Your Location：

Home >

Browse articles >

Nuclear mass based on the multi-task learning neural network method

NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH | Updated：2022-12-16

- Nuclear mass based on the multi-task learning neural network method Cover Article Enhanced Publication
- Nuclear Science and Techniques Vol.33, Issue 4, (2022)
- Affiliations：
  
  School of Nuclear Science and Technology, Lanzhou University,Lanzhou,China,730000;China Nuclear Data Center, China Institute of Atomic Energy,Beijing,China,102413
- Author bio：
- Funds：
- DOI：10.1007/s41365-022-01031-z CLC：
- Published：2022-04，
  
  Published Online：25 April 2022，
  
  Received：17 February 2022，
  
  Revised：14 March 2022，
  
  Accepted：18 March 2022
Scan the full text
Cite this article
Xing-Chen Ming, Hong-Fei Zhang, Rui-Rui Xu, et al. Nuclear mass based on the multi-task learning neural network method. [J]. Nuclear Science and Techniques 33(4):48(2022)
DOI：

Xing-Chen Ming, Hong-Fei Zhang, Rui-Rui Xu, et al. Nuclear mass based on the multi-task learning neural network method. [J]. Nuclear Science and Techniques 33(4):48(2022) DOI： 10.1007/s41365-022-01031-z.

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Machine learning the nuclear mass

Contributions of optimized tensor interactions on the binding energies of nuclei

Directed flow of isospin sensitive fragments within a modified clusterization algorithm in heavy-ion collisions

The interaction of defects in titanium: A molecular dynamics study

Neural network for mass reconstruction of resonance particle with missing energy

Related Author

Ze-Peng Gao

Yong-Jia Wang

Hong-Liang Lü

Qing-Feng Li

Cai-Wan Shen

Ling Liu

Di Wu

Chun-Lin Bai

Related Institution

College of Physics Science and Technology, Shenyang Normal University

School of Science, Huzhou University

HiSilicon Research Department, Huawei Technologies Co., Ltd.

Institute of Modern Physics, Chinese Academy of Science

College of Physics, Sichuan University

⁰

Nuclear mass based on the multi-task learning neural network method Cover Article Enhanced Publication