436 citations · 1k across the 22 of their papers we have counts for
22 papers
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…
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…
The Langevin approach for fission of heavy and super-heavy nuclei
F. A. Ivanyuk, S. V. Radionov, C. Ishizuka +1
In this contribution, we present the main relations of the Langevin approach to the description of fission or fusion-fission reactions. The results of Langevin calculations are sho…
CompOSE Reference Manual
S. Typel, M. Oertel, T. Klähn +10
CompOSE (CompStar Online Supernovae Equations of State) is an online repository of equations of state (EoS) for use in nuclear physics and astrophysics, e.g., in the description of…
Role of Tensor Interaction as Salvation of Cluster Structure in Ti
Chikako Ishizuka, Hiroki Takemoto, Yohei Chiba +2
Background: The Ti nucleus has been known to have a Ca+ cluster structure, and inversion doublet structure has been observed; however, cluster structure tends…