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.

Low Regularity of Self-Similar Solutions of Two-Dimensional Riemann problems with Shocks for the Isentropic Euler system

This paper establishes a general framework demonstrating that self-similar solutions to two-dimensional Riemann problems for the isentropic Euler system with shocks generally exhibit low regularity, specifically that the velocity field fails to belong to $H^1$ and may be discontinuous in the subsonic domain, thereby revealing a significantly more complex structure than solutions for potential flow.

Gui-Qiang G. Chen, Mikhail Feldman, Wei Xiang2026-02-27🌀 nlin

Modelling laminar flow in V-shaped filters integrated with catalyst technologies for atmospheric pollutant removal

This study develops and validates a predictive long-wave model for V-shaped filters integrated with catalytic technologies, demonstrating that while optimizing filter geometry creates a trade-off between flow rate and removal efficiency, large-scale deployment of these systems could significantly mitigate atmospheric pollution at a feasible cost.

Samuel D. Tomlinson, Aliki M. Tsopelakou, Tzia M. Onn, Steven R. H. Barrett, Adam M. Boies, Shaun D. Fitzgerald2026-02-27🔬 physics

Laminar boundary layers over small-scale textured surfaces

This paper presents a comprehensive modeling framework combining asymptotic analysis and numerical methods to predict how small-scale surface textures, characterized by slip lengths, modify laminar boundary layer properties such as velocity, shear stress, and stability, thereby enabling efficient drag and transition predictions for diverse applications from microfluidics to marine transport.

Samuel D. Tomlinson, Demetrios T. Papageorgiou2026-02-27🔬 physics

Tensor Network Lattice Boltzmann Method for Data-Compressed Fluid Simulations

This paper introduces a generalized Matrix Product State (MPS) formulation for the Lattice Boltzmann Method that enables high-fidelity, data-compressed simulations of unsteady fluid flows in complex geometries by exploiting non-local correlations to achieve compression ratios exceeding two orders of magnitude without modifying the underlying grid.

Lukas Gross, Elie Mounzer, David M. Wawrzyniak, Josef M. Winter, Nikolaus A. Adams2026-02-27⚛️ quant-ph

Maximum Likelihood Particle Tracking in Turbulent Flows via Sparse Optimization

This paper introduces a novel maximum likelihood estimation framework utilizing sparse optimization and an iteratively reweighted least squares algorithm to accurately track particles in turbulent flows, effectively recovering heavy-tailed acceleration statistics and outperforming existing Gaussian-based methods by preserving the physical intermittency inherent in high-Reynolds-number turbulence.

Griffin M Kearney, Kasey M Laurent, Makan Fardad2026-02-27🔬 physics

Kelvin wave and soliton propagation in classical viscous vortex filaments

This paper uses numerical simulations of the three-dimensional incompressible Navier-Stokes equations to demonstrate that Kelvin waves in classical viscous vortex filaments align with Lord Kelvin's predictions, while also revealing the existence and collision dynamics of solitons and proposing a feasible experimental method for their generation.

Elio Sterkers, Giorgio Krstulovic2026-02-27🌀 nlin

Viscous vortex crystals

This paper investigates the evolution of two-dimensional incompressible Navier-Stokes solutions initialized as polygonal vortex crystals, with or without a central vortex, by leveraging symmetry and stability to characterize their behavior up to sub-diffusive time scales before vortex merging occurs.

Michele Dolce, Martin Donati2026-02-27🔢 math

Rheological properties and shear-induced structures of ferroelectric nematic liquid crystals

This study investigates the rheological properties and shear-induced structural transitions of three ferroelectric nematic liquid crystals, revealing distinct shear-rate-dependent viscosity behaviors, flow-alignment regimes, and the unique tendency of the polarization vector to remain parallel to the shear direction to avoid splay deformations.

Ashish Chandra Das, Sathyanarayana Paladugu, Oleg D. Lavrentovich2026-02-27🔬 cond-mat

On the spatial structure and intermittency of soot in a lab-scale gas turbine combustor: Insights from large-eddy simulations

This study utilizes large-eddy simulations to investigate the spatial structure and intermittency of soot in a swirl-stabilized ethylene flame, identifying flow recirculation and flame-vortex interactions as key drivers while comparing the performance and cost of on-the-fly versus pre-tabulated soot modeling approaches.

Leonardo Pachano, Daniel Mira, Abhijit Kalbhor, Jeroen van Oijen2026-02-27🔬 physics

From synthetic turbulence to true solutions: A deep diffusion model for discovering periodic orbits in the Navier-Stokes equations

This paper demonstrates that a generative diffusion model, trained on turbulent Navier-Stokes data and modified to enforce physical symmetries, can discover and refine 111 previously unknown short-period orbits, establishing generative AI as a powerful complementary tool for exploring the complex solution spaces of nonlinear dynamical systems.

Jeremy P Parker, Tobias M Schneider2026-02-27🌀 nlin

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