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.

Closure-channel identifiability and two-channel recovery in monatomic kinetic normal shocks

This paper demonstrates that while heat-flux residuals alone cannot uniquely identify the fourth-order closure variables in monatomic kinetic normal shocks due to a one-dimensional null space, combining them with a sparse scalar-excess budget enables accurate two-channel reconstruction of the tensorial anisotropy and isotropic tail intensity, significantly reducing recovery errors across various collision models.

Ehsan Roohi2026-06-12🔭 astro-ph

Feature-preserving Latent-EnKF for Data Assimilation of Flows with Shocks

This paper introduces a feature-preserving latent-EnKF that overcomes the Gaussian assumption limitations of traditional ensemble Kalman filters in compressible flows by performing ensemble updates in a learned low-dimensional latent space, thereby accurately recovering shocks and discontinuities without spurious oscillations.

Hemanth Chandravamsi, Hangchuan Hu, Ponkrshnan Thiagarajan, Tamer A. Zaki2026-06-12🔬 physics

Hydrodynamic Resistance on Oscillating Planar Interfacial Bodies

This paper combines theoretical scaling arguments with magnetic actuation experiments to characterize the unsteady hydrodynamic resistance of oscillating planar bodies at an air-water interface, demonstrating that effective added mass and damping coefficients align with oscillatory Stokes boundary-layer theory while accurately predicting transient startup behavior via history integrals.

Ian Ho, Ajay Harishankar Kumar, Daniel M. Harris2026-06-12🔬 physics

Two pathways to diapycnal mixing in strongly stratified flows with no initial vertical shear

This study combines linear theory and direct numerical simulations to reveal that in strongly stratified flows with no initial vertical shear, horizontal shear instabilities inevitably drive diapycnal mixing through two distinct pathways—either via direct emergence of vertical shear or through a nonlinear evolution into columnar vortices—both of which ultimately trigger small-scale Kelvin-Helmholtz instabilities but yield different mixing efficiencies due to their excitation of distinct vertical scales.

Pascale Garaud, Dante Buhl, Jason Johnstone, Arstanbek Tulekeyev, Nathan van Duker2026-06-12🔬 physics

Longitudinal particle separation

This paper proposes a novel microfluidic separation method that utilizes elliptically wound ducts with periodically varying curvature to induce longitudinal particle clustering and size-based separation via SNIPER bifurcations, offering a distinct alternative to conventional cross-sectional inertial focusing.

Siluvai Antony Selvan, Rahil N Valani, Brendan Harding, Yvonne M Stokes2026-06-12🔬 physics

Foundations of Practical Quantum Advantage in Quantum-Informed Machine Learning for Predicting Chaos

This paper establishes a theoretical and experimental framework for practical quantum advantage in machine learning for chaotic systems, demonstrating that a two-copy quantum read-out protocol using higher-order quantum statistical priors can efficiently extract complex correlations and significantly improve weather forecasting accuracy compared to classical methods, even on current noisy hardware.

Maida Wang, Xiao Xue, Minh Chung, Peter V. Coveney2026-06-12⚛️ quant-ph

A beam--membrane biomechanical vocal fold model incorporating posturing and glottal conformation

This paper introduces a computationally efficient beam-membrane biomechanical model of vocal folds that incorporates muscle-driven posturing and glottal conformation to predict voice production dynamics and investigate voice disorders, offering a practical alternative to expensive high-fidelity simulations.

Mohamed A. Serry, Matías Zañartu, Sean D. Peterson2026-06-12⚡ eess

Ultimate regime in Rayleigh-Darcy Convection

Direct numerical simulations of Rayleigh-Darcy convection in a 3D porous domain reveal that while heat transfer scales linearly with the Rayleigh number across the investigated range, a distinct transition to an "ultimate regime" occurs around $Ra \approx 4\times10^5$ , characterized by the formation of finer near-wall protoplumes that merge into megaplumes, a shift in thermal dissipation from the boundary layer to the bulk, and a change in the scaling slope of the Nusselt number.

Garima Varshney, Anikesh Pal, Narsimha Reddy Rapaka2026-06-12🔬 physics

Limits of constant-parameter constitutive models for hydrogels under inertial cavitation

This study demonstrates that time-resolved parameter estimation using inertial microcavitation rheometry reveals the insufficiency of constant-parameter constitutive models for describing hydrogel behavior under high strain rates, as inferred shear modulus and viscosity exhibit significant temporal evolution and temperature dependence during bubble dynamics.

Tianyi Chu, Joseph Beckett, Zhiren Zhu, Jonathan B. Estrada, Spencer H. Bryngelson2026-06-12🔬 cond-mat

Effects of mean flow skew on turbulent shear layers. Part II. Experimental investigation

This experimental study demonstrates that while mean-flow skew significantly reduces the magnitude of mean and turbulent quantities in planar mixing layers by up to 40%, it exerts only a secondary influence on their fundamental dynamics, preserving key characteristics such as similarity scaling and Townsend's structure parameter.

Dipendra Gupta, Vedant Kumar, Johan Larsson, Gregory P. Bewley2026-06-12🔬 physics