Machine learning predicts perovskite solar cell voltage, current, and fill factor from transmission and photoluminescence spectra of the absorber film alone, with moderate R2 values and no released code or external validation.
Nature Communications, 2021
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Predicting Organic-Inorganic Halide Perovskite Photovoltaic Performance from Optical Properties of Constituent Films through Machine Learning
Machine learning predicts perovskite solar cell voltage, current, and fill factor from transmission and photoluminescence spectra of the absorber film alone, with moderate R2 values and no released code or external validation.