• High Power Laser Science and Engineering
  • Vol. 10, Issue 2, 02000e17 (2022)
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
DOI: 10.1017/hpl.2022.8 Cite this Article Set citation alerts
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 Copy Citation Text show less

Abstract

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

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

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

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.

References

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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