Machine-learning guided optimization of laser pulses for direct-drive implosions|Fuyuan Wu;Xiaohu Yang;Yanyun Ma;Qi Zhang;Zhe Zhang;Xiaohui Yuan;Hao Liu;Zhengdong Liu;Jiayong Zhong;Jian Zheng;Yutong Li;Jie Zhang|Collaborative Innovation Center of IFSA,Shanghai Jiao Tong University,Shanghai 200240,China - 期刊导航|首站-论文投稿智能助手|论文发表|论文智能投稿|期刊自助发表推荐|杂志社快速发表|查同导刊-域田数据官方网站

典型文献

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

文献摘要：

The optimization of laser pulse shapes is of great importance and a major challenge for laser direct-drive implosions.In this paper,we propose an efficient intelligent method to perform laser pulse optimization via hydrodynamic simulations guided by the genetic algorithm and random forest algorithm.Compared to manual optimizations,the machine-learning guided method is able to efficiently improve the areal density by a factor of 63％and reduce the in-flight-aspect ratio by a factor of 30％at the same time.A relationship between the maximum areal density and ion temperature is also achieved by the analysis of the big simulation dataset.This design method has been successfully demonstrated by the 2021 summer double-cone ignition experiments conducted at the SG-Ⅱ upgrade laser facility and has great prospects for the design of other inertial fusion experiments.

文献关键词：

中图分类号：

[1] 自动化技术、计算机技术（TP） / 计算技术、计算机技术（TP3） / 计算机的应用（TP39） / 信息处理(信息加工)（TP391）

[2] 医药、卫生（R） / 神经病学与精神病学（R74） / 神经病学（R741）

[3] 医药、卫生（R） / 基础医学（R3） / 病理学（R36） / 病理过程（R364）

作者姓名：

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

作者机构：

Key Laboratory for Laser Plasmas(MOE)and School of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai 200240,China;Collaborative Innovation Center of IFSA,Shanghai Jiao Tong University,Shanghai 200240,China;Department of Physics,National University of Defense Technology,Changsha 410073,China;Beijing National Laboratory for Condensed Matter Physics,Institute of Physics,Chinese Academy of Sciences,Beijing 100190,China;Department of Astronomy,Beijing Normal University,Beijing 100875,China;Department of Plasma Physics and Fusion Engineering,University of Science and Technology of China,Hefei 230026,China

文献出处：

高功率激光科学与工程（英文版）

引用格式：

[1]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].高功率激光科学与工程（英文版）,2022(02):35-41

A类：

implosions

B类：

Machine,learning,guided,laser,pulses,direct,drive,shapes,great,importance,major,challenge,In,this,paper,propose,intelligent,method,perform,via,hydrodynamic,simulations,by,genetic,algorithm,random,forest,Compared,manual,optimizations,machine,able,efficiently,improve,areal,density,reduce,flight,aspect,ratio,same,relationship,between,maximum,temperature,also,achieved,analysis,big,dataset,This,design,has,been,successfully,demonstrated,summer,double,cone,ignition,experiments,conducted,SG,upgrade,facility,prospects,other,inertial,fusion

AB值：

0.56647

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