31st edition of the Symposium on Fusion Technology (SOFT 2020), Online, 20th to 25th September 2020 info:cnr-pdr/source/autori:Kudlace O.; Bosman T.; Felici F.; Galperti C.; van Mulders S.; Sauter O.; Sieglin B.; Treutterer W.; Vu T.; Weiland M.; Angioni C.; Bonanomi N.; Carpanese F.; Gomez-Ortiz I.; Fischer R.; Gianonne L.; Kong M.; Maceina T.; Maraschek M.; Merle A.; Moret J-M.; Pau A.; Poli E.; Rispoli N.; Reich M.; Sozzi C./congresso_nome:31st edition of the Symposium on Fusion Technology (SOFT 2020)/congresso_luogo:Online/congresso_data:20th to 25th September 2020 | Online/anno:2020/pagina_da:/pagina_a:/intervallo_pagine
Nuclear Fusion, 58(9):096006. Institute of Physics Nuclear Fusion Nuclear Fusion (0029-5515) vol.58(2018) Felici, F, Citrin, J, Teplukhina, A A, Redondo, J, Bourdelle, C, Imbeaux, F, Sauter, O, Hakola, A, Aho-Mantila, L, Karhunen, J, Lahtinen, A, Salmi, A, Tala, T, Airila, M, Järvinen, A, Koivuranta, S, Likonen, J, Sirén, P, JET Contributors & EUROfusion MST1 Team 2018, ' Real-time-capable prediction of temperature and density profiles in a tokamak using RAPTOR and a first-principle-based transport model ', Nuclear Fusion, vol. 58, no. 9, 096006 . https://doi.org/10.1088/1741-4326/aac8f0 Nuclear Fusion, 58, 096006