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 data-driven approach using Physical Symbolic Optimization to discover an interpretable, non-linear analytical closure for Lattice Boltzmann turbulence modeling that outperforms traditional Smagorinsky models in accuracy and generalizes robustly to wall-bounded flows without supplemental corrections.
This study demonstrates that fluid viscoelasticity fundamentally alters acoustic particle migration and trapping in microchannels by shifting equilibrium locations and significantly reducing the critical particle size required for manipulation, thereby overcoming key limitations of conventional acoustofluidics in Newtonian fluids.
This paper employs a nonlinear input-output optimization framework to identify a four-stage transition pathway in a Mach 2.15 shock-induced separated shear layer, demonstrating that optimal forcing of oblique first Mack modes can trigger turbulent breakdown through nonlinear interactions that generate Görtler-like vortices and streaks, thereby bridging linear stability theory and fully turbulent simulations for high-speed flow control.
This paper introduces Neural-ISAM, a hybrid in-situ machine learning method that dynamically replaces pruned regions of adaptive tabulation databases with trained neural networks to significantly reduce memory requirements while maintaining accuracy in large-eddy simulations of complex turbulent flames.
This study utilizes concurrent spatially resolved wake velocity and distributed blade strain measurements to demonstrate that a model wind turbine's tip-speed ratio primarily governs the amplitude and coherence of wake-blade coupling, while revealing a causal, blade-driven imprint on downstream wake fluctuations through a consistent negative-lag correlation.
This paper presents a mathematical framework and a two-staged gradient descent algorithm to derive optimal air-knife trajectories that ensure consistent drying rates at a critical concentration for solution thin films on wafer-sized substrates, while also addressing the limitations of achieving uniform drying when initial wet film thickness distributions are non-monotonic.
This study demonstrates that traveling capillary waves on thin liquid films induce asymmetric droplet impact dynamics and mixing patterns governed by local film depth variations, although these wave-induced effects diminish at higher Weber numbers where inertial forces dominate.
This study investigates the formation of vortex rings resulting from the interaction between a collapsing cavitation bubble and a confined air bubble in a cylindrical blind hole, identifying specific geometric and temporal conditions through experiments and modeling that distinguish regimes where coherent rings are produced from those where they are not.
This paper experimentally demonstrates, via ultra-high-speed imaging, that acoustic droplet vaporization generates complex bubble-pair microjets with self-similar dynamics and interface-piercing capabilities, which hold significant potential for targeted drug delivery and cancer treatment.
This paper introduces a novel lattice Boltzmann model using first-neighbour lattices and quasi-equilibrium correction terms to simulate compressible, non-ideal fluid flows with thermodynamic consistency and numerical stability, successfully validating its accuracy through quantitative simulations of shock-drop interactions at Mach numbers up to 1.47.