This update to Chemprop software provides users with great flexibility and ease in providing additional atom, bond, and molecular descriptors as additional features at various stages of embedding learning. In general, the particular implementation choice should de-pend on specific tasks, and we leave this to the user to decide. The QM-augmented D-MPNN architecture used in this work is illustrated in Figure (a). This work focuses on molecular property prediction, and therefore additional atom features are concatenated with learned atom representations instead of initial atom features to minimize error propagation during message passing. In contrast, additional bond features are concatenated with initial bond features rather than the learned bond representation to ensure that information is passed to the learned molecular representation.