Molecule generation using MLM In our last step we use the masked language model (MLM) to generate novel molecules based on the surrogate model. The MLM was trained following previously reported work on the Enam-ine REAL database . These new molecules are then used to validate the surrogate-predicted HOMO-LUMO gaps using the DFTB method.