Presentation Information

[1A12]Evaluation of Energy Dependence of Fission Yields Predicted by Machine Learning

*JINGDE CHEN1, Yuta Mukobara1, Satoshi Chiba2, Tatsuya Katabuchi1, Chikako Isizuka1 (1. Institute of Science Tokyo, 2. NAT)

Keywords:

Fission Yield,Bayesian Neural Network,Fission Observables

Using a Bayesian Neural Network (BNN) model constructed by incorporating experimental data, evaluated values, and insights from physics, we are working on predicting the energy dependence of fission yields. In this presentation, we compare the predicted yields with various observables and evaluate their behaviors.