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Scenario adaptive disruption prediction study for next generation
  burning-plasma tokamaks

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
ArXiv (abs)PDFHTML

Papers citing "Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks"

2 / 2 papers shown
Uncertainty Guided Online Ensemble for Non-stationary Data Streams in Fusion Science
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
IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature ExtractionNuclear 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