Magnetic control of tokamak plasmas through deep reinforcement learning J Degrave, F Felici, J Buchli, M Neunert, B Tracey, F Carpanese, T Ewalds, ... Nature 602 (7897), 414-419, 2022 | 644 | 2022 |
Physics research on the TCV tokamak facility: from conventional to alternative scenarios and beyond S Coda, M Agostini, R Albanese, S Alberti, E Alessi, S Allan, J Allcock, ... Nuclear Fusion 59 (11), 112023, 2019 | 78 | 2019 |
Dependence on plasma shape and plasma fueling for small edge-localized mode regimes in TCV and ASDEX Upgrade B Labit, T Eich, GF Harrer, E Wolfrum, M Bernert, MG Dunne, L Frassinetti, ... Nuclear fusion 59 (8), 086020, 2019 | 54 | 2019 |
Control of neoclassical tearing modes and integrated multi-actuator plasma control on TCV M Kong, TC Blanken, F Felici, C Galperti, E Maljaars, O Sauter, T Vu, ... Nuclear Fusion 59 (7), 076035, 2019 | 31 | 2019 |
Improved Plasma Vertical Position Control on TCV Using Model-Based Optimized Controller Synthesis F Pesamosca, F Felici, S Coda, C Galperti, TCV Team Fusion Science and Technology 78 (6), 427-448, 2022 | 9 | 2022 |
Model-based optimization of magnetic control in the TCV tokamak: design and experiments F Pesamosca EPFL, 2021 | 1 | 2021 |
Improved vertical control by optimal actuator selection on TCV F Pesamosca, F Felici, S Coda, C Galperti, TCV Team APS Division of Plasma Physics Meeting Abstracts 2020, NP15. 003, 2020 | | 2020 |
Decoupling shape and position control on TCV F Pesamosca, F Felici, S Coda APS Division of Plasma Physics Meeting Abstracts 2019, GP10. 098, 2019 | | 2019 |