Many-body physics and machine learning enabled discovery of promising solar materials

Starting from a diverse dataset of 350+ GW-BSE computed quasiparticle gaps and exciton binding energies, a machine learning model is trained and then used to screen through 7K+ materials to identify 396 with excellent solar applications.