Machine learning application in complicated burning plasmas for future magnetic fusion exploration

Bibliographic Details
Main Authors: Xiaolong Zhu, Hui Li, Yifei Zhao, Zhengxiong Wang
Format: Article
Language:English
Published: Tsinghua University Press 2022-09-01
Series:iEnergy
Subjects:
Online Access:https://www.sciopen.com/article/10.23919/IEN.2022.0036
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author Xiaolong Zhu
Hui Li
Yifei Zhao
Zhengxiong Wang
author_facet Xiaolong Zhu
Hui Li
Yifei Zhao
Zhengxiong Wang
author_sort Xiaolong Zhu
collection DOAJ
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spelling doaj.art-1d5dd647810845e0922c14b3b070bacb2022-12-22T04:41:27ZengTsinghua University PressiEnergy2771-91972022-09-011327227610.23919/IEN.2022.0036Machine learning application in complicated burning plasmas for future magnetic fusion explorationXiaolong Zhu0Hui Li1Yifei Zhao2Zhengxiong Wang3Key Laboratory of Materials Modification by Laser, Ion and Electron Beams (Ministry of Education), School of Physics, Dalian University of Technology, Dalian 116024, ChinaKey Laboratory of Materials Modification by Laser, Ion and Electron Beams (Ministry of Education), School of Physics, Dalian University of Technology, Dalian 116024, ChinaKey Laboratory of Materials Modification by Laser, Ion and Electron Beams (Ministry of Education), School of Physics, Dalian University of Technology, Dalian 116024, ChinaKey Laboratory of Materials Modification by Laser, Ion and Electron Beams (Ministry of Education), School of Physics, Dalian University of Technology, Dalian 116024, Chinahttps://www.sciopen.com/article/10.23919/IEN.2022.0036machine learningmagnetic confinement fusionburning plasmasmultiple mode-number instabilities
spellingShingle Xiaolong Zhu
Hui Li
Yifei Zhao
Zhengxiong Wang
Machine learning application in complicated burning plasmas for future magnetic fusion exploration
iEnergy
machine learning
magnetic confinement fusion
burning plasmas
multiple mode-number instabilities
title Machine learning application in complicated burning plasmas for future magnetic fusion exploration
title_full Machine learning application in complicated burning plasmas for future magnetic fusion exploration
title_fullStr Machine learning application in complicated burning plasmas for future magnetic fusion exploration
title_full_unstemmed Machine learning application in complicated burning plasmas for future magnetic fusion exploration
title_short Machine learning application in complicated burning plasmas for future magnetic fusion exploration
title_sort machine learning application in complicated burning plasmas for future magnetic fusion exploration
topic machine learning
magnetic confinement fusion
burning plasmas
multiple mode-number instabilities
url https://www.sciopen.com/article/10.23919/IEN.2022.0036
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AT huili machinelearningapplicationincomplicatedburningplasmasforfuturemagneticfusionexploration
AT yifeizhao machinelearningapplicationincomplicatedburningplasmasforfuturemagneticfusionexploration
AT zhengxiongwang machinelearningapplicationincomplicatedburningplasmasforfuturemagneticfusionexploration