Machine-learning-driven modeling of far-infrared semiconductors

Doctoral work at C2N (CNRS, Université Paris-Saclay). The calculations combine DFT+U, hybrid functionals, G₀W₀, DFPT, band alignment and alloy models (supercells and the virtual crystal approximation), with Bayesian optimization used to calibrate the functional parameters.