1229 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 evaluates tabulated-chemistry models for strained lean premixed hydrogen flames, identifying limitations in traditional approaches and proposing novel strained flamelet manifolds and correction methodologies that improve reaction rate and consumption speed predictions in turbulent settings without increasing computational cost.
This paper presents a consistent kinetic modeling and discretization strategy using a double-distribution quasi-equilibrium approach that enables accurate, stable, and Galilean-invariant simulations of compressible flows across all Prandtl numbers and specific heat ratios, successfully recovering Navier-Stokes-Fourier physics for both moderate supersonic speeds and complex discontinuities.
This paper presents a computationally efficient stochastic modeling framework that couples time-domain random walk transport in rough-walled fractures with semi-analytical matrix conduction to reveal how aperture heterogeneity and thermal memory drive a transition from superdiffusive to subdiffusive heat transport regimes in fractured media.
This study reveals that active Brownian particles in a four-roll-mill flow undergo a novel flow-induced phase separation at high densities (), characterized by transient trapping, giant number fluctuations, and a dominance of background flow over activity in determining large-scale transport.
This paper presents an enhanced immersed interface method that utilizes a bilinear velocity interpolation operator incorporating jump conditions from multiple nearby interfaces to accurately simulate incompressible fluid flows in thin gaps between closely spaced boundaries, overcoming grid resolution limitations and eliminating the need for prior geometric knowledge.
This paper presents an isothermal Global Buckley--Leverett framework for multicomponent multiphase flow in fractured media that integrates equation-of-state phase behavior, Maxwell--Stefan diffusion, and dynamic capillarity to resolve hyperbolicity issues and ensure a well-posed problem while maintaining interpretability for applications like carbon storage and geothermal exchange.
This study demonstrates that arterial geometry acts as an active modulator of flow dynamics by triggering a resonant transfer of energy to short-wavelength components at specific Womersley numbers, thereby generating spectral complexity even as overall flow energy decays.
This paper introduces a nonlinear unsteady vortex-lattice vortex-particle method with an adaptive wake conversion strategy that significantly improves computational efficiency and robustness for rotorcraft aerodynamics while maintaining high accuracy across hover, forward flight, and multirotor interaction scenarios.
This study demonstrates through Navier-Stokes simulations that non-Newtonian rheology, specifically yield stress and shear-thinning behavior, significantly alters flow connectivity, distribution, and pressure dynamics in natural fracture networks compared to Newtonian fluids, necessitating its inclusion in fracture-flow modeling.
This paper presents a novel, comprehensive mathematical formula for predicting natural convective heat transfer from inclined cylinders based on Jaffer's 2023 analysis, which was validated against 93 experimental measurements across three studies with root-mean-squared relative errors ranging from 1.9% to 4.7%.