1011 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 a computational model of a carangiform swimmer with a passively pitching caudal fin, regulated by a nonlinear torsional spring, can synchronize with body undulations to generate efficient thrust-producing vortices, offering a biologically inspired strategy for optimizing underwater robotic design through passive kinematics.
This paper presents a unified real-time framework for simulating inviscid fluid dynamics and aeroacoustics on spherical surfaces with obstacles by combining the Closest Point Method, projection-based solvers, and the FWH analogy to achieve stable, high-order accuracy for applications in visualization and virtual reality.
This paper presents a novel nonlinear projection-based model order reduction framework that utilizes Gaussian process regression and radial basis function interpolation to model closure errors in the latent space, offering improved efficiency, interpretability, and data efficiency compared to deep neural network approaches in complex fluid dynamics applications.
This study utilizes direct numerical and kinematic dynamo simulations to demonstrate that a stably-stratified layer beneath the core-mantle boundary enhances dipolar field strength, delays the transition to multipolar states, and facilitates magnetic reversals by acting as a conducting boundary layer that equalizes dipole and quadrupole growth rates, while heterogeneous heat flux patterns can further induce complex dynamo behaviors like hemispheric dynamos and polarity flips.
This paper establishes a unified dimensionless framework that links particle size distributions and dual-porosity flow structures to Damköhler number distributions, enabling accurate scaling of reacting porous-flow systems from laboratory columns to industrial heaps by accounting for how microscopic heterogeneities break dynamic similarity.
This paper rigorously proves the existence of a critical Taylor number for Couette-Taylor instability in the small-gap limit and demonstrates that, just above this threshold, the flow is governed by a Ginzburg-Landau equation that supports a two-parameter family of steady solutions, including both wavy vortices and other exotic flow patterns.
This paper introduces X-CAL, a pipeline combining -VAE, SURD, and SHAP to interpret low-dimensional latent representations of turbulent flows by quantifying causal interactions and mapping them back to coherent physical structures in wall-mounted cylinder flows.
This paper establishes a fundamental connection between elastic and active turbulence by demonstrating that their continuum descriptions are analogous, revealing that polymeric fluids behave as deformable analogues of contractile active matter where the transition to chaotic flow is driven by the emergence of topological defects and activity-like gradients.
This study utilizes high-fidelity two-way coupled fluid-structure interaction simulations to demonstrate that introducing porosity into tandem elastic vortex generators fundamentally alters their dynamic behavior by suppressing cavity-driven instabilities, shifting mode transitions, and passively modulating wake dynamics through reduced oscillation amplitudes and altered drag characteristics.
This paper formulates the identification of active forces in actomyosin systems as an inverse source problem for the Stokes equation, providing a rigorous mathematical framework and regularization methods to reconstruct forces from incomplete optical microscopy data in both confined and non-confined settings.