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Machine Learning-Assisted Polymer Design for Improving the Performance of Non-Fullerene Organic Solar Cells.

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0 Published in 2022 at "ACS applied materials & interfaces"

DOI: 10.1021/acsami.2c06077

Abstract: Despite the progress in machine learning (ML) in terms of prediction of power conversion efficiency (PCE) in organic photovoltaics (OPV), the effectiveness of ML in practical applications is still lacking owing to the complex structure-property… read more here.

Keywords: polymer design; performance non; machine learning; fullerene ... See more keywords