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I think this is now ready for reviewing. Though the current results with In terms of the implementation, thie current state hasn't reached an ideal state. The calculation of the The second thing is how we do "unfolding" in
Tests showed that the second way can generate fewer atoms and thus can save runtime from the model inference, while an extra NL calculation also costs time. My intuition is that which one is faster depends on the system size. Also maybe we need a tutorial about how to use this wrapper. |
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| def test_heat_flux_wrapper_rejects_non_eV_energy(model_in_kcal_per_mol): | ||
| with pytest.raises(ValueError, match="energy outputs in eV"): | ||
| HeatFluxWrapper(model_in_kcal_per_mol) |
…emove some tests
… outputs of i-pi Fix CI Try again Again Add an example on how to use the wrapper Update documentation Try to fix docs again Hopefully the last fix
…l but with different unit
Co-authored-by: Guillaume Fraux <luthaf@luthaf.fr>
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Closes #104
This is still in a very early stage and subjected to change.
TODO:
Remove Replace the dependency onvesin.metatomicwithvesin.torchand rebuild neighbor list from the un-unfolded system (Hard to build the neighboring information between the replica atoms, e.g. atoms in different image boxes. Andvesin.metatomicis not supposed to be used inmetatomic.)Contributor (creator of pull-request) checklist
Reviewer checklist