1258 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 integrates experimental, numerical, and theoretical approaches to characterize the cavity dynamics and acoustic signatures of a conical-nosed projectile during water entry, revealing that boundary effects significantly elevate the dominant oscillation frequency above the Minnaert limit and that this frequency decreases linearly with increasing Froude number.
This paper introduces the Neural Ensemble Kalman Filter (Neural EnKF), a novel data assimilation method that maps shock-containing flow ensembles to neural network parameter space and employs physics-informed transfer learning to enforce smooth parameter variations, thereby eliminating the spurious oscillations and nonphysical features that plague standard EnKF approaches when handling compressible flows with shocks.
By studying viscoelastic flows in curved pipes, this paper reveals that turbulence at vanishing inertia arises from the competition between two hydrodynamic instabilities leading to co-existing turbulent states, thereby challenging the traditional distinction between elastic and elasto-inertial turbulence.
This study revisits the frictional control of the Antarctic Circumpolar Current by demonstrating through numerical simulations that eddy energy varies with friction and proposing a generalized scaling framework where baroclinicity is controlled by the ratio of eddy energy dissipation to wind stress, thereby emphasizing the critical need to accurately parameterize eddy dissipation in ocean models.
This study experimentally demonstrates that neutrally buoyant droplets in homogeneous isotropic turbulence, despite undergoing size-dependent breakup and exhibiting longer integral times and extended ballistic regimes, behave dynamically similarly to finite-size rigid particles.
This paper presents a Bayesian framework for identifying flame impulse responses that utilizes a physically motivated distributed time delay model and Bayesian model comparison to automatically select the optimal model complexity, thereby producing robust, physically consistent results with fewer spurious features and reduced data requirements compared to traditional system identification methods.
This paper introduces BLISSNet, a DeepONet-based deep operator learning model that achieves a superior balance between accuracy and computational efficiency for reconstructing fluid flows from sparse sensor measurements, enabling zero-shot generalization and faster inference than classical interpolation methods.
This study demonstrates that accurate stress field analysis in radial Hele-Shaw flows requires combining rheo-optical measurements with a second-order stress-optic law to account for three-dimensional stress effects that the conventional law fails to capture.
This study quantifies the theoretical global potential of surface-based atmospheric pollutant removal using natural and mechanical airflows, revealing that integrating technologies into urban infrastructure, solar farms, and HVAC systems could remove significant amounts of CO₂, CH₄, NOₓ, and PM₂.₅ at competitive costs, thereby offering a viable pathway to advance climate and public health objectives.
This paper establishes a general framework demonstrating that self-similar solutions to two-dimensional Riemann problems for the isentropic Euler system with shocks generally exhibit low regularity, specifically that the velocity field fails to belong to and may be discontinuous in the subsonic domain, thereby revealing a significantly more complex structure than solutions for potential flow.