As an example, the ANI-2x training includes additional torsion sampling, and the method In general, there is still the issue of applying ML to the prediction of molecules too far outside the scope of the training set. The inclusion of additional elements and an increase in diversity of molecules in the training set from diverse data sets such as PubchemQC should alleviate some of these challenges.