Memristive property’s effects on the I–V characteristics of perovskite solar cells

Abstract The unfavorable I–V characteristics of perovskite solar cells (PSCs), such as the I–V hysteresis phenomena, have been one major obstacle for their future practical application. However, corresponding analysis based on traditional theories have shown non-negligible flaws and failed for satis...

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Main Authors: Kai Yan, Bin Dong, Xinyu Xiao, Si Chen, Buxin Chen, Xue Gao, Hsienwei Hu, Wen Wen, Jingbo Zhou, Dechun Zou
Format: Article
Language:English
Published: Nature Publishing Group 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-05508-5
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spelling doaj-dc4107a13ac8497fb77fe2023c81cb8e2020-12-08T02:32:01ZengNature Publishing GroupScientific Reports2045-23222017-07-01711810.1038/s41598-017-05508-5Memristive property’s effects on the I–V characteristics of perovskite solar cellsKai Yan0Bin Dong1Xinyu Xiao2Si Chen3Buxin Chen4Xue Gao5Hsienwei Hu6Wen Wen7Jingbo Zhou8Dechun Zou9Beijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking UniversityBeijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking UniversityBeijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking UniversityBeijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking UniversityBeijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking UniversityBeijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking UniversityBeijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking UniversityBeijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking UniversityBeijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking UniversityBeijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking UniversityAbstract The unfavorable I–V characteristics of perovskite solar cells (PSCs), such as the I–V hysteresis phenomena, have been one major obstacle for their future practical application. However, corresponding analysis based on traditional theories have shown non-negligible flaws and failed for satisfactory explanation. To present a novel mechanism, here we utilize for the first time the memristive property of the perovskite material to analyze the I–V characteristics of PSCs. The obtained joint physical model and the deduced equation may help solving the long-existent mysteries of the I–V characteristics of PSCs. On the basis of our analysis and memristor theory, we also propose an original device optimization strategy for PSCs, which may help further increase their performance to the limit.https://doi.org/10.1038/s41598-017-05508-5
collection DOAJ
language English
format Article
sources DOAJ
author Kai Yan
Bin Dong
Xinyu Xiao
Si Chen
Buxin Chen
Xue Gao
Hsienwei Hu
Wen Wen
Jingbo Zhou
Dechun Zou
spellingShingle Kai Yan
Bin Dong
Xinyu Xiao
Si Chen
Buxin Chen
Xue Gao
Hsienwei Hu
Wen Wen
Jingbo Zhou
Dechun Zou
Memristive property’s effects on the I–V characteristics of perovskite solar cells
Scientific Reports
author_facet Kai Yan
Bin Dong
Xinyu Xiao
Si Chen
Buxin Chen
Xue Gao
Hsienwei Hu
Wen Wen
Jingbo Zhou
Dechun Zou
author_sort Kai Yan
title Memristive property’s effects on the I–V characteristics of perovskite solar cells
title_short Memristive property’s effects on the I–V characteristics of perovskite solar cells
title_full Memristive property’s effects on the I–V characteristics of perovskite solar cells
title_fullStr Memristive property’s effects on the I–V characteristics of perovskite solar cells
title_full_unstemmed Memristive property’s effects on the I–V characteristics of perovskite solar cells
title_sort memristive property’s effects on the i–v characteristics of perovskite solar cells
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2017-07-01
description Abstract The unfavorable I–V characteristics of perovskite solar cells (PSCs), such as the I–V hysteresis phenomena, have been one major obstacle for their future practical application. However, corresponding analysis based on traditional theories have shown non-negligible flaws and failed for satisfactory explanation. To present a novel mechanism, here we utilize for the first time the memristive property of the perovskite material to analyze the I–V characteristics of PSCs. The obtained joint physical model and the deduced equation may help solving the long-existent mysteries of the I–V characteristics of PSCs. On the basis of our analysis and memristor theory, we also propose an original device optimization strategy for PSCs, which may help further increase their performance to the limit.
url https://doi.org/10.1038/s41598-017-05508-5
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