/BPM

Bond-based polarizability machine learning model

Primary LanguageJupyter NotebookMIT LicenseMIT

Bond-based machine learning polarizability model

Journal reference: J. K. Sowa, P. J. Rossky (2024)

A Python implementation of the bond-based machine learning polarizability model.

The Run.ipynb jupyter notebook shows an example of a workflow for the training and testing of the model in the case of malonaldehyde (using only a subset of the data for expediency).