Predicting Power Conversion Efficiency Of Organic PV Cells

Researchers From ARC Centre Of Excellence In Exciton Science Use Machine Learning To Sort Out Potential Donor & Acceptor Materials For Organic PV Applications To Use For Green Energy Applications

Australian researchers claim to have figured out a new type of machine learning model to predict power conversion efficiency (PCE) of materials for use in next-generation organic photovoltaic (OPV) cells, an approach they state to be quick, easy to u.

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