Precise hohlraum x-ray flux predictions at the 100 kJ-level laser facility with deep learning

Precise prediction of the hohlraum x-ray drive is essential for target design optimization in indirect-drive inertial confinement fusion. Conventional simulations, however, are often hampered by the hohlraum drive deficit, which limits their predictive power for new experimental configurations. This...

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Autori principali:	Qi Zhang, Shihui Cao, Chuankui Sun, Longyu Kuang, Jinhua Zheng, Qi Li, Longfei Jing, Weiming Yang, Xiaoxi Duan, Weiwu Wang, Zhiwei Lin, Min Lv, Ji Yan, Liang Guo, Zhichao Li, Dong Yang, Jiamin Yang, Zongqing Zhao
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IOP Publishing 2026-01-01
Serie:	Nuclear Fusion
Soggetti:	drive deficit inertial confinement fusion machine learning
Accesso online:	https://doi.org/10.1088/1741-4326/ae5fa7
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