1138 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 introduces DiffSRDA, a computationally efficient, uncertainty-aware data assimilation framework based on denoising diffusion models that generates high-resolution ensemble analyses from low-resolution forecasts and sparse observations, achieving performance comparable to high-cost methods while supporting training-free adaptation to changing sensor layouts.
Through direct numerical simulations of two-dimensional channel flow, this study demonstrates that while increasing fluid inertia in elasto-inertial turbulence intensifies fluctuations and alters the scaling of momentum transfer, the statistical self-similarity of velocity and elastic stress fluctuations remains robust across a wide range of Reynolds numbers.
This paper presents a unified viscoelastic-viscoplastic continuum framework for granular flows that establishes a direct link between the coefficient of restitution and continuum viscosity to model rate-dependent behavior while preserving the classical plastic flow rule, implemented via the material point method to simulate complex transient processes.
This paper demonstrates that surface waves in a draining-bathtub vortex serve as a unified hydrodynamic analogue for both Aharonov-Bohm phase shifts and Lense-Thirring frame dragging, with experimental validation confirming that circulation-induced flow generates topological phase holonomies and rotating nodal patterns analogous to gauge and gravitational effects.
This paper presents a systematic method combining isotropic tensor theory and orientational averaging to derive exact, unified formulas for arbitrary-order longitudinal and transverse velocity-gradient moments in both compressible and incompressible isotropic turbulence, revealing that higher-order longitudinal moments depend on both the dissipation rate and strain self-amplification.
This study utilizes direct numerical simulation (DNS) to evaluate large eddy simulation (LES) and Reynolds-averaged Navier-Stokes (RANS) models for hydrogen jet mixing in crossflow, revealing that while LES accurately predicts both flow and mixing, RANS significantly under-predicts mixing due to an overestimated turbulent Schmidt number and the invalidity of assuming isotropic turbulent diffusivity.
This paper presents a meshless -adaptive numerical method for simulating non-Newtonian natural convection in a differentially heated cavity, demonstrating that dynamically adjusting node density based on shear-thinning flow characteristics significantly enhances computational efficiency while accurately capturing sharp boundary layer structures.
This study numerically investigates how surface charge patterns on corrugated nanochannels influence fluid flow and ion transport, revealing two distinct regimes where low driving forces are hindered by streaming potentials while high pressures trigger abrupt velocity transitions that enable selective rectification of ionic currents.
This paper presents a cyber-physical underwater vehicle equipped with bio-inspired pectoral fins that generate controllable forces and moments through flapping synchronization, enabling effective lateral maneuvering, hovering, and station keeping.
This paper investigates gas injection into curved, water-saturated porous channels modeling underground storage, deriving asymptotic evolution equations that reveal how axisymmetry and channel slope drive distinct buoyancy-influenced dynamics and five temporal spreading regimes, ultimately offering insights for enhancing the safety and efficiency of subsurface hydrogen and CO storage.