Jupyter notebooks and raw data for "Data-Driven Predictions of Power Conversion Efficiencies of Non-Fullerene Acceptor Organic Solar Cells" (https://pubs.acs.org/doi/abs/10.1021/acs.jpclett.2c00866).
The repository includes scripts for the formation and analysis of the proposed models, as well as scripts for the generation of the figures used.