1210 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 investigates the linearized stability of Couette flow in stress-power law fluids with non-monotonic stress-strain rate behavior, demonstrating that flow stability is fundamentally determined by the interplay between boundary conditions and the specific branch of the constitutive curve, where ascending branches yield stable solutions and descending branches lead to instability.
This paper proposes a novel method combining instanton calculus, fusion rules, and low-order simulation data to derive high-order structure function exponents in Burgers turbulence, successfully capturing the intermittency crossover at and demonstrating the critical role of fluctuations around instantons.
This paper experimentally investigates how the momentum flux ratio () influences the atomization mechanisms, shock structures, and unsteadiness of elliptical liquid jets in a supersonic cross-flow, revealing that while lower induces large-scale unsteadiness and Rayleigh-Taylor waves, higher suppresses these effects through enhanced drag, yet Kelvin-Helmholtz instabilities on lateral surfaces remain the primary atomization driver across all values.
This paper theoretically demonstrates that spatially varying oscillating magnetic fields induce eddy currents in non-magnetic conducting particles, generating steady forces and torques that drive magnetophoresis and amplify concentration fluctuations through anisotropic diffusion.
This study combines digital in-line holography and ultra-high-speed pyrometry with a kinetic-transport modeling framework to characterize and predict the solid-phase oxidation and melting time scales of single micron-sized iron particles, revealing distinct oxygen-concentration dependencies across different phase transition stages to advance metal-fuel combustion design.
This study utilizes photoelasticity and particle tracking to demonstrate that stress network dynamics, specifically the formation of anisotropic force chains and stress fluctuations, are the primary drivers of the squeeze-expulsion mechanism responsible for large particle segregation in granular flows.
This paper demonstrates through theoretical analysis and numerical simulations that van der Waals forces significantly enhance the instability of liquid films in nanotubes by accelerating perturbation growth, reducing dominant wavelengths, and suppressing satellite lobes, while both rupture and collapse processes follow a universal self-similar scaling law with a 1/3 exponent.
This paper demonstrates that applying a standing acoustic field to a liquid-liquid microfluidic coflow induces a unique, reversible stream-splitting regime that enables on-demand, spatially programmable droplet generation at high capillary numbers while maintaining a continuous residual flow.
This study demonstrates that macroscopic continuum traffic models, specifically the second-order Aw-Rascle-Zhang model solved on directed networks, can reproduce the scale-free spatiotemporal congestion clusters and finite-size scaling observed in real urban traffic, suggesting that such dynamics may arise from self-organized criticality.
This paper presents direct numerical simulations of fluctuating Navier-Stokes equations that provide decisive quantitative validation for the Lutsko-Dufty theory of nonequilibrium long-range correlations and the Forster-Nelson-Stephen dynamic renormalization group theory of anomalous transport, demonstrating their accuracy across regimes from viscous-dominated to strongly nonlinear shear flows.