Big data driven perovskite solar cell stability analysis

Zhuang Zhang, Huanhuan Wang, T. Jesper Jacobsson and Jingshan Luo ()
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Zhuang Zhang: Nankai University
Huanhuan Wang: Nankai University
T. Jesper Jacobsson: Nankai University
Jingshan Luo: Nankai University

Nature Communications, 2022, vol. 13, issue 1, 1-10

Abstract: Abstract During the last decade lead halide perovskites have shown great potential for photovoltaic applications. However, the stability of perovskite solar cells still restricts commercialization, and lack of properly implemented unified stability testing and disseminating standards makes it difficult to compare historical stability data for evaluating promising routes towards better device stability. Here, we propose a single indicator to describe device stability that normalizes the stability results with respect to different environmental stress conditions which enables a direct comparison of different stability results. Based on this indicator and an open dataset of heterogeneous stability data of over 7000 devices, we have conducted a statistical analysis to assess the effect of different stability improvement strategies. This provides important insights for achieving more stable perovskite solar cells and we also provide suggestions for future directions in the perovskite solar cell field based on big data utilization.

Date: 2022
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DOI: 10.1038/s41467-022-35400-4

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