• Media type: E-Article
  • Title: Disruption prediction with artificial intelligence techniques in tokamak plasmas
  • Contributor: Vega, J.; Murari, A.; Dormido-Canto, S.; Rattá, G. A.; Gelfusa, M.; Mailloux, J.; Abid, N.; Abraham, K.; Abreu, P.; Adabonyan, O.; Adrich, P.; Afanasev, V.; Afzal, M.; Ahlgren, T.; Aho-Mantila, L.; Aiba, N.; Airila, M.; Akhtar, M.; Albanese, R.; Alderson-Martin, M.; Alegre, D.; Aleiferis, S.; Aleksa, A.; Alekseev, A. G.; [...]
  • Published: Springer Science and Business Media LLC, 2022
  • Published in: Nature Physics, 18 (2022) 7, Seite 741-750
  • Language: English
  • DOI: 10.1038/s41567-022-01602-2
  • ISSN: 1745-2473; 1745-2481
  • Origination:
  • Footnote: