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Hybrid deep learning architecture for general disruption prediction
  across tokamaks
v1v2v3v4 (latest)

Hybrid deep learning architecture for general disruption prediction across tokamaks

2 July 2020
J. Zhu
Cristina Rea
K. Montes
R. Granetz
R. Sweeney
R. A. Tinguely
ArXiv (abs)PDFHTML

Papers citing "Hybrid deep learning architecture for general disruption prediction across tokamaks"

4 / 4 papers shown
Title
Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE
  Surrogates
Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates
Y. Poels
G. Derks
E. Westerhof
Koen Minartz
Sven Wiesen
Vlado Menkovski
3DGSAI4CE
84
18
0
30 May 2023
Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly
  Detection
Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection
X. Ai
W. Zheng
Ming Zhang
Dalong Chen
C. Shen
...
Zhipeng Chen
Zhongyong Chen
Yonghua Ding
Y. Pan
J-Text Team
31
3
0
27 Mar 2023
Scenario adaptive disruption prediction study for next generation
  burning-plasma tokamaks
Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks
J. Zhu
C. Rea
R. Granetz
E. Marmar
K. Montes
...
B. Shen
B. Xiao
D. Humphreys
J. Barr
O. Meneghini
30
17
0
18 Sep 2021
Experiment data-driven modeling of tokamak discharge in EAST
Experiment data-driven modeling of tokamak discharge in EAST
Chenguang Wan
Jian-gang Li
Zhi Yu
Xiaojuan Liu
31
17
0
21 Jul 2020
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