8 citations · 8 across the 2 of their papers we have counts for
2 papers
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…
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…