atomistic-machine-learning/schnetpack

What can also be used as input modules in the AtomisticTask for energy prediction except PairwiseDistances?

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I'm trying to perform an energy prediction for structures from aflow dataset and I'm curious, if i can use more input modules than just spk.atomistic.PairwiseDistances
Can i use all modules from spk.atomistic?
If so, can you give me some examples of their usage?

jnsLs commented

The model architectures implemented in SchNetPack are designed to take pairwise distance (vectors) and atom types as inputs. The other modules in spk.atomistic are rather output modules.

Thanks for your answer!