2 papers
nucl-th2026
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…
nucl-th2026
Multi-task deep neural network for predicting both nuclear fission yields and their experimental errors in peak-shaped data
Maomi Ueno, Enbo Zhang, Kazuma Fuchimoto +3
The fission product yield (FPY) is crucially important information for numerous nuclear applications. However, the peak-shaped characteristics of FPY data present important challen…