2 papers
nucl-th2026
Input-driven analysis in predicting nuclear charge radii using Monte Carlo dropout Bayesian neural network
Jia-Xin Liu, Zhen-Yan Xian, Yan Ya +3
Nuclei charge radii play an essential role in understanding the fundamental interactions of finite quantum fermion systems. In this work, input-driven Bayesian neural network based…
nucl-th2025
Shell quenching in nuclear charge radii based on Monte Carlo dropout Bayesian neural network
Zhen-Yan Xian, Yan Ya, Rong An
Charge radii can be generally used to encode information about various fine structures of finite nuclei. In this work, a constructed Bayesian neural network based on the Monte Carl…