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 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 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 presents a perturbation-based frequency-response framework that unifies linear resolvent analysis and nonlinear interactions to explain how oblique-wave forcing generates and reinforces streamwise streaks, ultimately linking these mechanisms to the onset of secondary instability and subcritical transition in wall-bounded shear flows.
The paper introduces SCALE-TRACK, an open-source, asynchronous Euler-Lagrange particle tracking algorithm designed for heterogeneous exascale architectures that achieves unprecedented scalability by successfully simulating up to 256 billion particles across 256 GPUs while maintaining accuracy and efficiency.
The paper proposes the Dual-Scale Neural Operator (DSO), a novel architecture that decouples local feature extraction and global trend aggregation to effectively address the long-term stability and precision challenges in fluid dynamics forecasting, achieving state-of-the-art results with over 88% error reduction compared to existing methods.
This study utilizes CFD simulations with wall-modeled large eddy simulation to demonstrate that an impeller-driven intra-aortic pump outperforms single and triplet pump designs by achieving superior pressure head, hydraulic efficiency, and hemocompatibility, as evidenced by lower NIH values and a Hemolytic Number consistently below 1.