Author

B. Grandidier

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Open access Aug 2026

Prediction of High-Performance Donor–Acceptor Pairs for Organic Photovoltaics with Machine Learning

A robust machine learning framework is developed designed to establish correlations between molecular structure and device performance and was used to predict new donor–acceptor pairs with PCEs above 20% and identify prospective candidates for further experimental validation.

Esther Mbina, B. Grandidier, Kekeli N'konou · Solar · 0 citations