Machine Learning-based Screening of Mn-PNP Catalysts for CO2 Reduction Reaction Using Region-wise Ligand-encoded Feature Matrix
DFT calculations have been performed for various pincer-based catalysts and trained the model with machine learning based approaches. The results show very accurate and efficient prediction of total reaction free energy of the considered catalysts for CO2 hydrogenation reaction in homogeneous catalysts.