Finishing off, by making energies more informationrich through LES in the training, we equip our models with a high level of transferability, ensuring that any information learned from atoms lead to better performance on molecules. LES reveals information completely washed away with GES, showing that combinations of features and corresponding energy densities, even for atoms, are highly relevant for molecules. Thus, LES provides a new powerful strategy for ML of transferable DFAs.