Efficiency Improvement of Pulse Waveform Shaping on High Power Laser Facility Using Deep Learning

Author:

Huang Xiaoxia,Tian Xiaocheng,Geng Yuanchao,Guo Huaiwen,Zhao Bowang,Zhou Wei,Li Ping,Tian Zhiyu

Publisher

Elsevier BV

Reference20 articles.

1. Machine learning guided discovery and design for inertial confinement fusion;Kelli Denise;Published by ProQuest LLC,2020

2. Transfer learning to model inertial confinement fusion experiments;K D Humbird;IEEE Transactions on Plasma Science,2020

3. Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning;Julia B Nakhleh;IEEE Transactions on Plasma Science,2021

4. High-energy density hohlraum design using forward and inverse deep neural networks;R G Mcclarren;Physics Letters A,2021

5. What Machine Learning Can and Cannot Do for Inertial Confinement Fusion;Baolian Cheng;Plasma,2023

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