Machine learning application in complicated burning plasmas for future magnetic fusion exploration
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Tsinghua University Press
2022-09-01
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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 |
first_indexed | 2024-04-11T06:07:14Z |
format | Article |
id | doaj.art-1d5dd647810845e0922c14b3b070bacb |
institution | Directory Open Access Journal |
issn | 2771-9197 |
language | English |
last_indexed | 2024-04-11T06:07:14Z |
publishDate | 2022-09-01 |
publisher | Tsinghua University Press |
record_format | Article |
series | iEnergy |
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 |
work_keys_str_mv | AT xiaolongzhu machinelearningapplicationincomplicatedburningplasmasforfuturemagneticfusionexploration AT huili machinelearningapplicationincomplicatedburningplasmasforfuturemagneticfusionexploration AT yifeizhao machinelearningapplicationincomplicatedburningplasmasforfuturemagneticfusionexploration AT zhengxiongwang machinelearningapplicationincomplicatedburningplasmasforfuturemagneticfusionexploration |