1274 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 the Wave-Particle Turbulent Simulation (WPTS) framework, when coupled with a mixing-length-based characteristic-time closure, accurately predicts the similarity behavior and characteristic features of spatially developing round jets across different Reynolds numbers.
This paper performs a local linear stability and adjoint-based sensitivity analysis of a turbulent swirling jet in a Francis turbine draft tube, demonstrating that incorporating eddy viscosity is crucial for accurately predicting unstable azimuthal modes and identifying the most unstable operating regimes.
This paper proves that while different real Schur flows (RSFs) are fundamentally distinct due to a no-go theorem regarding Schur matrix transformations, their component-wise dimensionally reduced counterparts (LSFs) are unique and lack closed streamlines, ultimately providing a "sharper" proof of helicity conservation that applies to these reduced flows without requiring local mass conservation.
This paper investigates how departures from the ideal buoyancy balance in natural doubly diffusive convection affect the formation and stability of localized patterns, such as convectons and anticonvectons, by examining how the absence of a steady conduction state unfolds their bifurcation processes.
This paper introduces a novel, fully differentiable simulation framework that unifies computational fluid dynamics and machine learning, enabling end-to-end optimization and data-driven modeling for multi-scale flows across both continuum and rarefied regimes.
This paper presents the first analytical and numerical solutions to the three-phase Stefan problem that account for simultaneous melting, solidification, boiling, and condensation by incorporating critical jump conditions such as density changes and kinetic energy.
This study demonstrates through 3D numerical simulations that accounting for micromagnetorotation (MMR) is essential in modeling stenosed blood flow, as it significantly alters velocity, vorticity, and wall shear stress compared to traditional MHD micropolar models that ignore this magnetic torque effect.
This paper investigates how the curvature of a two-dimensional Riemannian manifold influences fluid dynamics, specifically demonstrating that negative curvature accelerates the elongation of material lines and the filamentation of vortices.
This paper demonstrates and characterizes "temporal aiming" in water waves by using a time-varying metabathymetry of vertical plates to switch a medium from isotropic to anisotropic, thereby deflecting a wavepacket's trajectory.
This study investigates the translational dynamics of ultrasound-driven lipid-coated microbubbles, finding that their transport distance scales linearly with volumetric expansion and that stability is significantly impacted by expansion thresholds, providing key insights for optimizing targeted drug delivery.