A machine learning approach for determining temperature-dependent bandgap of metal oxides utilizing Allen–Heine–Cardona theory and O’Donnell model parameterization

Nandi, T., Chong, L., Park, J., Saidi, W.A., Chorpening, B., Bayham, S., and Duan, Y. (2024) A machine learning approach for determining temperature-dependent bandgap of metal oxides utilizing Allen–Heine–Cardona theory and O’Donnell model parameterization. AIP Advances, 14, 035231. https://doi.org/10.1063/5.0190024