High Power Laser Science and Engineering, Volume. 10, Issue 2, 02000e12(2022)

Machine-learning guided optimization of laser pulses for direct-drive implosions

Fuyuan Wu1,2, Xiaohu Yang2,3, Yanyun Ma2,3, Qi Zhang1,2, Zhe Zhang4, Xiaohui Yuan1,2, Hao Liu1,2, Zhengdong Liu5, Jiayong Zhong2,5, Jian Zheng2,6, Yutong Li2,4, and Jie Zhang1,2、*
Author Affiliations
  • 1Key Laboratory for Laser Plasmas (MOE) and School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai200240, China
  • 2Collaborative Innovation Center of IFSA, Shanghai Jiao Tong University, Shanghai200240, China
  • 3Department of Physics, National University of Defense Technology, Changsha410073, China
  • 4Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing100190, China
  • 5Department of Astronomy, Beijing Normal University, Beijing100875, China
  • 6Department of Plasma Physics and Fusion Engineering, University of Science and Technology of China, Hefei230026, China
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    Fuyuan Wu, Xiaohu Yang, Yanyun Ma, Qi Zhang, Zhe Zhang, Xiaohui Yuan, Hao Liu, Zhengdong Liu, Jiayong Zhong, Jian Zheng, Yutong Li, Jie Zhang. Machine-learning guided optimization of laser pulses for direct-drive implosions[J]. High Power Laser Science and Engineering, 2022, 10(2): 02000e12

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    Paper Information

    Category: Research Articles

    Received: Nov. 17, 2021

    Accepted: Jan. 24, 2022

    Posted: Jan. 25, 2022

    Published Online: Apr. 19, 2022

    The Author Email: Jie Zhang (jzhang1@sjtu.edu.cn)

    DOI:10.1017/hpl.2022.4

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