492 citations · 9.4k across the 216 of their papers we have counts for
9 papers · 2 filters
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…
Enhanced Gas Source Localization Using Distributed IoT Sensors and Bayesian Inference
Leonardo Balocchi, Lorenzo Piro, Luca Biferale +5
Identifying a gas source in turbulent environments presents a significant challenge for critical applications such as environmental monitoring and emergency response. This issue is…
Solver-in-the-loop approach to closure of shell models of turbulence
André Freitas, Kiwon Um, Mathieu Desbrun +2
This work studies an a posteriori data-driven approach (known as solver-in-the-loop) for sub-grid modeling of a shell model for turbulence. This approach takes advantage of the dif…
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…
Optimal trajectories for Bayesian olfactory search in turbulent flows: the low information limit and beyond
Robin A. Heinonen, Luca Biferale, Antonio Celani +1
In turbulent flows, tracking the source of a passive scalar cue requires exploiting the limited information that can be gleaned from rare, stochastic encounters with the cue. When…
Many wrong models approach to localize an odor source in turbulence with static sensors
Lorenzo Piro, Robin A. Heinonen, Massimo Cencini +1
The problem of locating an odor source in turbulent flows is central to key applications such as environmental monitoring and disaster response. We address this challenge by design…
Generative diffusion models for synthetic trajectories of heavy and light particles in turbulence
Tianyi Li, Samuele Tommasi, Michele Buzzicotti +2
Heavy and light particles are commonly found in many natural phenomena and industrial processes, such as suspensions of bubbles, dust, and droplets in incompressible turbulent flow…
TURB-Hel: an open-access database of helically forced homogeneous and isotropic turbulence
Luca Biferale, Fabio Bonaccorso, Moritz Linkmann +1
We present TURB-Hel, a database formed by two datasets of incompressible homogeneous and isotropic turbulence, maintained in a statistically stationary state by fully helical forci…
Extreme statistics and extreme events in dynamical models of turbulence
Xander M. de Wit, Giulio Ortali, Alessandro Corbetta +3
We present a study of the intermittent properties of a shell model of turbulence with unprecedented statistics, about eddy turn over time, achieved thanks to an impleme…