A physics-embedded Bayesian neural network for predicting the energy dependence of fission product yields with fine structures

Jingde Chen, Yuta Mukobara, Kazuki Fujio +3

We present a physics-embedded Bayesian neural network (PE-BNN) framework that integrates fission product yields (FPYs) with prior nuclear physics knowledge to predict energy-depend…