CNN-based neural network model for amplified laser pulse temporal shape prediction with dynamic requirement in high-power laser facility | Zendy

Lu Zou | Zendy; Yuanchao Geng | Zendy; Bingguo Liu | Zendy; Fengdong Chen | Zendy; Wei Zhou | Zendy; Zhitao Peng | Zendy; Dongxia Hu | Zendy; Qiang Yuan | Zendy; Guodong Liu | Zendy; Lanqin Liu | Zendy

Open Access

CNN-based neural network model for amplified laser pulse temporal shape prediction with dynamic requirement in high-power laser facility

Author(s) -

Lu Zou,

Yuanchao Geng,

Bingguo Liu,

Fengdong Chen,

Wei Zhou,

Zhitao Peng,

Dongxia Hu,

Qiang Yuan,

Guodong Liu,

Lanqin Liu

Publication year - 2022

Publication title -

optics express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 271

ISSN - 1094-4087

DOI - 10.1364/oe.461396

Subject(s) - pulse (music) , computer science , artificial neural network , inertial confinement fusion , representation (politics) , convolutional neural network , laser , dimension (graph theory) , physical system , process (computing) , sensitivity (control systems) , artificial intelligence , optics , algorithm , physics , mathematics , electronic engineering , detector , quantum mechanics , politics , law , political science , pure mathematics , operating system , engineering

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