Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number F Borra, L Biferale, M Cencini, A Celani Physical Review Fluids 7 (2), 023103, 2022 | 31 | 2022 |
Effective models and predictability of chaotic multiscale systems via machine learning F Borra, A Vulpiani, M Cencini Physical Review E 102 (5), 052203, 2020 | 18 | 2020 |
Generalization from correlated sets of patterns in the perceptron F Borra, MC Lagomarsino, P Rotondo, M Gherardi Journal of Physics A: Mathematical and Theoretical 52 (38), 384004, 2019 | 14 | 2019 |
Optimal collision avoidance in swarms of active Brownian particles F Borra, M Cencini, A Celani Journal of Statistical Mechanics: Theory and Experiment 2021 (8), 083401, 2021 | 6 | 2021 |
Using machine-learning modeling to understand macroscopic dynamics in a system of coupled maps F Borra, M Baldovin Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (2), 023102, 2021 | 5 | 2021 |
Taming Lagrangian chaos with multi-objective reinforcement learning C Calascibetta, L Biferale, F Borra, A Celani, M Cencini The European Physical Journal E 46 (3), 1-11, 2023 | 3 | 2023 |
Supervised task learning via stimulation-induced plasticity in rate-based neural networks F Borra, S Cocco, R Monasson | | 2023 |
Optimal Control tools to minimize dispersion in turbulent flows C Calascibetta, L Biferale, F Borra, A Celani, M Cencini Bulletin of the American Physical Society, 2022 | | 2022 |