1262 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 extends a multiscale modeling framework for sea-ice floes by generalizing the particle, kinetic, and hydrodynamic descriptions to include rotational dynamics and nonlinear contact forces, thereby deriving a comprehensive system of macroscopic equations that capture complex stress, transport, and dissipative mechanisms in sea-ice rheology.
This paper presents a consistent phase-averaged model of two-way interactions between surface gravity waves and ocean currents, derived from a variational structure that ensures conservation of momentum and energy, and applies it to the generation of inertial oscillations by surface waves.
This study numerically investigates the incompressible flow around a circular cylinder in an unconfined planar counterflow, revealing that while the flow remains steady and symmetric up to a critical Reynolds number of approximately 4146, it subsequently undergoes a linear instability leading to a sinuous, von Kármán-like oscillatory wake whose frequency scales with the counterflow strain rate.
This study presents a computationally tractable reduced-order model of wake-vortex interactions that quantitatively explains the energetically optimal V-formation flight of northern bald ibises, revealing an 11% power reduction driven primarily by decreased profile power through optimized wing kinematics.
This paper reviews the hydrodynamic models of dense active fluids exhibiting turbulence-like states and introduces a theoretical framework where activity is treated as a dynamically advected field, revealing how spatial heterogeneity leads to sharp fronts, confined turbulence, and local, time-dependent universality in active systems.
This paper introduces a grid-size-invariant deep learning framework using UNet++ architectures as efficient surrogate models for rock-fluid interaction, demonstrating their superior performance and memory efficiency over reduced-order models in predicting fluid flow through dynamic porous media with non-static solid fields.
This paper introduces a generalized characteristic mapping method that utilizes a semi-Lagrangian approach with Duhamel integrals to efficiently solve non-linear advection with source terms, demonstrating third-order accuracy and exceptional resolution in ideal magnetohydrodynamics simulations.
This study experimentally revisits dynamic stall reattachment on a pitching airfoil to reveal that recovery is delayed until a critical leading-edge suction parameter is reached, regardless of pitch rate, and characterizes the subsequent transient process into three distinct stages: reaction delay, wave propagation, and relaxation.
This study establishes an analytical framework linking complex Fourier velocity phase dynamics to energy flux in hydrodynamic shell models, demonstrating that self-interaction-dominated noisy phase oscillators predict a forward energy cascade for systems conserving energy and a sign-indefinite quadratic quantity, while preventing inverse cascades analogous to two-dimensional turbulence.
This paper introduces a frame-independent, variational measure of flow unsteadiness called deformation unsteadiness and utilizes it to define an objective analogue of the classic -criterion for vortex detection, which is validated against analytical and simulated fluid dynamics data.