| An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques N Demo, G Ortali, G Gustin, G Rozza, G Lavini Bollettino dell'Unione Matematica Italiana 14, 211-230, 2021 | 27 | 2021 |
| A Gaussian process regression approach within a data-driven POD framework for engineering problems in fluid dynamics G Ortali, N Demo, G Rozza Mathematics in Engineering 4 (3), 1-16, 2022 | 26* | 2022 |
| Numerical proof of shell model turbulence closure G Ortali, A Corbetta, G Rozza, F Toschi Physical Review Fluids 7 (8), L082401, 2022 | 4* | 2022 |
| A data-driven reduced order optimization approach for Cruise ship design G Ortali Politecnico di Torino, 2019 | 3 | 2019 |
| Kinetic data-driven approach to turbulence subgrid modeling G Ortali, A Gabbana, N Demo, G Rozza, F Toschi arXiv preprint arXiv:2403.18466, 2024 | | 2024 |
| Extreme statistics and extreme events in dynamical models of turbulence XM de Wit, G Ortali, A Corbetta, AA Mailybaev, L Biferale, F Toschi arXiv preprint arXiv:2402.02994, 2024 | | 2024 |
