| Comparative analysis of machine learning methods for active flow control F Pino, L Schena, J Rabault, MA Mendez Journal of Fluid Mechanics 958, A39, 2023 | 55 | 2023 |
| Modulo: A python toolbox for data-driven modal decomposition R Poletti, L Schena, D Ninni, MA Mendez Journal of Open Source Software 9 (102), 6753, 2024 | 6 | 2024 |
| Reinforcement twinning: From digital twins to model-based reinforcement learning L Schena, PA Marques, R Poletti, S Ahizi, J Van den Berghe, MA Mendez Journal of Computational Science 82, 102421, 2024 | 5 | 2024 |
| Control of a wind-turbine via machine learning techniques L Schena, E Gillyns, W Munters, S Buckingham, MA Mendez arXiv preprint arXiv:2207.06206, 2022 | 3 | 2022 |
| Wind Turbine Control using Machine Learning techniques L Schena, E Gillyns, W Munters, S Buckingham, MA Mendez ECCOMAS Congress 2022-8th European Congress on Computational Methods in …, 2022 | 1 | 2022 |
| Implementation and Comparative Analysis of Machine Learning Methods for the closed-loop control of fluid flows L Schena Politecnico di Torino, 2021 | | 2021 |
Miguel Alfonso Mendezvon Karman Institute for Fluid Dynamics確認したメール アドレス: vki.ac.be