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.

Impact of magnetic field gradients on the development of the MRI: Applications to binary neutron star mergers and proto-planetary disks

This study demonstrates that strong magnetic field gradients in post-merger environments can significantly suppress or slow the magneto-rotational instability (MRI), limiting its ability to amplify poloidal magnetic fields to only specific regions and late times (t100t \gtrsim 100 ms) after a binary neutron star merger.

T. Celora, C. Palenzuela, D. Viganò, R. Aguilera-Miret2026-01-28🔭 astro-ph

Non-Newtonian viscous fluid models with learned rheology accurately reproduce Lagrangian sea ice simulations

This paper presents a machine learning framework that infers accurate, concentration-dependent non-Newtonian rheological models from discrete element method simulations, enabling efficient and precise large-scale Lagrangian sea ice modeling that captures complex behaviors like shear-thinning and shear-thickening across varying ice concentrations.

Gonzalo G. de Diego, Georg Stadler2026-01-28🔬 physics

Strain-transport superposition in shear-thinning dense non-Brownian suspensions

This study reveals that while macroscopic rheological properties in shear-thinning dense non-Brownian suspensions depend on specific particle interactions, the underlying particle-scale transport dynamics are universally governed by the imposed shear rate and nonaffine velocity fluctuations, leading to a strain-controlled ballistic-to-diffusive crossover that decouples microscopic kinematics from macroscopic stress.

Rishabh V. More2026-01-28🔬 cond-mat

A Hybrid Discretize-then-Project Reduced Order Model for Turbulent Flows on Collocated Grids with Data-Driven Closure

This study proposes a hybrid reduced-order modeling framework for turbulent flows on collocated grids that combines a consistent flux "discretize-then-project" strategy for mass and momentum conservation with an LSTM-based data-driven closure to accurately reconstruct turbulent viscosity, achieving superior performance in capturing transient dynamics compared to other neural network architectures.

Nadim Rooholamin, Kabir Bakhshaei, Giovanni Stabile2026-01-28🔢 math

Unveiling crown-finger instability of a non-spherical drop impacting a liquid surface

This study employs three-dimensional numerical simulations and linear stability analysis to reveal how non-spherical droplet morphology critically influences crown evolution and splash regimes, demonstrating that oblate drops promote finger fragmentation via enhanced rim deceleration while prolate drops favor canopy formation, with the resulting finger count being governed primarily by Rayleigh-Plateau instability and amplified by Rayleigh-Taylor instability.

Nagula Venkata Anirudh, Sachidananda Behera, Kirti Chandra Sahu2026-01-28🔬 physics

Extensions to the Navier-Stokes-Fourier Equations for Rarefied Transport: Variational Multiscale Moment Methods for the Boltzmann Equation

This paper presents a novel fourth-order entropy-stable extension of the Navier-Stokes-Fourier equations for rarefied gases, derived via a new variational multiscale moment closure of the Boltzmann equation that demonstrates remarkable accuracy in the transition regime and beyond when validated against linearized Boltzmann solutions.

F. A. Baidoo, I. M. Gamba, T. J. R. Hughes, M. R. A. Abdelmalik2026-01-27🔢 math-ph