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 presents a robust and efficient hybrid overlapping moving-mesh technique integrated within the unified gas-kinetic scheme (UGKS) to accurately simulate unsteady multiscale flows with moving boundaries, such as hypersonic multi-body separation and MEMS flows, by extending implicit solvers to mitigate CFL constraints and optimize computational performance.
This paper presents an analytical study using singular perturbation and WKB approximation to derive a finger selection mechanism for Saffman-Taylor fingers in tapered Hele-Shaw cells, demonstrating that the gap gradient significantly influences finger width and can be used to stabilize or destabilize fingering instabilities.
This paper demonstrates that defect-embedded phononic subsurfaces, when coupled with wall-bounded turbulent flows via a weakly coupled framework, can passively filter and reorganize turbulent energy to suppress velocity fluctuations and reduce drag through a unique frequency-selective interaction that shifts the system's dominant oscillation away from its designed resonance.
This study employs direct numerical simulations to reveal that secondary droplets generated by high-speed raindrop impacts on a liquid pool follow a universal size distribution scaling law of and are significantly influenced by the formation and breakup of a central liquid film, which modulates droplet capture and re-merging dynamics.
This study introduces a new vertically-elongated Lagrangian tracking model to demonstrate that turbulent wind fluctuations accelerate warm-cloud droplet growth and precipitation onset by enhancing both autoconversion and accretion processes compared to non-turbulent conditions.
This paper develops a unified boundary-layer framework and validates it with simulations to quantify magnetohydrodynamic drag on an oscillating sphere in a rotating cavity, addressing the coupled effects of magnetic fields, rotation, and viscosity relevant to planetary interiors and icy moons.
This study demonstrates that soluble surfactants suppress hydrodynamic coarsening in bicontinuous liquid-liquid phase separation primarily through Marangoni stresses rather than reduced interfacial tension, with the inhibition peaking at an intermediate Péclet number due to an optimal balance between surfactant replenishment and gradient retention.
This paper introduces LCS.jl, a high-performance, multi-platform Julia-based simulation model for turbulent particle-laden flows that leverages GPU-native algorithms to achieve superior scalability, portability, and up to 18x speedup over CPU implementations while maintaining strong agreement with established fluid and particle statistics.
This paper introduces Scale-Autoregressive Modeling (SAR), a hierarchical generative approach that samples fluid flow distributions from coarse to fine resolutions to achieve faster inference and higher accuracy than state-of-the-art diffusion and flow-matching models while avoiding the error accumulation of traditional time-stepping surrogates.
This study demonstrates that the apparent separation between quasi-2D and 3D regimes in rotating turbulence is an artifact of finite vertical measurement windows rather than an intrinsic flow property, thereby challenging the validity of pure 2D manifold theories and highlighting the need for resolution-aware frameworks.