1267 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 evaluates an a posteriori turbulence closure for a shell model that integrates physical equations into a neural network, finding that while it successfully reproduces high-order statistical moments, it fails to preserve scale invariance symmetries near the cutoff, revealing a fundamental limitation for subgrid-scale modeling.
This study introduces FlexPINN, an enhanced Physics-Informed Neural Network framework that successfully models fluid dynamics and mass transfer in 3D T-shaped micromixers with various fin geometries and configurations, achieving high accuracy compared to CFD while demonstrating superior mixing efficiency in specific double-unit setups at Reynolds number 40.
This study utilizes interferometric imaging to reveal that while a levitated hydrogel sphere initially exhibits the curvature inversion seen in Leidenfrost droplets, it rapidly transitions to a steady state without inversion, demonstrating that vaporization plays a critical role in shaping the sphere's underside through the interplay of vapor pressure and elastic forces.
This paper proposes a unified gas-kinetic framework that classifies molecules by their collision histories over an observation timescale to bridge molecular kinetics and continuum fluid dynamics, thereby recovering both the Boltzmann and Navier-Stokes equations as limiting cases and offering a new perspective on Hilbert's sixth problem.
This letter investigates the steady arrowhead structure in dilute polymer solutions by utilizing a moving reference frame and a novel stressline formulation to demonstrate how the curvature of viscoelastic stress sheets governs the local flow topology and explains the observed pressure jumps.
This study demonstrates that membrane permeability to fluid but not solutes introduces osmotic forces that restrict the existence of canonical membrane relaxation modes and the validity of equipartition-based fluctuation predictions to a finite range of wavenumbers, which shrinks and eventually vanishes as surface tension increases.
This paper presents an end-to-end framework that combines a differentiable non-Newtonian solver with a frame-invariant tensor basis neural network to learn form-agnostic constitutive models from partial flow measurements, enabling the discovery of interpretable, geometry-portable rheological laws through automated Bayesian model selection.
This study utilizes large-eddy simulations to characterize vortex breakdown topologies and dynamics in turbulent, non-reacting swirl combustor flows across varying vane angles, establishing critical swirl-number thresholds, optimal measurement locations, and a comprehensive topology map for predicting vortex breakdown states.
This study employs the pseudopotential multi-component lattice Boltzmann method to numerically investigate the coalescence dynamics of low-viscosity liquid lenses across a wide range of contact angles, revealing quantitative agreement with experiments for small angles, validating thin-sheet theoretical models up to approximately 40 degrees, and demonstrating that initial 3D bridge growth is independent of the equilibrium contact angle.
This paper reveals that in rotating turbulence, the sign-specific conservation of helicity in fast inertial waves drives an inverse energy transfer to large-scale 2D structures, while slower modes exchange helicity across signs to sustain a forward transfer, thereby unifying the understanding of bi-directional energy fluxes across all rotation rates.