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iEnergy 2022, 1(3): 272-276 https://doi.org/10.23919/IEN.2022.0036
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Machine learning application in complicated burning plasmas for future magnetic fusion exploration

Show Author's Information Xiaolong Zhu,  Hui Li,  Yifei Zhao,  Zhengxiong Wang( )
Key Laboratory of Materials Modification by Laser, Ion and Electron Beams (Ministry of Education), School of Physics, Dalian University of Technology, Dalian 116024, China
Keywords:
Machine learning, magnetic confinement fusion, burning plasmas, multiple mode-number instabilities
Cite this article:
Zhu X, Li H, Zhao Y, et al. Machine learning application in complicated burning plasmas for future magnetic fusion exploration. iEnergy, 2022, 1(3): 272-276. https://doi.org/10.23919/IEN.2022.0036
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Machine learning application in complicated burning plasmas for future magnetic fusion exploration

Show Author's information Xiaolong Zhu, Hui Li, Yifei Zhao, Zhengxiong Wang( )
Key Laboratory of Materials Modification by Laser, Ion and Electron Beams (Ministry of Education), School of Physics, Dalian University of Technology, Dalian 116024, China
Keywords: Machine learning, magnetic confinement fusion, burning plasmas, multiple mode-number instabilities

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Accepted: 14 September 2022
Published: 20 September 2022
Issue date: September 2022

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Copyright: by the author(s). The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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