989 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 presents a hybrid quantum-classical solver that integrates the Harrow-Hassidim-Lloyd (HHL) algorithm with Chebyshev-based approximate quantum state tomography to efficiently solve the incompressible Navier-Stokes equations, successfully validating the approach through accurate simulations of lid-driven cavity and Taylor-Green vortex flows using IBM's Qiskit framework.
This study employs finite element modeling and Lagrangian coherent structure analysis via finite-time Lyapunov exponents to characterize complex cerebrospinal fluid flow in human and zebrafish brain ventricles, revealing that while Stokes equations suffice for calculating stroke volumes, Navier-Stokes equations are necessary to resolve intricate advective transport features.
This study introduces a novel OH-PLIF-based experimental method to directly measure the stretch factor in laminar premixed hydrogen-air flames, revealing how thermodiffusive instabilities increase flame consumption speed and cause the stretch factor to decrease monotonically as the equivalence ratio increases.
This study utilizes direct numerical simulations to analyze magnetoconvection under uniform wall-normal and wall-parallel magnetic fields at low magnetic Reynolds numbers, revealing how Lorentz forces modify coherent structures and turbulent energy budgets through distinct damping and redistribution mechanisms that suppress small-scale turbulence.
This paper presents a two-color laser-induced fluorescence (2C-LIF) technique to simultaneously measure film thickness and scalar concentration during droplet impact on thin liquid films, enabling the quantification of mixing homogeneity and the identification of transport regime transitions across various flow conditions and fluid compositions.
This paper proposes that turbulence is governed by an emergent oscillatory degree of freedom in the Reynolds stress, which unifies universal features like logarithmic velocity profiles and Kolmogorov constants through a geometric, gauge-covariant framework that offers a computationally efficient alternative to direct numerical simulation.
This study utilizes Direct Numerical Simulations to demonstrate that thermodiffusive instabilities in turbulent lean premixed hydrogen-air flames significantly enhance low-frequency combustion noise by altering heat release fluctuations and flame surface dynamics through the coupled action of turbulence and flame stretch, distinguishing their acoustic behavior from stable methane flames.
This paper establishes the mathematical persistence and smoothness of low-order spectral submanifold (SSM) expansions across Hopf bifurcations despite resonance limitations, providing a robust foundation for data-driven model reduction that accurately captures nonlinear fluid dynamics transitions, as demonstrated in lid-driven cavity flow.
Contrary to the prevailing view that no mathematical link exists between the Navier-Stokes equations and the multifractal model, this paper establishes a theoretical reconciliation by deriving a scaling relation that connects Leray's weak solutions to multifractal exponents through velocity gradient norms, thereby identifying a specific range of exponents where thermal noise may induce spontaneous stochasticity.
This study validates a flamelet-based Large Eddy Simulation approach for hydrogen-air flames, demonstrating that it effectively captures the coupling between differential diffusion, strain, and curvature to accurately predict flame structure and reaction rates without requiring complex strained flamelet databases.