Additional curating was done on the NOMAD data set. Next, the formulae in NOMAD that overlapped with formulae in the SuperCon training data were removed for better accuracy while predicting. The NOMAD data was reduced to 694,398 compositions. The training data and test data are then screened through SMACT for validity (see Fig. ).