Ze-Peng Gao; Yong-Jia Wang; Hong-Liang Lü; Qing-Feng Li; Cai-Wan Shen; Ling Liu

doi:10.1007/s41365-021-00956-1

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Machine learning the nuclear mass

NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH | 更新时间：2021-11-29

- Machine learning the nuclear mass 封面论文增强出版
- Machine learning the nuclear mass
- Nuclear Science and Techniques 2021年 32卷第10期 (2021)
- 作者机构：
  
  College of Physics Science and Technology, Shenyang Normal University,Shenyang,China,110034;School of Science, Huzhou University,Huzhou,China,313000;HiSilicon Research Department, Huawei Technologies Co., Ltd.,Shenzhen,China,518000;Institute of Modern Physics, Chinese Academy of Science,Lanzhou,China,730000
- 作者简介：
- 基金信息：
  
  National Science Foundation of China(U2032145;11875125;12047568;11790323;11790325;12075085);National Key Research and Development Program of China(2020YFE0202002);"Ten Thousand Talent Program" of Zhejiang Province(2018R52017)
- DOI：10.1007/s41365-021-00956-1 中图分类号：
- 纸质出版日期：2021-10-01，
  
  网络出版日期：2021-10-07，
  
  收稿日期：2021-05-24，
  
  修回日期：2021-09-05，
  
  录用日期：2021-09-07
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引用本文
Ze-Peng Gao, Yong-Jia Wang, Hong-Liang Lü, 等. Machine learning the nuclear mass[J]. Nuclear Science and Techniques, 2021, 32(10):109

Ze-Peng Gao, Yong-Jia Wang, Hong-Liang Lü, et al. Machine learning the nuclear mass[J]. Nuclear Science and Techniques, 2021, 32(10):109
Ze-Peng Gao, Yong-Jia Wang, Hong-Liang Lü, 等. Machine learning the nuclear mass[J]. Nuclear Science and Techniques, 2021, 32(10):109 DOI： 10.1007/s41365-021-00956-1.

Ze-Peng Gao, Yong-Jia Wang, Hong-Liang Lü, et al. Machine learning the nuclear mass[J]. Nuclear Science and Techniques, 2021, 32(10):109 DOI： 10.1007/s41365-021-00956-1.

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Machine learning the nuclear mass 封面论文 增强出版

Machine learning the nuclear mass 封面论文增强出版