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 chapter reviews recent Scientific Machine Learning (SciML) advances for modeling coupled fluid flow and transport, combining linear reduced-order and nonlinear neural network methods with high-performance computing strategies to create efficient surrogate models that significantly reduce the computational cost of simulating complex systems like turbidity currents and thermal convection.
This experimental study investigates hypersonic shock-wave/boundary-layer interactions on a 3D expansion-compression cone at Mach 5 and 8, revealing how varying Reynolds numbers alter separation dynamics and how strong relaminarization at Mach 8 fundamentally suppresses turbulence and modifies interaction behavior.
This study proposes a theoretical mechanism explaining shear-induced lateral migration of dielectric particles perpendicular to an electric field, demonstrating that shear flow breaks ionic concentration symmetry to drive migration via coupled electrophoretic and diffusiophoretic effects dependent on the zeta potential and Dukhin number.
This study extends linear stability analysis to partially miscible two-phase, two-component flow in porous media by deriving jump conditions for discontinuous eigenfunction derivatives and demonstrating that interphase mass transfer predominantly stabilizes viscous fingering instabilities by reducing viscosity contrast and altering shock properties, while revealing complex interactions between capillary forces and mechanical dispersion.
This paper investigates the restart mechanisms of wall-normal-velocity bursts in wall-bounded turbulence by combining a linearised Navier-Stokes framework with nonlinear forcing to identify minimal requirements for burst regeneration and demonstrate how nonlinearity facilitates this process by increasing linearly available energy through vortex breakup and merging.
This study utilizes direct numerical simulation data of a supersonic reacting shear layer to characterize planar Lagrangian transport and scalar-gradient organization by integrating finite-time Lyapunov exponent ridges with hyperbolic geodesic Lagrangian coherent structures, revealing how these finite-time stretching skeletons structure mixing and drive localized scalar enrichment and reaction intermediate responses.
This paper reformulates component-wise dimensionally reduced real Schur flows via mode-truncation and establishes a sharper proof of helicity conservation that eliminates the unnecessary requirement of local mass conservation, thereby extending the result to these reduced flows and the inviscid Burgers equation.
This paper presents a novel, lightweight numerical formulation based on the vorticity-stream vector approach and phase-field modeling to efficiently simulate incompressible viscous flows interacting with deformable bodies in three dimensions, successfully validating the method through vesicle and droplet dynamics in Newtonian flows.
This study demonstrates that while Physics-Informed Neural Networks (PINNs) offer high precision for specific cases, data-driven Deep Operator Networks (DeepONets) serve as a superior, generalizable surrogate model for Newtonian Couette flow with dynamic wall slip, delivering near-instantaneous inference and significant speedups over traditional numerical solvers.
This paper establishes the existence of global bifurcation branches of stratified Stokes waves with variable periods emerging from laminar flows in a two-dimensional channel, under fixed mass flux and Bernoulli constant conditions, for a newly defined class of density and Bernoulli functions that allow for non-unidirectional flows and arbitrary large periods.