1268 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 demonstrates that while deterministic closures fail to capture the rapid growth of uncertainty in coarse-grained turbulence models, incorporating data-driven stochastic closures is essential for accurately restoring the correct timing and magnitude of variance growth across scales.
This paper presents a minimal mathematical model and asymptotic analysis of growing active droplets to explain how cell aggregates undergo continuous or discontinuous morphological transitions during chemotaxis, driven by exponentially small terms arising from contact line dynamics and governed by two key dimensionless parameters.
This study demonstrates that chaotic Faraday waves induce a hole shrinkage in liquid films by generating an effective surface tension, which can be quantitatively described by linking the wave energy to a modified capillary length in the Young-Laplace equation.
This paper presents a physics-informed graph neural network that leverages equivariant architectures and physical priors to accurately estimate hemodynamic flow fields in carotid arteries using moderately-sized in-vivo 4D flow MRI data, thereby eliminating the need for large-scale computational fluid dynamics datasets while demonstrating successful generalization to unseen vascular geometries.
This study reveals that Marangoni forces, arising from phase separation in a co-axial Ouzo flow, can drive oil droplets upstream against buoyancy and hydrodynamic drag, offering new insights into the physicochemical hydrodynamics of multiphase, multi-component systems.
This study demonstrates that increasing the specific heat capacity ratio of dispersed thermal particles in a particulate Rayleigh-Bénard system stabilizes the fluid against convection by modifying the base-state temperature profile through interphase heat exchange, thereby reducing thermal gradients near the injection wall.
This paper proposes a unified physical mechanism involving gravitational effects and pressure-induced changes in interfacial tensions within an adsorption layer to explain the size-dependent variability in sign and magnitude of droplet line tension across nanometric to millimetric scales.
This study presents the first comprehensive experimental and numerical investigation of the turbulent wake of a symmetrically actuated fluidic pinball at Re=9100, revealing that its dynamics are governed by a three-dimensional actuation manifold featuring two inverse pitchfork bifurcations and identifying a new low-frequency shedding state with reduced control authority in the boat-tailing limit.
This paper introduces a generative framework that synthesizes physically feasible, incompressible 2D flows under arbitrary obstacle geometries by integrating boundary-conditioned diffusion, physics-informed training, and a projection-constrained reverse process to enforce exact divergence-free constraints.
This study demonstrates that for direct numerical simulations of compressible wall-bounded turbulence in thermally perfect gases, the consistency between structure-preserving discretizations and the thermodynamic model is critical for accurately capturing turbulence statistics and mean flow properties, particularly at high Mach numbers where entropy conservation and pressure discretization coupling significantly influence dynamical fields.