Ayeshmadu / QM40_dataset_for_MLView on GitHub
QM40 is a QMx type of dataset which includes 150K molecules optimized from B3LYP/6-31G(2df,p) level of theory in the Gaussian16 with QM parameters, optimized coordinates, Mulliken charges and Local vibrational mode parameters as a quantitative measurer of the bond strengths.
20Mar 25, 2025Updated last year

Alternatives and similar repositories for QM40_dataset_for_ML

Users that are interested in QM40_dataset_for_ML are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.

Sorting:

Are these results useful?