8 citations · 8 across the 3 of their papers we have counts for
3 papers
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…
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…
Effects of triaxiality and pairing interaction on fission barriers of actinide nuclei studied by density-dependence relativistic mean-field theory
Taiki Kouno, Chikako Ishizuka, Kazuki Fujio +2
We employ density-dependent relativistic mean-field theory to study how the triaxiality and pairing interaction affect the inner fission barriers of actinide nuclei. It was found t…