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Predicts the electronic band gap from the JARVIS-DFT TBmBJ functional. Generally more accurate than PBE/optB88vdW for band gaps.
50+ pretrained graph neural network models for predicting materials properties from a CIF file. Covers energetics, band gaps, mechanical properties, thermoelectrics, superconductivity, catalysis, MOFs, and more.