3 papers
physics.flu-dyn2025
Deterministic diffusion models for Lagrangian turbulence: robustness and encoding of extreme events
Tianyi Li, Flavio Tuteri, Michele Buzzicotti +2
Modeling Lagrangian turbulence remains a fundamental challenge due to its multiscale, intermittent, and non-Gaussian nature. Recent advances in data-driven diffusion models have en…
physics.flu-dyn2024
Generation of cosmic ray trajectories by a Diffusion Model trained on test particles in 3D magnetohydrodynamic turbulence
Johannes Martin, Jeremiah Lübke, Tianyi Li +3
Models for the transport of high energy charged particles through strong magnetic turbulence play a key role in space and astrophysical studies, such as describing the propagation…
physics.flu-dyn2024
Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models
Tianyi Li, Luca Biferale, Fabio Bonaccorso +2
We present a stochastic method for reconstructing missing spatial and velocity data along the trajectories of small objects passively advected by turbulent flows with a wide range…