1135 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 demonstrates that in combined extensional-shear Jeffery-Hamel flows, the flow birefringence of a cellulose nanocrystal suspension follows a root-sum-square relationship of shear and extensional contributions, thereby validating the extension of stress-birefringence analysis to complex, multi-mode deformation fields.
Using lubrication theory and Navier slip conditions, this study investigates the migration and asymmetric spreading of 2D and 3D droplets driven by a chemical step, revealing distinct dynamical stages where droplets either move at constant speed or spread with pinned rear contact lines before reaching equilibrium.
This paper clarifies that the Gauss-Appell principle, when applied at a fixed time to incompressible inviscid flow, yields a variational minimization that uniquely determines the reaction pressure as the Lagrange multiplier enforcing kinematic constraints, thereby recovering the Euler equations and the Leray-Hodge projection without inherently selecting global flow features like circulation.
This paper presents and validates a robust, accurate, and hardware-accelerated multiscale solver using OpenACC on GPUs to simulate acoustically driven dilute bubbly flows, demonstrating significant performance speedups and flexibility through both volume-averaged and ensemble-averaged subgrid models.
This paper presents and experimentally validates a kinematically-consistent theoretical model for the evolution of surface perturbations on microbubbles within strain-stiffening viscoelastic materials, addressing limitations in previous models to improve the efficacy of focused ultrasound therapy and microcavitation rheometry.
This paper introduces a Residual-Attention Physics-Informed Neural Network (RA-PINN) that effectively overcomes the numerical diffusion and distortion of conventional models to accurately reconstruct sharp charge boundary layers and multiphase interfaces in electro-thermal-convective flows.
This study demonstrates through laboratory experiments that surfactants enhance submicron aerosol emission from collective bubble bursting while suppressing supermicron aerosol production, thereby providing a mechanism to integrate organic composition into sea spray emission models.
Using direct numerical simulations, this study investigates how gyrotactic microswimmers with varying shapes and activity levels orient and migrate in homogeneous isotropic turbulence, revealing that strong gyrotaxis promotes vertical alignment while weak gyrotaxis leads to isotropic orientations, with particle shape significantly influencing alignment preferences and vertical migration efficiency.
This study investigates the hydrodynamic loads and vortex evolution of a bio-inspired pectoral fin near a solid body in a water tunnel, revealing significant hysteresis in quasi-steady loads, complex vortex behaviors dependent on Strouhal and reduced frequencies, and establishing a data-driven scaling model where hydrodynamic forces are primarily governed by quadratic Strouhal number terms and their nonlinear interactions with reduced frequency.
This paper introduces a methodology using a moving reference frame to eliminate vertical periodicity in particle-resolved simulations, enabling long time-interval studies of settling particle clusters and collective dynamics that were previously hindered by strong vertical correlations.