| Experimental confirmation of efficient island divertor operation and successful neoclassical transport optimization in Wendelstein 7-X TS Pedersen, I Abramovic, P Agostinetti, MA Torres, S Äkäslompolo, ... Nuclear Fusion 62 (4), 042022, 2022 | 44 | 2022 |
| Machine learning and Bayesian inference in nuclear fusion research: an overview A Pavone, A Merlo, S Kwak, J Svensson Plasma Physics and Controlled Fusion 65 (5), 053001, 2023 | 27 | 2023 |
| Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios A Merlo, D Böckenhoff, J Schilling, U Höfel, S Kwak, J Svensson, ... Nuclear Fusion 61 (9), 096039, 2021 | 19 | 2021 |
| Physics-regularized neural network of the ideal-MHD solution operator in Wendelstein 7-X configurations A Merlo, D Böckenhoff, J Schilling, SA Lazerson, TS Pedersen Nuclear Fusion 63 (6), 066020, 2023 | 2 | 2023 |
| Accelerated Bayesian inference of plasma profiles with self-consistent MHD equilibria at W7-X via neural networks A Merlo, A Pavone, D Böckenhoff, E Pasch, G Fuchert, KJ Brunner, ... Journal of Instrumentation 18 (11), P11012, 2023 | | 2023 |
| Physics-informed neural network of the ideal-MHD model in Wendelstein 7-X configurations A Merlo, D Böckenhoff, J Schilling, SA Lazerson, TS Pedersen DPG-Frühjahrstagung der Fachverbände Physik der Hadronen und Kerne …, 2021 | | 2021 |
| Fast neural network surrogates for VMEC MHD equilibrium code A Merlo, D Böckenhoff, TS Pedersen DPG, 2019 | | 2019 |
