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

The stability of perovskite solar cells can be improved by using hybrid-organic perovskites capping-layers atop the active material. Here the authors use machine learning to optimize capping layers by monitoring time to degradation of differently capped lead-halide perovskite solar cells.

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Autores principales:	Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/861c90d6759a4ed095d7c0e936f97937
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spelling	oai:doaj.org-article:861c90d6759a4ed095d7c0e936f979372021-12-02T17:08:26ZHow machine learning can help select capping layers to suppress perovskite degradation10.1038/s41467-020-17945-42041-1723https://doaj.org/article/861c90d6759a4ed095d7c0e936f979372020-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17945-4https://doaj.org/toc/2041-1723The stability of perovskite solar cells can be improved by using hybrid-organic perovskites capping-layers atop the active material. Here the authors use machine learning to optimize capping layers by monitoring time to degradation of differently capped lead-halide perovskite solar cells.Noor Titan Putri HartonoJanak ThapaArmi TiihonenFelipe OviedoClio BataliJason J. YooZhe LiuRuipeng LiDavid Fuertes MarrónMoungi G. BawendiTonio BuonassisiShijing SunNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Noor Titan Putri Hartono Janak Thapa Armi Tiihonen Felipe Oviedo Clio Batali Jason J. Yoo Zhe Liu Ruipeng Li David Fuertes Marrón Moungi G. Bawendi Tonio Buonassisi Shijing Sun How machine learning can help select capping layers to suppress perovskite degradation
description	The stability of perovskite solar cells can be improved by using hybrid-organic perovskites capping-layers atop the active material. Here the authors use machine learning to optimize capping layers by monitoring time to degradation of differently capped lead-halide perovskite solar cells.
format	article
author	Noor Titan Putri Hartono Janak Thapa Armi Tiihonen Felipe Oviedo Clio Batali Jason J. Yoo Zhe Liu Ruipeng Li David Fuertes Marrón Moungi G. Bawendi Tonio Buonassisi Shijing Sun
author_facet	Noor Titan Putri Hartono Janak Thapa Armi Tiihonen Felipe Oviedo Clio Batali Jason J. Yoo Zhe Liu Ruipeng Li David Fuertes Marrón Moungi G. Bawendi Tonio Buonassisi Shijing Sun
author_sort	Noor Titan Putri Hartono
title	How machine learning can help select capping layers to suppress perovskite degradation
title_short	How machine learning can help select capping layers to suppress perovskite degradation
title_full	How machine learning can help select capping layers to suppress perovskite degradation
title_fullStr	How machine learning can help select capping layers to suppress perovskite degradation
title_full_unstemmed	How machine learning can help select capping layers to suppress perovskite degradation
title_sort	how machine learning can help select capping layers to suppress perovskite degradation
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/861c90d6759a4ed095d7c0e936f97937
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How machine learning can help select capping layers to suppress perovskite degradation

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