1214 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 introduces an unsupervised neural-implicit method for laser absorption tomography that reconstructs quantitative, unsteady flame fields directly from sparse experimental measurements without relying on prior simulations, demonstrating its effectiveness in capturing combustion instabilities through physics-inspired regularization.
This paper introduces the Binned Spectral Power (BSP) Loss, a novel frequency-domain loss function that mitigates the spectral bias of deep learning models to significantly improve the stability and long-term prediction accuracy of multiscale chaotic dynamical systems, such as turbulent flows, without requiring architectural changes.
This paper presents a novel method for measuring three-dimensional density fields in buoyant plumes using an eight-camera Tomographic Background Oriented Schlieren (TBOS) system, successfully validating the technique against theoretical models and demonstrating its capability to capture complex phenomena such as puffing in lazy plumes.
This computational study demonstrates that while seal whisker-inspired undulated cylinders significantly reduce drag and lift oscillations at zero sweep angle, increasing the sweep angle diminishes these hydrodynamic benefits by promoting flow characteristics similar to those of a smooth cylinder.
This paper introduces an open-source, 70-view background-oriented schlieren dataset of high-speed flow over a flight body and demonstrates its utility through neural-implicit reconstruction and data assimilation techniques that achieve high-fidelity shock resolution, 3D state estimation, and efficient uncertainty quantification.
This study utilizes a centrifugal thin-film balance to demonstrate that soap film drainage under extreme gravity remains governed by capillary suction and marginal regeneration, while revealing that increased effective gravity significantly stretches the film, controls drainage rates via meniscus size, and induces an inertia-to-viscous transition in thin film element motion.
This paper presents and validates a novel two-level fluid-kinetic coupling method that combines Direct Simulation Monte Carlo (DSMC) for near-wall layers with a high-order Lattice-Boltzmann (HOLB) scheme for bulk flow, enabling the first computationally feasible simulation of coherent structure regeneration cycles and transition to turbulence in wall-bounded flows at Reynolds numbers up to thousands.
This paper analytically investigates the dynamics of an internally actuated, weakly elastic sphere in a general unbounded quadratic flow using the domain perturbation method, revealing how elastic strain influences the required point force and torque for motion, with specific applications to elliptical, plane, and Hagen-Poiseuille flows.
Using direct numerical simulations at Re=10000, this study reveals that while a bluff-body wake's large-scale vortices are rapidly attenuated at a porous interface, the resulting pore-scale turbulence and enhanced shear in lower-porosity media significantly boost convective heat transfer.
This paper demonstrates that in fully developed homogeneous and isotropic turbulence, a Liouville spectral gap driven by velocity gradient bifurcations causes the statistical decoupling of Lagrangian and Eulerian descriptions, leading to rapid correlation decay, invariance of relative kinetic energy, and the derivation of nondiffusive closures for turbulence equations.