1273 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.
Using 3D particle-tracking velocimetry on a patient-specific, refractive-index matched tracheal model, this study demonstrates that while the presence of nasal and oral cavities significantly alters tracheal flow structures compared to idealized conditions, the specific inhalation route (oral versus nasal) has a minimal impact on the resulting flow patterns.
This paper presents a theoretical perturbation study on the deformation and orientation of a spherical capsule with viscosity contrast in linear flows, deriving analytical expressions for the Taylor parameter and inclination angle that depend on elastic constitutive laws, surface tension, and bending rigidity, and validating these results against boundary integral numerical simulations.
This paper adapts the microcanonical framework of equilibrium statistical mechanics to predict the statistics of short waves in inhomogeneous moving media by computing wave spectra based on an ergodic prescription for action density constrained by absolute frequency conservation, a method validated against numerical simulations for shallow-water and deep-water capillary waves.
This paper establishes optimal quantitative enstrophy bounds for the two-dimensional incompressible Navier-Stokes equations with measure initial vorticity by utilizing improved Nash inequalities, thereby deriving a conjecturally sharp dissipation rate within Delort's class.
This paper presents a physics-informed, data-driven, and parameter-free symbolic subgrid-scale model for incompressible fluid turbulence that utilizes a rank-two tensor field to accurately predict energy and enstrophy fluxes across diverse coherent structures, outperforming leading LES models without relying on restrictive phenomenological assumptions.
This paper presents a new analytical tool that extends previous fluid-structure interaction formulations to characterize the parametric regions, frequencies, and growth rates of coupled pitch-heave flutter instabilities in flexible foils, demonstrating how reduced stiffness and spring constants significantly enlarge instability ranges to guide the design of future flexible oscillating foil turbines.
This study utilizes adjoint-variational data assimilation and Hessian analysis to demonstrate that reconstructing turbulent channel flow from wall observations is inherently difficult due to the rapid decay of sensitivity beyond the buffer layer, which causes large gradients in the cost function and hinders convergence, particularly for bulk flow structures.
This paper presents an adjoint-based optimization framework combined with Hamiltonian Monte Carlo to reconstruct the forcing of finite-size passive particles in turbulent flows from sparse, noisy trajectory data, demonstrating accurate results specifically for particle Reynolds numbers between 1 and 5.
This paper presents a novel Green's Function Integral (GFI) method that reconstructs pressure fields from error-embedded pressure gradient data by utilizing the Green's function of the Laplacian operator, offering a mathematically equivalent yet computationally more efficient and geometrically flexible alternative to the state-of-the-art omnidirectional integration (ODI) approach.
This study demonstrates that applying a steady spanwise Stokes layer to Poiseuille flow significantly enhances linear stability and reduces transient energy growth, suggesting a promising strategy for simultaneously delaying turbulence transition and lowering skin-friction drag.