967 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 of two-dimensional atomizing liquid jets reveals that the fractal dimension is not a single global exponent but a scale- and structure-dependent variable, where the measured dimension varies across different resolution scales and distinct interfacial components like the main jet body, ligaments, and droplets.
This study experimentally and theoretically demonstrates that the settling speed of Bravais lattice unit-cells follows a power-law relationship with solid fraction, where container wall effects significantly influence the observed exponent, but correcting for these walls reveals a universal scaling of 0.30 for unbounded domains.
Using high-resolution GPU-accelerated direct numerical simulations, this study reveals that supersonic turbulence undergoes a fundamental shift in energy cascade mechanisms, characterized by a transition from Kolmogorov-like to Burgers-like scaling in rotational energy spectra driven by dominant cross-scale energy transfer from solenoidal to compressive modes.
This study reveals that impulsive droplet detachment from a plucked wire is governed by an energetic balance where the mechanical work transmitted through the contact line drives rapid filament stretching, which is ultimately limited by viscous dissipation.
This paper experimentally demonstrates the controlled generation of type-II wave vortices around an oscillating subwavelength "island" using laboratory gravity-capillary waves, showing that the vortices' emergence and handedness can be precisely tuned by adjusting the relative phase between the dipolar source and an incident plane wave.
This study demonstrates that conditional denoising diffusion probabilistic models can effectively reconstruct high-resolution atmospheric boundary layer turbulent flow fields from coarse inputs, significantly reducing the computational cost of large eddy simulations for wind energy applications while maintaining physical accuracy within the training domain, though generalization to higher wind speeds remains a challenge.
This paper employs Liu's method of multipliers to derive thermodynamically consistent constitutive models for Korteweg fluids, successfully incorporating temperature-dependent capillary effects and cross-coupling between mechanical and thermal phenomena while establishing a generalized Gibbs relation.
This study develops a reinforcement learning control strategy using Proximal Policy Optimization to stabilize 3D liquid metal films on moving substrates by coordinating gas jets and electromagnetic actuators, which effectively reduce interface instabilities by pushing wave crests and raising troughs.
This study demonstrates that a reciprocally flapping swimmer achieves significant locomotion in cohesive granular hydrogels specifically when its flapping frequency matches the material's inverse relaxation time, a phenomenon driven by hysteresis in drag and propulsion forces caused by low-density zones and inertia, which results in motion opposite to that observed in cohesion-free granular media.
This paper introduces a predictive two-point statistical closure framework for turbulence formulated in physical space, which avoids Fourier transforms by using discrete evolution equations and EDQNM-inspired nonlinear closures to accurately model homogeneous isotropic turbulence while offering advantages for inhomogeneous and anisotropic flows where spectral methods are ill-conditioned.