Predicting the bandgap of ABX 2 materials: supervised machine learning on small dataset

Predicting the electronic bandgap in ABX 2 -type materials (where A = {Al, Ga, Zn, Cd}, B = {Ga, In, Ge, Sn, Si}, and X = {N, P, As, Sb}) is essential for photovoltaic applications.