Long, Feifei https://orcid.org/0000-0002-1008-6499
Zhao, Yian
Zhang, Yunjiao
Wan, Chenguang https://orcid.org/0000-0002-6005-4460
Zhou, Yinan
Qiang, Ziwei
Yang, Kangning https://orcid.org/0000-0003-4423-8830
Li, Jiuying https://orcid.org/0000-0002-8466-7384
Shi, Tonghui https://orcid.org/0000-0002-5321-1464
Guo, Bihao https://orcid.org/0000-0003-2630-5796
Zhang, Yang https://orcid.org/0000-0002-9510-4763
Zhao, Hailing
Ti, Ang
Liu, Adi https://orcid.org/0000-0002-3164-7320
Zhou, Chu https://orcid.org/0000-0003-2928-242X
Xie, Jinlin https://orcid.org/0000-0002-8902-672X
Liu, Zixi https://orcid.org/0009-0008-2627-8082
Zhuang, Ge https://orcid.org/0000-0002-6048-8568
,
Funding for this research was provided by:
National Natural Science Foundation of China (12305249)
National Key R&D Program of China (2024YFE03240300)
Fundamental Research Funds for the Central Universities (WK2140000021)
National Magnetic Confinement Fusion Energy Research and Development Program of China (2022YFE03050003)
Article Title: Physics-guided attention-aware convolutional neural networks for identification of magnetic islands in the tearing mode on EAST tokamak
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: 2024-12-19
Date Accepted: 2025-04-07
Online publication date: 2025-04-22