Nucleon separation energy predictions with the Kernel ridge regression
Special Topics on Applications of Machine Learning in Nuclear Physics and Nuclear Data|更新时间:2025-05-08
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Nucleon separation energy predictions with the Kernel ridge regression
“In the field of nuclear physics, experts apply the nuclear ridge regression method to explore the description of nuclear separation energy, providing new directions for the study of celestial nucleosynthesis.”
NUCLEAR TECHNIQUESArticle number: XXXXXX(2025)
作者机构:
福州大学 物理与信息工程学院 福州 350108
作者简介:
GUO Yueying, female, born in 2003, an undergraduate student at Fuzhou University, focusing on nuclear physics
WU Xinhui, E-mail: wuxinhui@fzu.edu.cn
基金信息:
National Natural Science Foundation of China(12405134)
GUO Yueying, TANG Xiangqi, LIU Huixin, et al. Nucleon separation energy predictions with the Kernel ridge regression[J/OL]. Nuclear techniques, 2025, XXXXXX