activity
19932025
most citedGeneralized Lattice Boltzmann Method with multi-range pseudo-potential

492 citations · 9.4k across the 216 of their papers we have counts for

collaborators

220 papers

physics.flu-dyn2025

Intermittency suppression in turbulence via forced light particles

André Freitas, Xander M. de Wit, Ziqi Wang +2

We investigate how turbulence is reshaped by the presence of externally forced light particles, using high-resolution direct numerical simulations with four-way coupling. The parti…

physics.flu-dyn2025★ 2 cited

Policy heterogeneity improves collective olfactory search in 3-D turbulence

Lorenzo Piro, Robin A. Heinonen, Maurizio Carbone +2

We investigate the role of policy heterogeneity in enhancing the olfactory search capabilities of cooperative agent swarms operating in complex, real-world turbulent environments.…

physics.flu-dyn2025

Exploring Bayesian olfactory search in realistic turbulent flows

Robin A. Heinonen, Luca Biferale, Antonio Celani +1

The problem of tracking the source of a passive scalar in a turbulent flow is relevant to flying insect behavior and several other applications. Extensive previous work has shown t…

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

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…

physics.flu-dyn2024★ 2 cited

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…