| Overview of JET results for optimising ITER operation J Mailloux, N Abid, K Abraham, P Abreu, O Adabonyan, P Adrich, ... Nuclear Fusion 62 (4), 042026, 2022 | 109 | 2022 |
| Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions S Mazzi, J Garcia, D Zarzoso, YO Kazakov, J Ongena, M Dreval, ... Nature Physics 18 (7), 776-782, 2022 | 70 | 2022 |
| Disruption prediction with artificial intelligence techniques in tokamak plasmas J Vega, A Murari, S Dormido-Canto, GA Rattá, M Gelfusa Nature Physics 18 (7), 741-750, 2022 | 47 | 2022 |
| 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 | 41 | 2022 |
| Disruption prediction at JET through Deep Convolutional Neural Networks using spatiotemporal information from plasma profiles E Aymerich, G Sias, F Pisano, B Cannas, S Carcangiu, C Sozzi, C Stuart, ... Nuclear Fusion, 2022 | 37 | 2022 |
| A statistical approach for the automatic identification of the start of the chain of events leading to the disruptions at JET E Aymerich, A Fanni, G Sias, S Carcangiu, B Cannas, A Murari, A Pau Nuclear Fusion 61 (3), 036013, 2021 | 25 | 2021 |
| Overview of T and DT results in JET with ITER-like wall CF Maggi Nuclear Fusion, 2023 | 17 | 2023 |
| Performance comparison of machine learning disruption predictors at JET E Aymerich, B Cannas, F Pisano, G Sias, C Sozzi, C Stuart, P Carvalho, ... Applied Sciences 13 (3), 2006, 2023 | 11 | 2023 |
| CNN disruption predictor at JET: Early versus late data fusion approach E Aymerich, G Sias, F Pisano, B Cannas, A Fanni Fusion Engineering and Design 193, 113668, 2023 | 5 | 2023 |
| Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X A Puig Sitjes, M Jakubowski, J Fellinger, P Drewelow, Y Gao, H Niemann, ... 31st Symposium on Fusion Technology (SOFT 2020), 2020 | 5 | 2020 |
| A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors A Murari, R Rossi, T Craciunescu, J Vega, M Gelfusa Nature Communications 15 (1), 2424, 2024 | 4 | 2024 |
| Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X E Aymerich, F Pisano, B Cannas, G Sias, A Fanni, Y Gao, D Böckenhoff, ... Nuclear Materials and Energy 34, 101401, 2023 | 4 | 2023 |
| Overview of the first Wendelstein 7-X long pulse campaign with fully water-cooled plasma facing components O Grulke, C Albert, JAA Belloso, P Aleynikov, K Aleynikova, A Alonso, ... Nuclear Fusion 64 (11), 112002, 2024 | 3 | 2024 |
| Virtual reality experience for interior design engineering applications YM Anoffo, E Aymerich, D Medda 2018 26th Telecommunications Forum (TELFOR), 1-4, 2018 | 3 | 2018 |
| Extraction of the plasma current contribution from the numerically integrated magnetic signals in ISTTOK D Corona, A Torres, E Aymerich, A Cianciulli, A De Falco, BB Carvalho, ... Journal of Instrumentation 15 (02), C02020, 2020 | 2 | 2020 |
| MHD spectrogram contribution to disruption prediction using Convolutional Neural Networks E Aymerich, G Sias, S Atzeni, F Pisano, B Cannas, A Fanni, WPTE Team Fusion Engineering and Design 204, 114472, 2024 | 1 | 2024 |
| eXplainable artificial intelligence applied to algorithms for disruption prediction in tokamak devices L Bonalumi, E Aymerich, E Alessi, B Cannas, A Fanni, E Lazzaro, ... Frontiers in Physics 12, 1359656, 2024 | 1 | 2024 |
| Machine Learning and Deep Learning applications for the protection of nuclear fusion devices E Aymerich Università degli Studi di Cagliari, 2023 | 1 | 2023 |
| Analysis of synthetic light field data compression performances D Medda, E Aymerich, Y MirkoAnoffo 2018 26th Telecommunications Forum (TELFOR), 1-4, 2018 | 1 | 2018 |
| A self-organised partition of the high dimensional plasma parameter space for plasma disruption prediction E Aymerich, A Fanni, F Pisano, G Sias, B Cannas, JET Contributors, ... Nuclear Fusion 64 (10), 106063, 2024 | | 2024 |
