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Implements #63.
This is a first draft of AIMNet2 support. The current implementation assumes that you have downloaded the file aimnet2_wb97m-d3_ens.jpt from https://github.com/isayevlab/AIMNet2 and it's in your current working directory. Once conda packages become available, I'll modify it to use them instead. AIMNet2 does not currently support cutoffs or periodic boundary conditions. Hopefully they will be coming soon.
To test the performance, I tried simulating alanine dipeptide in vacuum (22 atoms) and compared it to ANI-2x. It takes 25.9 ms per step, compared to 0.97 ms for ANI. Hopefully there's room for it to be optimized.