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[DNM] add experiment of training torsion energies #163

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Do not merge: this is only a very partial, bare-bones experiment to see how much work it would be to use NAGL to a) train to non-atom properties (not so bad) and b) incorporate geometric information (more work...) and c) incorporate another trained parameter (quite a lot). My general conclusion is that b) and c) is likely not worth porting to the overall library, although open to anything as usual.

All the maths is very ad-hoc and absolutely needs double-checking and testing, especially the geometry functions. Everything currently is only implemented with the DGL backend.

cc @BenCree -- there's an example notebook here that runs through a very short example of what I think you and Danny were describing to me in our call, if you're interested. Happy to chat more if you want to discuss!

P.S. the Dataset code was a huge pain and very repetitive -- it probably needs refactoring.

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  • Tests?
  • Docs?
  • CHANGELOG updated?
  • Issue raised/referenced?

@BenCree
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BenCree commented Nov 25, 2024

This is amazing!! cheers. I'll dive into it now.

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