995 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 study presents an analytical-numerical coupled model that combines a closed-form analytical solution for droplet impact pressure with finite-element simulations of solid response, achieving over 97% computational cost reduction compared to traditional SPH methods while accurately predicting erosion-relevant quantities like peak pressure and impact force.
This study evaluates the performance of an analytical-numerical coupled model (ANCM) for droplet impacts on soft materials, revealing that while the model remains accurate for surfaces with a Young's modulus of 47,400 Pa or higher, it significantly overestimates impact forces and deformation for softer materials below a critical threshold of 10,000 Pa due to its rigid-surface assumption.
This study demonstrates that optimizing the particle-to-droplet size ratio, particle position, and oil layer thickness significantly enhances the sensitivity and uniformity of fluorescence detection in droplet-based optomicrofluidic systems, enabling effective label-free particle detection and improved single-cell assays.
Contrary to the conventional expectation that electrowetting promotes droplet spreading, this study reveals that applying DC voltage to specific microtextured, lubricant-infused surfaces in a Cassie wetting state induces rapid tangential droplet ejection due to unbalanced electrocapillary forces and minimal pinning, offering a new paradigm for controlled droplet transport.
This paper introduces FP-HMsNet, a novel deep learning architecture combining Fourier Neural Operators with a hierarchical multiscale preconditioner-solver framework that achieves state-of-the-art accuracy, robustness, and computational efficiency in modeling high-contrast subsurface fluid flow governed by the Darcy equation.
This paper presents an improved, weakly nonlinear multimodal model for acoustics in two- and three-dimensional curved ducts without flow, which extends previous work to include general curvature, torsion, and width variations to analyze effects like wave steepening and acoustic leakage, with potential applications to brass instruments.
This study employs a phase-field method to analyze the onset of buoyancy and thermocapillary instabilities in two-layer binary fluid systems near their upper critical solution temperature, revealing that increased solubility near this limit generally suppresses oscillatory convection while interfacial thickness and tension create complex, system-specific stability behaviors.
This paper proposes a scalable, data-driven algorithm that combines time-delayed embedding, Koopman theory, and linear optimal estimation to accurately forecast the future evolution of dominant structures in high-dimensional three-dimensional turbulent recirculating flows using sparse sensor data.
This paper introduces a novel framework using the differentiable hybrid climate model NeuralGCM to efficiently optimize initial conditions and generate physically consistent, worst-case heatwave storylines that exceed the intensity of traditional large-ensemble simulations, as demonstrated by the 2021 Pacific Northwest heatwave.
This paper extends the traditional first-order concept of protrusion heights for riblet drag reduction to a full higher-order asymptotic expansion, providing more accurate equivalent boundary conditions while revealing that nonlinearities in the Navier-Stokes equations enter the expansion in a surprisingly limited manner.