canonical instabilities within a single background state.
Direct numerical simulations of plane Couette-Poiseuille flow near the transition to turbulence reveal that streak waviness acts as a quadratic function of roll amplitude when the latter is sufficiently large, thereby validating a critical component of Waleffe's self-sustaining process model.
This paper presents a first-principles simulation method that incorporates both droplet and bath deformation to accurately predict non-coalescing droplet rebounds at low Weber numbers, a capability validated by new experimental data.
This paper demonstrates that concentration fluctuations in free liquid diffusion exhibit non-vanishing skewness and non-Gaussian statistics due to nonlinear coupling with thermal velocity fluctuations, thereby challenging the central limit theorem predictions of macroscopic fluctuation theory.
This paper demonstrates that a reinforcement learning controller, trained on a data-driven reduced-order model (DManD) combining POD, autoencoders, and neural ODEs, successfully stabilizes high-Rayleigh-number Rayleigh-Bénard convection and reduces heat transfer by 16–23% when deployed in direct numerical simulations.
This paper reviews analytical methods for solving low-Reynolds-number wedge and corner flow problems using the Papkovich-Neuber representation and the Fourier-Kontorovich-Lebedev integral transform to characterize Stokeslet and rotlet solutions for applications in microfluidics and confined hydrodynamics.
This paper presents a dark fluid model described as a non-viscous, non-relativistic, rotating, and self-gravitating fluid with spherical symmetry and a polytropic equation of state, which is solved using a self-similar time-dependent ansatz to derive new solutions consistent with the Newtonian cosmological framework that can describe the transition from normal matter to dark energy on cosmological scales.
This study demonstrates that inverse energy cascades can emerge from dry fluid dynamics in rotating, stably stratified flows within anisotropic three-dimensional domains under planetary atmospheric conditions, suggesting a mechanism for intermediate-scale atmospheric self-organization.