Deng, Guo-Hong https://orcid.org/0009-0007-1912-9006
Xie, Peng-Cheng https://orcid.org/0000-0002-0567-646X
Sun, You-Wen https://orcid.org/0000-0002-9934-1328
Wang, Hui-Hui https://orcid.org/0000-0002-3034-0925
Xu, Jian
Ma, Qun https://orcid.org/0000-0001-8057-8934
Gu, Shuai https://orcid.org/0000-0001-5159-939X
Sheng, Hui
Yang, Hua
Chen, Gao-Ting
Funding for this research was provided by:
National Magnetic Confinement Fusion Program of China (2024YFE03010000)
Hefei Institutes of Physical Science, Chinese Academy of Sciences (BJPY2022B05)
Natural Science Foundation of Anhui Province (2208085J39)
Chinese Academy of Sciences (No. XDB0790100)
National Natural Science Foundation of China (12105323)
Article Title: Automatic identification of tokamak plasma confinement states (L-mode, ELM-free H-mode, and ELMy H-mode) with multi-task learning neural network
Journal Title: Nuclear Fusion
Article Type: paper
Copyright Information: © 2025 The Author(s). Published by IOP Publishing Ltd on behalf of the IAEA
Publication dates
Date Received: 2025-01-30
Date Accepted: 2025-06-12
Online publication date: 2025-06-23