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.
The paper introduces ViT-K, a novel few-shot learning framework that combines Vision Transformers and the Koopman operator to efficiently and stably predict the long-term spatiotemporal evolution of coupled fluid-porous media flows from sparse data, overcoming the computational costs and error accumulation issues of traditional numerical solvers.
Policy-DRIFT is a novel framework that combines a conditional flow matching model with terminal reward guidance and a lightweight deep reinforcement learning policy to achieve a record-breaking 49% drag reduction in turbulent channel flow by decoupling reward optimization from policy training, thereby surpassing traditional DRL benchmarks in both efficiency and performance.
This paper employs a variational approach based on averaged Lagrangians to derive simple, accurate single solitary wave solutions for the energy-conserving extended KdV equation and validates their effectiveness in modeling both classical and resonant dispersive shock waves in shallow water through comparison with numerical simulations.
This paper investigates the nonlinear dynamics of Newton's minimal resistance problem in radial fields, demonstrating that while scale-invariant free expansion suffers from symmetry-breaking instability requiring geometric truncation, incompressible source flow acts as a structural regularizer that guarantees unique, smooth, and strictly concave solutions.
This paper derives a Stuart-Landau amplitude equation via weakly nonlinear analysis to analytically describe the supercritical Hopf bifurcation and the resulting stable limit-cycle oscillations of a Cosserat rod in a viscous fluid under a terminal follower force.
This study employs fully compressible numerical simulations to demonstrate that high-frequency acoustic forcing drives lean hydrogen-air premixed flames through distinct linear and non-linear morphological evolution stages, where the resulting instability dynamics and displacement speed characteristics are critically governed by the interplay between forcing frequency, equivalence ratio, and the dominance of either thermodiffusive or hydrodynamic instabilities.
This paper generalizes the Chapman-Enskog method to derive an integral representation of the viscous stress tensor for large velocity gradients, enabling the numerical modeling of turbulence non-locality and phenomena like tangential discontinuities that standard Navier-Stokes formulations struggle to capture.
This paper demonstrates that dynamic similarity in superfluid flow past a penetrable obstacle is governed by a superfluid Reynolds number based on an effective diameter defined by the Mach-1 contour, rather than the obstacle's geometric size, which successfully unifies wake dynamics, vortex shedding transitions, and drag characteristics across varying obstacle parameters.
This paper demonstrates that the apparent parametric complexity of rarefied micro-nozzle flows is largely a scaling artifact that can be resolved by shock-centered coordinate registration, enabling a DeepONet surrogate to achieve significantly higher prediction accuracy with reduced error compared to standard baselines.
This paper proposes a fully discrete Active Flux method for the 2D compressible Euler equations that utilizes transported acoustic increments to eliminate additive split defects, thereby achieving third-order accuracy, enhanced symmetry preservation, and superior low-Mach performance compared to traditional additive updates.