995 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 resolves the discrepancy between Kazantsev theory and numerical simulations regarding small-scale dynamo decay at small Prandtl numbers by demonstrating that the observed exponential decay is a temporary effect caused by large-scale velocity correlator flattening, which corresponds to a long-living virtual level in the associated Schrödinger-type equation.
This paper presents a generalized inner product-based method using self-adjoint operator theory to model the time-domain evolution of underwater pressure disturbances caused by events like explosions or volcanic eruptions, revealing that while static compression has a small but non-negligible effect on the resulting acoustic-gravity wave propagation.
This paper proposes a new five-term nonlinear reduced-order drag model that incorporates both linear and quadratic coupling with the lift coefficient to accurately reproduce drag signals in cylinder wakes where traditional two-to-one frequency assumptions fail under harmonic excitation.
This study bridges the long-standing Prandtl number gap in 3D simulations of thermohaline convection by demonstrating that the chemical mixing model of Brown, Garaud, & Stellmach (2013) remains valid across stellar regimes down to , thereby ruling out the Prandtl number discrepancy as the cause of tensions between the model and astronomical observations.
This study employs direct numerical simulations and compares four interpretable data-driven models—DMD, Hankel DMD, SINDy, and Stochastic Langevin regression (SLR)—to decode the interfacial dynamics and acceleration of a turbulent binary fluid droplet, demonstrating that SLR offers the most accurate and computationally efficient approach for generalizing physical properties like surface tension and droplet size.
This study utilizes 2D URANS simulations to demonstrate that while increasing blade count or chord length enhances the self-starting acceleration of Darrieus vertical-axis wind turbines, both modifications ultimately reduce the attainable steady-state tip-speed ratio due to intensified blade-vortex interactions and increased viscous losses.
This study reveals that despite differences in Reynolds number, the large-scale vortical structures driving transient lift variations during extreme gust encounters over a square wing exhibit striking topological similarities between laminar and turbulent flows, suggesting that low-Reynolds-number models can effectively inform the understanding and control of high-Reynolds-number extreme aerodynamics.
This paper establishes a universal statistical framework for nonequilibrium pattern-forming systems with inherent length-scale selection, demonstrating through theory, simulations, and Faraday wave experiments that their dynamics can be effectively described by monochromatic random fields confined near a mean energy hypersurface.
This paper reports the numerical observation of a universal far-from-equilibrium equation of state in the Gross-Pitaevskii model, demonstrating that in a regime of mixed turbulence, the momentum distribution amplitude scales with the energy flux to the power of approximately 0.67, a finding that extends the concept of quasi-static thermodynamic processes to non-equilibrium steady states.
This study analytically demonstrates that in the presence of shear flow, tidal energy conversion over topography involves both discrete regular eigenmodes and continuous singular solutions, with the latter forming evolving wave packets that can lead to breaking and necessitating an extended formula for net energy conversion.