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…
astro-ph.HE2026
Multiquark clustering in neutron-star matter from color-spin molecular dynamics
Nobutoshi Yasutake, Yuta Mukobara, Aaron Park +2
We study the equation of state of neutron-star matter with color-spin molecular dynamics. The calculation includes the internal color and spin degrees of freedom and their time evo…