2 papers
cond-mat.mtrl-sci2026
Spin Neural Network Potential for Magnetic Phase Transitions in Uranium Dioxide
Keita Kobayashi, Hiroki Nakamura, Mitsuhiro Itakura
Uranium dioxide (UO2) is a prototypical nuclear fuel material, yet predicting its thermophysical properties across a wide temperature range remains challenging. One factor contribu…
cond-mat.mtrl-sci2024
Specific Heat Anomalies and Local Symmetry Breaking in (Anti-)Fluorite Materials: A Machine Learning Molecular Dynamics Study
Keita Kobayashi, Hiroki Nakamura, Masahiko Okumura +2
Understanding the high-temperature properties of materials with (anti-)fluorite structures is crucial for their application in nuclear reactors. In this study, we employ machine le…