2024
DOI: 10.1002/minf.202300217
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Predicting the bandgap and efficiency of perovskite solar cells using machine learning methods

Asad Khan,
Jeevan Kandel,
Hilal Tayara
et al.

Abstract: 30.0 Rapid and accurate prediction of bandgaps and efficiency of perovskite solar cells is a crucial challenge for various solar cell applications. Existing theoretical and experimental methods often accurately measure these parameters; however, these methods are costly and time‐consuming. Machine learning‐based approaches offer a promising and computationally efficient method to address this problem. In this study, we trained different machine learning(ML) models using previously reported experimental data. A… Show more

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Cited by 9 publications
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