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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	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
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IOP Publishing 2026-01-01
Σειρά:	Nuclear Fusion
Θέματα:	drive deficit inertial confinement fusion machine learning
Διαθέσιμο Online:	https://doi.org/10.1088/1741-4326/ae5fa7
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!