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Big data driven perovskite solar cell stability analysis
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 co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741627/ https://www.ncbi.nlm.nih.gov/pubmed/36496471 http://dx.doi.org/10.1038/s41467-022-35400-4 |
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author | Zhang, Zhuang Wang, Huanhuan Jacobsson, T. Jesper Luo, Jingshan |
author_facet | Zhang, Zhuang Wang, Huanhuan Jacobsson, T. Jesper Luo, Jingshan |
author_sort | Zhang, Zhuang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9741627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97416272022-12-12 Big data driven perovskite solar cell stability analysis Zhang, Zhuang Wang, Huanhuan Jacobsson, T. Jesper Luo, Jingshan Nat Commun Article 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. Nature Publishing Group UK 2022-12-10 /pmc/articles/PMC9741627/ /pubmed/36496471 http://dx.doi.org/10.1038/s41467-022-35400-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Zhuang Wang, Huanhuan Jacobsson, T. Jesper Luo, Jingshan Big data driven perovskite solar cell stability analysis |
title | Big data driven perovskite solar cell stability analysis |
title_full | Big data driven perovskite solar cell stability analysis |
title_fullStr | Big data driven perovskite solar cell stability analysis |
title_full_unstemmed | Big data driven perovskite solar cell stability analysis |
title_short | Big data driven perovskite solar cell stability analysis |
title_sort | big data driven perovskite solar cell stability analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741627/ https://www.ncbi.nlm.nih.gov/pubmed/36496471 http://dx.doi.org/10.1038/s41467-022-35400-4 |
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