1228 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 multi-scale analysis of solute transport and adsorption in graded porous filters by deriving a generalized macroscopic model that departs from standard solenoidal constraints to account for non-equilibrium coupling between concentration and velocity, revealing how porosity gradients and mixture dynamics critically influence filtration efficiency and optimal design.
This study experimentally investigates how water salinity and ice inclination affect the melting of ice blocks in quiescent saline water, revealing five distinct surface morphologies and demonstrating that increased salinity produces smaller, more uniform scallops while inducing a non-monotonic relationship with melt rate, whereas inclination has minimal impact on the overall melting speed.
This experimental study of high-Reynolds-number shear turbulence reveals that energy spectra in the intermediate dissipation range universally follow a stretched-exponential form with a stretching exponent of approximately 0.5, independent of the Reynolds number.
This paper presents an obstacle-aware adversarial Q-learning strategy that enables smart microswimmers to successfully navigate turbulent flows with obstacles by suppressing trapping at stagnation points, thereby outperforming both naive swimmers and surfers.
This study utilizes a novel laboratory facility combining experimental measurements and numerical simulations to investigate how fuel type, combustion parameters, and turbulence influence contrail inception and growth, revealing that contrail scattering is more sensitive to exhaust water vapor content than soot concentration.
This study presents a versatile method for generating isolated vortex gusts using a heaving and pitching airfoil to enable systematic investigation of their interaction with downstream airfoils, demonstrating consistent control over vortex characteristics and transient aerodynamic effects across both numerical and experimental domains.
This paper demonstrates that recently developed high-order dual-pairing summation-by-parts methods, which utilize an entropy-stable volume upwind filter, achieve both provable entropy stability and crucial local energy stability for nonlinear conservation laws, thereby preventing high-frequency mode dominance and enabling accurate simulations of turbulent flows.
This study demonstrates that encapsulating the motile alga *Chlamydomonas reinhardtii* within a giant liposome creates a tunable biohybrid microswimmer where the liposome acts as a controllable "clutch" to regulate swimming speed and reversibly switch motility states, supported by a derived hydrodynamic model linking membrane deformation to velocity.
This paper presents a novel approach combining high-speed thermographic measurements with heat-flux compensation methods to evaluate aerodynamic heating on a hypersonic projectile, demonstrating that the experimentally derived stagnation Stanton number aligns with both computational fluid dynamics simulations and empirical correlations.
This paper introduces a "Lego Block" methodology that combines Schwarz-Christoffel maps and segmentation techniques to construct analytical solutions for fluid flow in complex microfluidic networks and disordered media governed by Laplace's equation, enabling the modeling of multiply connected domains with minimal numerical computation.