Bulletin of the American Physical Society
63rd Annual Meeting of the APS Division of Plasma Physics
Volume 66, Number 13
Monday–Friday, November 8–12, 2021; Pittsburgh, PA
Session PO09: MFE: KSTAR and Ignitor
2:00 PM–5:00 PM,
Wednesday, November 10, 2021
Room: Rooms 403-405
Abstract: PO09.00012 : Machine learning-based preemptive RMP control for ELM-crash suppression in KSTAR plasmas*
4:12 PM–4:24 PM
Presenter:
Giwook Shin
(Korea Institute of Fusion Energy (KFE))
Authors:
Giwook Shin
(Korea Institute of Fusion Energy (KFE))
Hyunsun Han
(Korea Institute of Fusion Energy (KFE))
Minwoo Kim
(Korea Institute of Fusion Energy (KFE))
Sang-hee Hahn
(Korea Institute of Fusion Energy (KFE))
Wonha Ko
(Korea Institute of Fusion Energy (KFE))
Gunyoung Park
(Korea Institute of Fusion Energy (KFE))
Myungwon Lee
(Korea Institute of Fusion Energy (KFE))
Youngho Lee
(Korea Institute of Fusion Energy (KFE))
Minho Kim
(Korea Institute of Fusion Energy (KFE))
Jae-wook Kim
(Korea Institute of Fusion Energy (KFE))
June-woo Juhn
(Korea Institute of Fusion Energy (KFE))
Ju-hyueok Jang
(Korea Institute of Fusion Energy (KFE))
Hyun-seok Kim
(Korea Institute of Fusion Energy (KFE))
Jongha Lee
(Korea Institute of Fusion Energy (KFE))
Hajin Kim
(Korea Institute of Fusion Energy (KFE))
Siwoo Yoon
(Korea Institute of Fusion Energy (KFE))
Collaboration:
KSTAR team
[1] Giwook Shin et al., “Real-time classification of L-H transition and ELM in KSTAR”, Fusion Engineering and Design 157 (2020) 111634
*This research was supported by R&D Program of "KSTAR Experimental Collaboration and Fusion Plasma Research (EN2101-12)" and "Study on the Realtime Control of Nuclear Fusion Plasma Edge- Localized Mode by 3D Magnetic Field (PI2002)" through the Korea Institute of Fusion Energy(KFE) funded by the Government funds and by the Korea Hydro & Nuclear Power Co., LTD (KHNP) under 2019-Tech-G19IO16.
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