S K Kim, R Shousha, S M Yang, Q Hu, S H Hahn, A Jalalvand, J-K Park, N C Logan, A O Nelson, Y-S Na, R Nazikian, R Wilcox, R Hong, T Rhodes, C Paz-Soldan, Y M Jeon, M W Kim, W H Ko, J H Lee, A Battey, G Yu, A Bortolon, J Snipes, E Kolemen
The path of tokamak fusion and International thermonuclear experimental reactor (ITER) is maintaining high-performance plasma to produce sufficient fusion power. This effort is hindered by the transient energy burst arising from the instabilities at the boundary of plasmas. Conventional 3D magnetic perturbations used to suppress these instabilities often degrade fusion performance and increase the risk of other instabilities. This study presents an innovative 3D field optimization approach that leverages machine learning and real-time adaptability to overcome these challenges...
May 11, 2024: Nature Communications