Study of Deuteron Separation Energy Based on Bayesian Neural Network Approach
Deuteron separation energy is not only the basis for validating the nuclear mass models and nucleon-nucleon interaction potential, but also can determine the stability of a nuclide to certain extent. Bayesian neural network (BNN) approach, which has strong predictive power and can naturally give the...
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| Format: | Article |
| Language: | English |
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Editorial Board of Atomic Energy Science and Technology
2023-04-01
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| Series: | Yuanzineng kexue jishu |
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| Online Access: | https://www.aest.org.cn/CN/10.7538/yzk.2022.youxian.0858 |