Establishment and Assessment of Plasma Disruption and Warning Databases from EAST
Author:
Publisher
IOP Publishing
Subject
Condensed Matter Physics
Link
http://stacks.iop.org/1009-0630/18/i=12/a=1162/pdf
Reference21 articles.
1. Disruptions in tokamaks
2. Divertor modelling and extrapolation to reactor conditions
3. Classical resistivity in a post-thermal quench disrupting plasma
4. Generation and termination of runaway electrons at major disruptions in JT-60U
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Review of Traditional and Data-Driven Approaches for Disruption Prediction in Different Tokamaks;E3S Web of Conferences;2024
2. Disruption prediction for future tokamaks using parameter-based transfer learning;Communications Physics;2023-07-17
3. Evolution of turbulence characteristics in the pre-precursor phase of tearing mode included disruption in the core of EAST;Physica Scripta;2023-03-21
4. Disruption prediction on EAST tokamak using a deep learning algorithm;Plasma Physics and Controlled Fusion;2021-09-24
5. Disruption prediction using a full convolutional neural network on EAST;Plasma Physics and Controlled Fusion;2020-12-17
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