Machine learning of atomic force microscopy images of organic solar cells

We incorporated atomic force microscopy images of polymer : non-fullerene acceptor organic photovoltaics into machine learning, where fast Fourier transform and grey-level co-occurrence matrix were utilized to predict power conversion efficiencies.