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 introduces a self-supervised graph neural network framework that learns mesh-free discrete differential operators from local geometry, achieving improved accuracy over Smoothed Particle Hydrodynamics and a favorable accuracy-cost trade-off compared to high-order methods while remaining resolution-agnostic and reusable across different particle configurations.
This study combines CFD simulations and analytical modeling to characterize the propagation regimes of detonations in weakly confined gases, establishing a phase map that predicts transitions between overdriven and underdriven states based on acoustic impedance and layer thickness ratios, with direct relevance to rotating detonation engines.
This study utilizes direct numerical simulations to demonstrate that spanwise wall oscillation with extended, out-scale actuation periods can enhance drag reduction performance in turbulent boundary layers at high Reynolds numbers, challenging the conventional view of inevitable deterioration and offering a new analytical framework linking drag reduction to mean velocity shifts.
This paper establishes a predictive framework for transient buoyancy-driven mixing in porous media by deriving exact time-dependent balances that reveal localized dynamics, enabling a universal, parameter-free transport law validated by high-resolution direct numerical simulations.
This study introduces and validates a modified Bernoulli equation that incorporates Reynolds-number-dependent loss coefficients to more accurately estimate trans-stenotic pressure gradients across varying flow regimes compared to traditional simplified and extended formulations, while also demonstrating that peak-velocity-based estimations are more robust to MRI pixel size limitations than bulk flow rate measurements.
This paper presents a data assimilation framework that successfully demonstrates the joint estimation of carrier flow fields and unknown particle properties (such as position, size, and density) from sparse and noisy Lagrangian particle tracking data across turbulent, inertial, and compressible supersonic flow regimes.
This paper introduces a generalized actuator disk theory that seamlessly integrates classical streamtube analysis with turbulent wake modeling to predict flow variations and provide more realistic thrust and power coefficients for highly-loaded rotors at arbitrary distances.
Using the FOUCAULT model, this study provides numerical evidence that Kelvin waves on quantized vortices in superfluid helium induce a coherent, temperature-dependent response in the normal fluid component, offering a new pathway for their experimental observation via tracer-based visualization.
This study demonstrates that sufficiently strong horizontal convection can suppress Rayleigh-Bénard convection and induce a restratified state in a fluid layer, identifying specific scaling laws for the onset of neutral and strong stratification regimes driven by the interplay between horizontal and vertical buoyancy fluxes.
This study investigates the applicability of incompressible roughness parameters in compressible turbulent boundary layers across a wide range of Mach and Reynolds numbers, revealing that while velocity transformations have limited impact, the fully rough regime exhibits a Mach-number-dependent shift that is best addressed by a temperature-ratio-based correction factor, thereby highlighting the need for custom rough-wall transformations.