🔬 Category

physics.flu-dyn

1255 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.

Turbulence generation and data assimilation in wall-bounded flows with a latent diffusion model

This paper presents a generative framework combining a β\beta-variational autoencoder with a transformer-based diffusion model to achieve high-compression, real-time probabilistic reconstruction and data assimilation of wall-bounded turbulent flows, demonstrating the ability to reproduce complex statistical properties while highlighting the inherent trade-off between enforcing statistical constraints and preserving physical fidelity.

Fabian Steinbrenner, Baris Turan, Hao Teng, Heng Xiao2026-03-05🔬 physics

Prediction of Extreme Events in Multiscale Simulations of Geophysical Turbulence using Reinforcement Learning

This paper introduces SMARL, a reinforcement learning framework that uses enstrophy spectrum-based rewards to develop stable, data-efficient subgrid-scale closures for geophysical turbulence, enabling accurate prediction of extreme events with significantly reduced computational costs.

Yifei Guan, Lucas Amoudruz, Sergey Litvinov, Karan Jakhar, Rambod Mojgani, Petros Koumoutsakos, Pedram Hassanzadeh2026-03-05🔬 physics

Separation induced transition in a low pressure turbine under varying compressibility

This study utilizes high-fidelity direct numerical simulations to demonstrate that increasing inlet Mach numbers in a low-pressure turbine cascade systematically reduces separation bubble sizes and accelerates transition to turbulence, yet paradoxically increases profile losses by altering the transition pathway from spanwise rolls to streak-dominated bypass mechanisms.

Priya Pal, Abhijeet Guha, Aditi Sengupta2026-03-05🔬 physics

Impact of perturbed eddy-viscosity modeling on stability and shape sensitivity of the hydro-turbine vortex rope using linearized Reynolds-averaged Navier-Stokes equations

This study demonstrates that consistently linearizing the eddy-viscosity turbulence model is essential for accurately capturing shape sensitivities of hydro-turbine vortex ropes, as neglecting these perturbations leads to incorrect sensitivity trends despite having minimal impact on the global mode's eigenvalues and eigenmodes.

Jens S. Müller, Sophie J. Knechtel, Kilian Oberleithner2026-03-05🔬 physics

An analytical-numerical coupled model of liquid droplet impact on solid material surfaces

This study presents an analytical-numerical coupled model that combines a closed-form analytical solution for droplet impact pressure with finite-element simulations of solid response, achieving over 97% computational cost reduction compared to traditional SPH methods while accurately predicting erosion-relevant quantities like peak pressure and impact force.

Hao Hao, Maria N. Charalambides, Yannis Hardalupas, Antonis Sergis, Alex M. K. P. Taylor2026-03-05🔬 physics

Evaluation of the performance of an analytical-numerical coupled method for droplet impacts on soft material surfaces

This study evaluates the performance of an analytical-numerical coupled model (ANCM) for droplet impacts on soft materials, revealing that while the model remains accurate for surfaces with a Young's modulus of 47,400 Pa or higher, it significantly overestimates impact forces and deformation for softer materials below a critical threshold of 10,000 Pa due to its rigid-surface assumption.

Hao Hao, Antonis Sergis, Alex M. K. P. Taylor, Yannis Hardalupas, Maria N. Charalambides2026-03-05🔬 physics

A Multi-Fidelity Parametric Framework for Reduced-Order Modeling using Optimal Transport-based Interpolation: Applications to Diffused-Interface Two-Phase Flows

This paper presents a non-intrusive, multi-fidelity reduced-order modeling framework that utilizes Optimal Transport-based displacement interpolation to efficiently correct low-fidelity models and construct accurate parametric surrogates for complex, nonlinear two-phase flow simulations.

Moaad Khamlich, Niccolò Tonicello, Federico Pichi, Gianluigi Rozza2026-03-05🔬 physics