For paper 'Artificial intuition for solving chemistry problems via an End-to-End approach'
we download the ASE format qm9 from SchNetPack.
you can get it directly from another repo of this paper: e2e_electron_counting
tensorflow 1.14, ASE, ...
python bond_cluster.py
python main.py -m type
python main.py -m xyz
python main.py -m ucfc
bond_cluster.py only contains 2 atoms cluster. We improve it in another repo e2e_reaction_public for further more atoms clustering work.