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How machine learning can help select capping layers to suppress perovskite degradation

Engineering and Technology

How machine learning can help select capping layers to suppress perovskite degradation

N. T. P. Hartono, J. Thapa, et al.

In an innovative study, researchers from MIT have unveiled a machine-learning framework designed to enhance the stability of perovskite solar cells. By exploring the use of 21 organic halide salts as capping layers, they discovered intriguing correlations between molecular features and stability, leading to a remarkable improvement in the longevity of MAPbI3 films.

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