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Rea, C. https://orcid.org/0000-0002-9948-2649
Yuan, Q.P.
Erickson, K.G.
Chen, D.L. https://orcid.org/0000-0001-7093-3154
Shen, B.
Huang, Y.
Xiao, J.Y.
Chen, J.J.
Duan, Y.M.
Zhang, Y. https://orcid.org/0000-0002-9510-4763
Zhuang, H.D.
Xu, J.C. https://orcid.org/0000-0001-5886-3114
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Granetz, R.S.
Zeng, L. https://orcid.org/0000-0003-4968-1401
Qian, J.P.
Xiao, B.J.
Li, J.G.
Funding for this research was provided by:
U.S. Department of Energy, Office of Science, Office of Fusion Energy Sciences (DE-AC02-09CH11466 DE-FC02-04ER54698 DE-SC0014264)
National MCF Energy R&D Program of China (2018YFE0302100)
National Natural Science Foundation of China (11775266 11875293 12005264 12075285 U1867222)
President Foundation of Hefei Institutes of Physical Science of Chinese Academy of Sciences (YZJJ2020QN11)
Article Title: Real-time prediction of high-density EAST disruptions using random forest
Journal Title: Nuclear Fusion
Article Type: paper
Copyright Information: © 2021 IAEA, Vienna
Publication dates
Date Received: 2021-01-26
Date Accepted: 2021-04-13
Online publication date: 2021-05-18