🔬 Category

physics.flu-dyn

1210 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.

Haematocrit and Shear Rate Modulate Local Cell-free Layer Thickness and Platelet Margination in Blood Flow Along a Sinusoidal Wall

This study utilizes 3D simulations to demonstrate that hematocrit levels and local shear rates modulate cell-free layer thickness and platelet margination along sinusoidal walls, revealing that low hematocrit promotes platelet accumulation at crests while higher hematocrit leads to uniform distribution, thereby offering mechanistic insights into the coupled evolution of vessel topography and thrombosis.

Eleonora Pero, Giovanna Tomaiuolo, Stefano Guido, Claire Denham, Timm Krueger2026-04-08🧬 q-bio

Aggregation Effects on Heat Transfer in Viscoplastic Nanofluid Entrance Flows

This study numerically investigates heat transfer enhancement in laminar viscoplastic nanofluid entrance flows within a heated circular cylinder by comparing non-aggregated and aggregated nanoparticle models, analyzing the impacts of yield stress and volume fraction on friction, pressure drop, and thermal performance to determine optimal efficiency.

Deepa Madivalar, Vishwanath Kadaba Puttanna, A Kandasamy2026-04-08🔬 physics

Multiscale Physics-Informed Neural Network for Complex Fluid Flows with Long-Range Dependencies

The paper proposes the Domain-Decomposed and Shifted Physics-Informed Neural Network (DDS-PINN), a framework that effectively resolves multiscale fluid flow dynamics with long-range dependencies by combining localized networks with a unified global loss, achieving high accuracy in both laminar and turbulent Navier-Stokes simulations with minimal or no supervision data.

Prashant Kumar, Rajesh Ranjan2026-04-08🔬 physics

Asymptotic models for viscoelastic one-dimensional blood flow

This paper derives and analyzes a unidirectional asymptotic model for one-dimensional blood flow in viscoelastic arteries, establishing local well-posedness of strong solutions, proving global existence and exponential decay in the purely elastic regime for small data, and providing a numerical study of the model's dynamics across various viscoelastic and amplitude regimes.

Diego Alonso-Orán, Rafael Granero-Belinchón, Carlos Yanes Pérez2026-04-08🔢 math-ph

Long distance attraction between particles in a soap film

This study demonstrates that millimeter-sized particles trapped in a horizontal soap film experience an extremely long-ranged, non-reciprocal attraction caused by interface deformation, where the interaction force's magnitude and direction depend on the particles' positions relative to the film boundaries, leading to intricate orbital dynamics before collision.

Youna Louyer, Megan Delens, Nicolas Vandewalle, Benjamin Dollet, Isabelle Cantat, Anaïs Gauthier2026-04-08🔬 cond-mat