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Flexible property prediction heads #362

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Flexible property prediction heads #362

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M-R-Schaefer
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@M-R-Schaefer M-R-Schaefer commented Nov 4, 2024

I have added property prediction heads to the EnergyModel.
These can predict per-atom or per-structure quantities with either l0, l1 or symmetric traceless l2 symmetry.

Further, I have added a LatentEwald module which gives us access to long range interactions

TODO:

  • add has_aux to all gradient transformations
  • fix jaxmd
  • fix shallow ensemble (how do we make this compatible with e.g. ewald?)
  • add arbitrary property readout to PBP dataset
  • tests

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