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Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks
18 September 2021
J. Zhu
C. Rea
R. Granetz
E. Marmar
K. Montes
R. Sweeney
R. A. Tinguely
D.L. Chen
B. Shen
B. Xiao
D. Humphreys
J. Barr
O. Meneghini
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Papers citing
"Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks"
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Uncertainty Guided Online Ensemble for Non-stationary Data Streams in Fusion Science
Kishansingh Rajput
Malachi Schram
Brian Sammuli
Sen Lin
77
0
0
03 Nov 2025
IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature Extraction
Nuclear Fusion (Nucl. Fusion), 2022
C. Shen
W. Zheng
Yonghua Ding
X. Ai
F. Xue
...
Zhipeng Chen
Zhoujun Yang
Zhongfu Chen
Y. Pan
J-Text Team
AI4CE
123
16
0
28 Aug 2022
1