1230 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 a novel, locally conservative spatial discretization for the compressible Euler equations of thermally perfect gases that guarantees discrete entropy conservation while preserving linear invariants and kinetic energy, offering improved accuracy and robustness over existing methods.
This study demonstrates that inverse energy cascades can emerge from dry fluid dynamics in rotating, stably stratified flows within anisotropic three-dimensional domains under planetary atmospheric conditions, suggesting a mechanism for intermediate-scale atmospheric self-organization.
This paper analytically demonstrates that the formation of finite-time singularities in axisymmetric 3D incompressible Euler flows within a cylinder is determined exclusively by the local geometric flatness of the initial vortex stretching rate near its global minimum, with specific power-law thresholds distinguishing between regular solutions and blowup scenarios depending on the singularity's location.
This study demonstrates that in two-dimensional damped-driven Navier-Stokes turbulence, the observational resolution required to reconstruct small-scale flows is determined by the forcing scale rather than the dissipation scale, a fundamental difference from three-dimensional turbulence attributed to distinct inter-scale interactions and orbital instabilities.
This paper develops, simulates, and analytically derives a spatio-temporal random synthetic turbulent velocity field based on a divergence-free fractional Gaussian framework and Ornstein-Uhlenbeck temporal evolution, demonstrating that its statistical properties align with direct numerical simulations of the Navier-Stokes equations.
This paper proposes a parameter-efficient weight-sharing neural network that successfully reconstructs three-dimensional turbulent flows from sparse, noisy planar measurements without requiring ground truth data, demonstrating superior generalization and robustness compared to existing methods.
This study utilizes the statistically stationary Rayleigh-Taylor flow configuration to demonstrate that while conventional mixing layer growth rates vary with the Atwood number, introducing an effective Atwood number based on the logarithm of the density ratio yields a unified, nearly constant scaling law for self-similar variable-density turbulence across a broad range of parameters.
This paper proposes and optimizes a magnetically driven elastic microswimmer that achieves autonomous, nonreciprocal propulsion through hysteretic collapse of its segments, enabling the simultaneous independent control of multiple microrobots via a single oscillating magnetic field for potential medical applications.
This paper establishes a rigorous two-way equivalence between the incompressible Navier-Stokes equations and the principle of minimum pressure gradient (PMPG), demonstrating that the former is mathematically identical to the instantaneous minimization of the pressure force required to enforce incompressibility, thereby offering a variational framework that generalizes classical Galerkin projections and provides new insights into flow stability and the vanishing-viscosity limit.
This study utilizes high-speed imaging to demonstrate that single-winged spinning samaras exhibit significant temporal variations in their kinematic parameters, challenging the traditional assumption of steady-state flight and providing a physically grounded basis for reformulating aerodynamic models with experimentally validated harmonic representations.