8 citations · 8 across the 2 of their papers we have counts for
2 papers
nucl-th2025
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-th2023★ 8 cited
Connection of four-dimensional Langevin model and Hauser-Feshbach theory to describe statistical decay of fission fragments
Kazuki Fujio, Shin Okumura, Chikako Ishizuka +2
We developed a method superposing two different fission modes calculated in a four-dimensional Langevin model to obtain more accurate fission fragment yield and total kinetic energ…