🔬 Category

physics.flu-dyn

1256 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.

Structure-preserving Randomized Neural Networks for Incompressible Magnetohydrodynamics Equations

This paper proposes Structure-Preserving Randomized Neural Networks (SP-RaNN), a novel framework that reformulates the solution of incompressible magnetohydrodynamic equations into a linear least-squares problem to eliminate nonconvex optimization while automatically and exactly satisfying divergence-free constraints, thereby achieving superior accuracy, stability, and convergence compared to traditional and deep learning-based methods.

Yunlong Li, Fei Wang, Lingxiao Li2026-03-03🤖 cs.LG

From Bifurcations to State-Variable Statistics in Isotropic Turbulence: Internal Structure, Intermittency, and Kolmogorov Scaling via Non-Observable Quasi-PDFs

This paper proposes that the non-observability of bifurcation modes, when combined with nonlinearity, provides the missing conceptual link to analytically derive Kolmogorov scaling, explain the monotonic growth of intermittency with Reynolds number, and determine the internal structure and statistics of isotropic turbulence through quasi-probability distribution functions.

Nicola de Divitiis2026-03-03🔬 physics

A cross-dimensional discrete Boltzmann framework for fluid dynamics

This paper presents a unified cross-dimensional discrete Boltzmann framework for simulating compressible flows with tunable specific heat ratios, utilizing a high-symmetry discrete velocity set for Galilean invariance and an operator-splitting scheme to extend a one-dimensional kinetic formulation to multi-dimensional systems, all of which are validated against standard benchmark problems.

Yaofeng Li, Chuandong Lin2026-03-03🔬 physics

Numerical method for strongly variable-density flows at low Mach number: flame-sheet regularisation and a mass-flux immersed boundary method

This paper presents a robust numerical method for simulating strongly variable-density, low-Mach-number flows in combustion systems by integrating a fractional time-step model with flame-sheet regularisation and an extended mass-flux immersed boundary method to handle thermal gradients and complex burner geometries on Cartesian grids.

Matheus P. Severino, Fernando F. Fachini, Elmer M. Gennaro, Daniel Rodríguez, Leandro F. Souza2026-03-03🔬 physics

Influence of Turbulence Length Scale and Platform Surge Motion on Wake Dynamics in Tandem Floating Wind Turbines

This study utilizes high-fidelity CFD simulations to demonstrate that increasing the inflow turbulence integral length scale is the primary factor accelerating wake recovery and enhancing downstream power output in tandem floating wind turbines, as larger scales introduce energetic low-frequency eddies that destabilize tip vortices and promote mixing, while platform surge motion plays a secondary role.

Ahmad Nabhani, Josep M. Bergada2026-03-03🔬 physics