Machine learning study of universal electronic stopping cross-sections of ions in matter

Accurate electronic stopping cross-section (ESCS) database of ions in matter is crucial for precise simulation of radiation damage. Based on the experimental-cleaned database of SRIM, binary theory and unitary convolution approximation as well as the descriptor pool extracted from these models, we d...

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Главные авторы:	Fan Cheng, Xun Liu, Qirong Zheng, Chuanguo Zhang, Bo Da, Yonggang Li
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2025-03-01
Серии:	Nuclear Engineering and Technology
Предметы:	Electronic stopping cross-section Machine learning Least absolute shrinkage and selection operator (LASSO)
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S1738573324005217
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