1218 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 study investigates ethanol/air spray flamelets in a novel tubular counterflow configuration, revealing that increased curvature significantly alters evaporation profiles and reduces the stretch-induced extinction limit through mechanisms distinct from those observed in gas flamelets.
This study utilizes high-speed imaging to demonstrate that while both silicone oil and hexadecane can enhance droplet rebound on textured PDMS surfaces, silicone oil-infused substrates maintain robust, complete rebound across all impact velocities due to stable capillary retention, whereas hexadecane-infused surfaces exhibit velocity-dependent rebound and gradual performance degradation caused by lubricant loss.
This paper presents a novel, fully meshless approach for reconstructing continuous velocity fields from scattered flow data by integrating gradient-informed adaptive sampling, anisotropic basis functions, and soft constraints to significantly improve accuracy and physical consistency in regions with sharp gradients while reducing computational cost.
This paper introduces a self-supervised graph neural network framework that learns mesh-free discrete differential operators from local geometry, achieving improved accuracy over Smoothed Particle Hydrodynamics and a favorable accuracy-cost trade-off compared to high-order methods while remaining resolution-agnostic and reusable across different particle configurations.
This study combines CFD simulations and analytical modeling to characterize the propagation regimes of detonations in weakly confined gases, establishing a phase map that predicts transitions between overdriven and underdriven states based on acoustic impedance and layer thickness ratios, with direct relevance to rotating detonation engines.
This study applies Proper Orthogonal Decomposition (POD) and four Dynamic Mode Decomposition (DMD) variants to analyze unsteady flow in a 1.5-stage axial turbine, revealing that while specific DMD methods achieve reconstruction accuracy comparable to POD and better capture the system's true dynamic frequencies, both approaches identify dominant modes whose characteristics correlate with the turbine's adiabatic efficiency across different stator clocking configurations.
This paper proposes that breaking phase symmetry in shell models of turbulence suppresses linear instability of the laminar state while preserving the turbulent energy cascade, thereby providing an analytical framework for subcritical transition that may extend to the Navier-Stokes equations via Galilean invariance.
This study develops and validates a reaction-advection-diffusion model to explain non-uniform color distributions and ring-like patterns in paper-based colorimetric sensors, demonstrating that mass transport and reaction dynamics alone can drive spatial variations without evaporation, thereby providing critical insights for optimizing sensor design and protocols.
This study utilizes direct numerical simulations to demonstrate that spanwise wall oscillation with extended, out-scale actuation periods can enhance drag reduction performance in turbulent boundary layers at high Reynolds numbers, challenging the conventional view of inevitable deterioration and offering a new analytical framework linking drag reduction to mean velocity shifts.
This paper introduces a novel high-order compact finite volume method for unstructured grids that utilizes a "scheme space" formulation to systematically control dispersion and dissipation properties and incorporates WENO concepts to robustly capture strong discontinuities without unphysical oscillations.