Performance Comparison of Machine Learning Disruption Predictors at JET

Reliable disruption prediction (DP) and disruption mitigation systems are considered unavoidable during international thermonuclear experimental reactor (ITER) operations and in the view of the next fusion reactors such as the DEMOnstration Power Plant (DEMO) and China Fusion Engineering Test Reacto...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Enrico Aymerich, Barbara Cannas, Fabio Pisano, Giuliana Sias, Carlo Sozzi, Chris Stuart, Pedro Carvalho, Alessandra Fanni, the JET Contributors
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Subjects:	tokamak disruption prediction machine learning deep learning data analysis plasma diagnostics
Online Access:	https://www.mdpi.com/2076-3417/13/3/2006