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 paper presents an explicit and exact solution to the governing equations describing the vertical structure of the Arctic Ocean near the North Pole, modeling the halocline as nonhydrostatic, near-inertial Pollard waves within a three-layer stratified water column.
This paper presents a fast, automated CFD methodology that integrates meteorological predictions with LiDAR and cadastral data to accurately reconstruct urban airflows, achieving high validation accuracy and significantly reducing computation times for drone flight simulations compared to traditional full-landscape approaches.
This paper demonstrates that near-inertial Pollard waves modeling the Arctic Ocean's halocline become linearly unstable when their steepness exceeds a specific threshold, a condition determined by the water column's physical properties through a short-wavelength instability analysis.
This study employs scale-resolving simulations and modal analysis on infinite swept wings to demonstrate that transonic buffet arises from the superposition of quasi-2D shock oscillations and separation-driven 3D instabilities, with the latter emerging as dominant spanwise-travelling modes only when mean flow separation at the shock is sufficiently pronounced.
This paper presents an interpretable convolutional neural network framework that learns classical finite-difference operators from fluid dynamics data, effectively bridging numerical analysis and machine learning while generalizing across diverse flow conditions and data sources.
This paper introduces an image-based pore-network model (iPNM) that overcomes the limitations of existing quasi-static models by coupling two-phase flow, solute transport, and Ostwald ripening to accurately simulate the evolution of partially miscible ganglia in porous media, a capability validated against high-resolution microfluidic experiments without adjustable parameters.
This numerical study investigates the formation and evolution of soliton-like coherent structures (SCS) in the transitional wake of a sphere across four Reynolds numbers, revealing that these structures emerge as wave packets from Tollmien-Schlichting waves, reach maximum amplitude following three-dimensional breakdown, and are sustained by surrounding vortex structures and high-shear layers rather than causing them.
This paper proposes and evaluates a new class of high-order -exact advection schemes for spherical centroidal Voronoi tessellations, demonstrating their high accuracy and grid robustness in both classical test cases and a mimetic finite-volume moist shallow-water model.
This paper resolves a 15-year-old mystery in fluid dynamics by demonstrating that viscous bending, rather than inertial forces, selects the specific wavelength of the spontaneous meandering instability in slender rivulets within Hele-Shaw cells, thereby completing the linear-stability picture of this phenomenon.
This paper introduces novel Hyperbolic Shallow Water Moment Equations derived through primitive variable regularization, which analytically overcome the hyperbolicity and accuracy limitations of existing models while preserving the correct momentum equation and enabling interpretable steady states.