1214 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 demonstrates that transverse linear response analysis can dynamically distinguish between retained-spin micropolar dynamics, eliminated-spin effective theories, and polynomial Burnett-type closures by revealing unique spectral signatures, such as phase lags and pole structures, that are validated through many-particle simulations of rough spheres.
This paper introduces Predictor-Driven Diffusion, a novel framework that integrates renormalization-group-based spatial coarse-graining with path-integral temporal dynamics to enable a unified predictor for spatiotemporal generation, simulation, and super-resolution in multiscale turbulent systems.
This study demonstrates that Physics-Informed Neural Networks (PINNs) combined with an optimization-based framework can successfully identify and maintain non-attracting, phase-locked periodic flow states in the wake of a forced oscillating cylinder that are inaccessible through conventional time-stepping simulations, thereby revealing hidden solutions to the governing equations beyond the system's attracting states.
This study uses Direct Numerical Simulations to demonstrate that compliant walls enhance turbulent heat transfer in channel flows by promoting convective transport through wall-normal velocity fluctuations driven by sweep and ejection events, thereby enabling heat flux control via the wall's transverse modulus of elasticity.
This paper identifies and characterizes a previously undocumented class of numerically induced carbuncle-type instabilities in hypersonic bow shock simulations of inert polyatomic gases with low specific heat ratios, highlighting the critical need to distinguish these computational artifacts from genuine physical shock oscillations observed in real thermochemically relaxing flows.
This paper reveals that the dispersion of clean spherical bubbles rising in a chain follows a two-stage mechanism where initial destabilization is driven by wake-induced lift, while subsequent large-scale lateral dispersion is caused by a collective, self-induced mean flow that enhances shear-induced lift.
This study proposes two variational quantum circuit architectures, R1 and R2, to train quantum machine learning models that accurately approximate the nonlinear collision operator in the quantum lattice Boltzmann method for both continuous multi-step evolution and single-step high-precision reconstruction.
This paper proposes a novel particle merging algorithm for rarefied gas dynamics simulations that conserves arbitrary velocity and spatial moments, as well as collision rates, by solving a non-negative least squares problem, thereby significantly reducing merging-induced errors in macroscopic quantities.
This study utilizes high-speed microscopy to demonstrate that viscoelasticity destabilizes the receding contact line of sliding drops, triggering filament formation, with the effect critically dependent on polymer charge due to distinct wetting properties.
This paper analyzes the roll instability of fish-like underwater robots by modeling them as a hydrodynamic Chaplygin sleigh, demonstrating that their periodic yaw motion induces parametric roll excitation described by a nonhomogeneous Mathieu equation, which reveals a fundamental trade-off between swimming speed and roll stability.