High Power Laser Science and Engineering, Volume. 10, Issue 2, 02000e17(2022)

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

Fuyuan Wu*, Xiaohu Yang, Yanyun Ma, Qi Zhang, Zhe Zhang, Xiaohui Yuan, Hao Liu, Zhengdong Liu, Jiayong Zhong, Jian Zheng, Yutong Li, and Jie Zhang

There was a mistake in the value of V in the righthand column of Table 1. A correct version of the table is below.

  • Table 1. Typical properties of manual optimization and machine-learning optimization.

    Table 1. Typical properties of manual optimization and machine-learning optimization.

    PropertiesManual optimizationMachine learning optimization
    ρ (g/cm2)0.380.62
    Ti (keV)0.250.23
    V (km/s)233223
    IFAR3528
    Energy (kJ)2×62×5

Also, the units of this value when stated in the text were incorrectly stated as g/cm2, where they should have been stated as km/s.

The relevant sentence in the paragraph below Table 1 should read:

The implosion velocity decreases a little (from 233 to 223 km/s) due to the reduced drive energy.

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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 - CORRIGENDUM[J]. High Power Laser Science and Engineering, 2022, 10(2): 02000e17

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Paper Information

Category: Research Articles

Received: --

Accepted: --

Published Online: May. 7, 2022

The Author Email:

DOI:10.1017/hpl.2022.8

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