physics.flu-dyn papers | Gist.Science

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.

Anisotropic Permeability Tensor Prediction from Porous Media Microstructure via Physics-Informed Progressive Transfer Learning with Hybrid CNN-Transformer

This paper introduces a physics-informed deep learning framework that combines a MaxViT hybrid CNN-Transformer architecture with progressive transfer learning and differentiable physical constraints to accurately and efficiently predict anisotropic permeability tensors from porous media microstructure images, achieving near-perfect accuracy while significantly outperforming traditional numerical simulations and supervised baselines.

Mohammad Nooraiepour2026-03-19🤖 cs.LG

Non-contact mechanics of soft and liquid interfaces by hydrodynamic confinement using a frequency-modulated AFM

This paper presents and validates a frequency-modulated atomic force microscopy technique that utilizes hydrodynamic confinement of a viscous liquid film to quantitatively measure the mechanical properties of soft and liquid interfaces in a non-contact manner.

Lucie Corral, Christian Curtil, Medhi Lagaize, Marc Leonetti, Hubert R. Klein2026-03-19🔬 cond-mat

Label-free quantitative imaging of two-dimensional concentration gradients using Fabry-Pérot interferometry

This paper introduces RIO, a label-free Fabry-Pérot interferometric tool that achieves high-precision, quantitative imaging of microscale two-dimensional concentration gradients in microfluidic systems without the need for molecular labeling.

Taieesa Peshkovsky, Stefan Andreas Schmid, David Taylor, Robert W. Style, Lucio Isa, Federico Paratore2026-03-19🔬 physics.optics

Coalescence of viscous blisters under an elastic sheet

This paper investigates the coalescence of identical viscous blisters beneath an elastic sheet through experiments, numerical simulations, and a one-dimensional lubrication model, revealing that short-time dynamics are primarily governed by the elastic sheet's bending, which establishes a specific relationship between coalescence speed and the interface's radius of curvature.

W-E. Khatla, L. Duchemin, A. Eddi, E. Reyssat2026-03-19🔬 physics

Hydrodynamics of dilation and spin currents

This paper formulates a relativistic hydrodynamic theory for fluids with spin and intrinsic dilation charges, deriving constitutive relations that reveal gapped dilation excitations and scale-anomaly-induced transport effects, which reduce to microstretch fluid dynamics in the nonrelativistic limit and apply to rapidly expanding or contracting nearly conformal systems.

Zhong-Hua Zhang, Xi-Hu Lv, Xu-Guang Huang2026-03-19⚛️ hep-th

Decoupled Divergence-Free Neural Networks Basis Method for Incompressible Fluid Problems

This paper proposes a Decoupled-DFNN method that utilizes curl-based representations and Gauss-Newton linearization to solve incompressible flow problems via sequential, independent subproblems for velocity and pressure, thereby strictly enforcing the divergence-free constraint while reducing computational costs.

Jinbao Cheng, Jianguo Huang, Haoqin Wang, Tao Zhou2026-03-19🔬 physics

Light-scattering reconstruction of transparent shapes using neural networks

This paper presents a high-resolution, single-camera method that combines rapid light-sheet scanning with a neural autoencoder incorporating isometricity constraints to accurately reconstruct the complex 3D deformations of transparent, crumpled sheets in flow.

Tymoteusz Miara, Draga Pihler-Puzovic, Matthias Heil, Anne Juel2026-03-18🔬 physics

Effects of Intrinsic Flame Instabilities on Nitrogen Oxide Formation in Laminar Premixed Ammonia/Hydrogen/Air Flames

This study utilizes direct numerical simulations to demonstrate that while intrinsic flame instabilities cause significant local variations in nitrogen oxide formation within lean ammonia/hydrogen/air flames—specifically increasing NO in positively curved regions and decreasing it in negatively curved ones—the overall mean NO concentration in the post-flame region remains consistent with one-dimensional predictions, driven primarily by radical concentration changes rather than temperature effects.

Terence Lehmann, Nikita Dimidziev, Thomas L. Howarth, Michael Gauding, Heinz Pitsch2026-03-18🔬 physics

Polarity transitions induced by symmetry-breaking outer boundary heat flux in rapidly rotating dynamos

This study demonstrates that an equatorially anti-symmetric lateral variation in outer boundary heat flux induces polarity transitions in rapidly rotating dynamos by suppressing slow MAC waves, whereas symmetric variations do not, implying that Earth's core likely requires a significant lower-mantle heat flux heterogeneity to explain its geomagnetic reversal history.

Debarshi Majumder, Binod Sreenivasan2026-03-18🔬 physics

Transition to the ultimate regime of turbulent convection in stratified inclined duct flow

Through high-resolution direct numerical simulations up to a Reynolds number of 8000, this study demonstrates that stratified inclined duct flow transitions to an ultimate turbulent regime characterized by enhanced transport scaling ( $\mathrm{Nu} \sim \mathrm{Ra}^{1/2}$ ) and logarithmic velocity profiles via a subcritical, hysteretic mechanism, thereby bridging the gap between laboratory limitations and realistic geophysical mixing conditions.

Rundong Zhou, Adrien Lefauve, Roberto Verzicco, Detlef Lohse2026-03-18🔬 physics

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