995 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 establishes the Cauchy number as a unifying dimensionless parameter that defines the transition between rigid and soft impact regimes in gas-liquid interfacial dynamics, demonstrating that a "partial impulse" framework accurately predicts jet velocity reductions in soft impacts by accounting for the mismatch between contact duration and jet formation time.
This study introduces Band-Ensemble Spectral Proper Orthogonal Decomposition (bSPOD), a method inspired by frequency smoothing that estimates modes from a single Fourier transform to reduce spectral leakage and estimator variance while preserving frequency resolution for broadband-tonal flows.
Using 3D simulations of rotating convection in spherical shells, the study demonstrates that inertial modes naturally emerge in rotationally constrained turbulence when the convective Rossby number falls below approximately one-half, suggesting that such modes are likely driven by differential rotation instabilities in the interiors of stars and giant planets.
This paper proposes a modified suspension-balance model that incorporates hydrodynamic lift forces to efficiently simulate blood flows in microvascular channels, successfully capturing key phenomena such as cell-free layer formation, hematocrit and velocity profiles, and the Fahraeus and Fahraeus-Lindqvist effects.
This paper proposes and validates a dynamic, term-by-term variational multiscale stabilized formulation within an incremental pressure-correction framework that enables robust, equal-order interpolation simulations of incompressible turbulent aerodynamics across laminar to turbulent regimes, successfully capturing complex flow features in large-scale external-aerodynamics configurations like the Ahmed body and Formula 1 cars.
This paper investigates the impact of rotor velocity induction on particle impingement in axial flows, demonstrating that classical 2D models can introduce systematic errors and proposing a validated 1D delay model based on an induction Stokes number to accurately capture the transition regime between limiting particle response cases.
This paper introduces the boostlet transform, a sparse representation system for 2D space-time acoustic signals based on the Poincaré group and isotropic dilations, which demonstrates superior sparsity and reconstruction performance compared to existing methods like wavelets and shearlets.
Millimeter-sized ferrofluid droplets placed on a solid surface migrate under a rotating magnetic field due to periodic interface wobbling, enabling controlled motion, surface cleaning, and cargo transport with speeds that increase alongside the field's amplitude and frequency.
This paper proposes the Coupled Integral PINN (CI-PINN), a novel framework that enhances standard Physics-Informed Neural Networks by integrating auxiliary networks and integral conservation constraints to robustly solve forward PDEs with discontinuities like shocks, bridging the gap between neural network flexibility and finite volume robustness without requiring meshing.
This paper experimentally and theoretically investigates pressure-driven flows in microchannels obstructed by dense arrays of elastic hairs, demonstrating that the resulting nonlinear hydraulic resistance can be modeled as a deformable porous media governed by a dimensionless drag force to enable passive flow control in microfluidic networks.