IV. CONCLUSION 12,415 known superconductors in the SuperCon database were first validated through SMACT, and then trained on the DiSCoVeR algorithm. 694,398 curated, chemically-novel formulae were taken from the NOMAD repository, also validated through SMACT, and then screened through the trained model in chunks. Critical temperatures for each of the formulae in this NOMAD data set were predicted. A weighted uniqueness/performance ranking for each of the compositions was obtained. These sorted compositions also include a Boolean value to whether or not they are valid according to SMACT.