| Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks K Shukla, PC Di Leoni, J Blackshire, D Sparkman, GE Karniadakis Journal of Nondestructive Evaluation 39, 1-20, 2020 | 122 | 2020 |
| Zermelo’s problem: optimal point-to-point navigation in 2D turbulent flows using reinforcement learning L Biferale, F Bonaccorso, M Buzzicotti, P Clark Di Leoni, K Gustavsson Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (10), 103138, 2019 | 71 | 2019 |
| Quantification of the strength of inertial waves in a rotating turbulent flow P Clark di Leoni, PJ Cobelli, PD Mininni, P Dmitruk, WH Matthaeus Physics of Fluids (1994-present) 26 (3), 035106, 2014 | 64 | 2014 |
| Helicity, topology, and Kelvin waves in reconnecting quantum knots P Clark di Leoni, PD Mininni, ME Brachet Physical Review A 94 (4), 043605, 2016 | 57 | 2016 |
| Synchronization to big-data: nudging the Navier-Stokes equations for data assimilation of turbulent flows P Clark Di Leoni, A Mazzino, L Biferale arXiv preprint arXiv:1905.05860, 2019 | 54* | 2019 |
| Inferring flow parameters and turbulent configuration with physics-informed data assimilation and spectral nudging P Clark Di Leoni, A Mazzino, L Biferale Physical Review Fluids 3 (10), 104604, 2018 | 45* | 2018 |
| Two-point stress–strain-rate correlation structure and non-local eddy viscosity in turbulent flows PC Di Leoni, TA Zaki, G Karniadakis, C Meneveau Journal of Fluid Mechanics 914, A6, 2021 | 43 | 2021 |
| The spatio-temporal spectrum of turbulent flows P Clark di Leoni, PJ Cobelli, PD Mininni The European Physical Journal E 38 (12), 136, 2015 | 42 | 2015 |
| Dual cascade and dissipation mechanisms in helical quantum turbulence P Clark di Leoni, PD Mininni, ME Brachet Physical Review A 95 (5), 053636, 2017 | 37 | 2017 |
| Deeponet prediction of linear instability waves in high-speed boundary layers PC Di Leoni, L Lu, C Meneveau, G Karniadakis, TA Zaki arXiv preprint arXiv:2105.08697, 2021 | 31 | 2021 |
| Quantitative estimation of effective viscosity in quantum turbulence V Shukla, PD Mininni, G Krstulovic, PC Di Leoni, ME Brachet Physical Review A 99 (4), 043605, 2019 | 29 | 2019 |
| Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database M Buzzicotti, F Bonaccorso, PC Di Leoni, L Biferale Physical Review Fluids 6 (5), 050503, 2021 | 28 | 2021 |
| Interplay between Alfvén and magnetosonic waves in compressible magnetohydrodynamics turbulence N Andrés, P Clark Di Leoni, PD Mininni, P Dmitruk, F Sahraoui, ... Physics of Plasmas 24 (10), 102314, 2017 | 26 | 2017 |
| Spatiotemporal detection of Kelvin waves in quantum turbulence simulations P Clark di Leoni, PD Mininni, ME Brachet Physical Review A 92 (6), 063632, 2015 | 25 | 2015 |
| Absorption of waves by large-scale winds in stratified turbulence P Clark di Leoni, PD Mininni Physical Review E 91 (3), 033015, 2015 | 25 | 2015 |
| Synchronizing subgrid scale models of turbulence to data M Buzzicotti, P Clark Di Leoni Physics of Fluids 32 (12), 125116, 2020 | 18 | 2020 |
| Phase transitions and flux-loop metastable states in rotating turbulence PC Di Leoni, A Alexakis, L Biferale, M Buzzicotti Physical Review Fluids 5 (10), 104603, 2020 | 13 | 2020 |
| Quantifying resonant and near-resonant interactions in rotating turbulence P Clark di Leoni, PD Mininni Journal of Fluid Mechanics 809, 821-842, 2016 | 13 | 2016 |
| Wave turbulence in shallow water models P Clark di Leoni, PJ Cobelli, PD Mininni Physical Review E 89 (6), 063025, 2014 | 13 | 2014 |
| Optimal control of point-to-point navigation in turbulent time dependent flows using reinforcement learning M Buzzicotti, L Biferale, F Bonaccorso, P Clark di Leoni, K Gustavsson AIxIA 2020–Advances in Artificial Intelligence: XIXth International …, 2021 | 12 | 2021 |
Luca BiferaleProfessor, University of Tor Vergata & INFN, RomeVerified email at roma2.infn.it
