1274 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 presents a novel volume penalization technique that uses a perturbation approach to efficiently and accurately simulate acoustically-actuated flows in complex microchannels by segregating the problem into harmonic first-order and time-averaged second-order systems.
This paper proposes a novel experimental method to fully resolve the three-dimensional rotational motion of small, light, magnetic particles using only 2D images from a single camera, enabling the study of particle dynamics under the combined influence of turbulence and external magnetic forcing.
Using numerical simulations of exact equations for ideal fluid flows, this paper demonstrates that nonlinear wavepackets undergo compression and form transient, soliton-like standing waves when undergoing Bragg reflection from a non-uniform, periodically structured bottom, particularly near the upper edge of the spectral gap.
This study investigates the variable-density mixing dynamics in shock-bubble interactions by developing a modified mixing model that accounts for how secondary baroclinic stretching and density-driven diffusion suppression alter the algebraic stretching of scalar strips.
This paper demonstrates that in rotating 3D turbulence, near-resonant interactions between 3D inertial waves and large-scale 2D flows create an emergent conservation law that drives energy into 2D structures, though increasing rotation eventually suppresses this transfer and triggers a transition back to 3D-dominated turbulence.
The paper proposes a three-tier machine learning framework that uses Diffusion Maps to extract latent representations, SINDy or MVAR to learn reduced-order models, and k-NN-based interpolation for reconstruction, enabling the accurate and mass-preserving prediction of complex, mass-constrained spatio-temporal dynamics without explicitly identifying the underlying partial differential equations.
This paper demonstrates that a hybrid genetic algorithm can be used in an experiment-in-the-loop setup to identify an energy-efficient, multi-faceted pulsed jet actuation strategy that reduces the aerodynamic drag of a bluff body by approximately 8.8% through wake stabilization.
This paper develops a new three-parameter family of self-similar fluid model solutions to classify the diverse dynamical regimes of heated plasma expansion into vacuum, providing scaling relations to predict density and temperature distributions in high-intensity laser-plasma interactions.
This study investigates how partial thermal stable stratification, rotation, and horizontal magnetic fields interact to influence the onset, scale, and penetration depth of magnetoconvection in a plane layer, revealing that stable stratification promotes earlier onset and smaller-scale flows, particularly in rotation-dominated regimes.
This study numerically demonstrates how controlling the evaporation regime (reaction-limited vs. diffusion-limited) and filament properties (length, stiffness, and concentration) can manipulate deposition patterns and alignment to optimize the morphology and electrical conductivity of printed conductive networks.