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…