967 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 proposes a continuous Wilsonian renormalized-flow theory that describes wave turbulence as a scale-dependent dynamical process, where Kolmogorov–Zakharov spectra emerge as asymptotic states of a running flow rather than being assumed a priori.
This study uses time-resolved particle image velocimetry (PIV) on axisymmetric cylinders to demonstrate how varying the formation angle of a five-member -formation affects flow dynamics and drag reduction, finding that tighter angles significantly enhance drag reduction for interior members through complex wake-body and wake-wake interactions.
This study demonstrates that modeling assumptions regarding fluid density relationships, boundary conditions, and dimensionality can lead to significant errors (up to 10–100%) in predicting convective mixing rates in porous media, suggesting that mixing is fundamentally governed by mean scalar dissipation.
This paper identifies the "minimal seeds" required to trigger turbulence in a Stokes boundary layer, revealing that while these perturbations are driven by linear transient growth, they must also contain specific non-optimal components to facilitate nonlinear energy transfer and align with the timing of the edge state.
This paper proposes a Bayesian neural network framework to provide uncertainty-aware corrections to RANS turbulence models, demonstrating that while anisotropy corrections significantly improve velocity predictions in separated flows, achieving reliable generalization and uncertainty calibration on unseen configurations remains a significant challenge.
This study demonstrates that even in the continuum regime, low-Reynolds-number viscous shock tubes exhibit significant non-equilibrium effects during shock-boundary layer interactions, necessitating multiscale methods like the unified gas-kinetic scheme (UGKS) over conventional Navier-Stokes solvers.
By using a flapping robot in a wind tunnel, this study demonstrates that increasing flapping frequency (Strouhal number) enhances longitudinal pitch stability and can even stabilize an inherently unstable flyer by increasing the mean effective wind speed.
This paper proposes a Physics-Informed Temporal U-Net that utilizes a VGG-based perceptual loss and a time-weighted parabolic boundary condition to reconstruct high-fidelity, turbulence-preserving fluid dynamics from sparse temporal observations.
This paper develops a diffractionless model to demonstrate that the preferential orientation of thin elastic plates drifting in gravity waves is governed by a non-dimensional parameter that incorporates capillary effects through the equilibrium immersion depth.
This paper develops an analytical linear feedback controller that regulates liquid film thickness on moving substrates by modulating free-surface shear and pressure, demonstrating through a WIBL model how the interplay between these control mechanisms can either stabilize or induce limit-cycle behavior in finite-amplitude waves.