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Extraction technique of trap states based on transient photo-voltage measurement
This article puts forward a technique for extracting the density of trap states (DOS(T)) distribution based on the transient photo-voltage (TPV) measurement result. We prove that when the TPV result is linear, the DOS(T) distribution is exponential type and vice versa. Compared to the approach based...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393153/ https://www.ncbi.nlm.nih.gov/pubmed/32732950 http://dx.doi.org/10.1038/s41598-020-69914-y |
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author | Lin, Zedong |
author_facet | Lin, Zedong |
author_sort | Lin, Zedong |
collection | PubMed |
description | This article puts forward a technique for extracting the density of trap states (DOS(T)) distribution based on the transient photo-voltage (TPV) measurement result. We prove that when the TPV result is linear, the DOS(T) distribution is exponential type and vice versa. Compared to the approach based on the space charge limited current measurement, the method given in this paper has the advantage of requiring less calculation. The results obtained by our method provides a guidance for preparing less trap states solar cells. |
format | Online Article Text |
id | pubmed-7393153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73931532020-08-03 Extraction technique of trap states based on transient photo-voltage measurement Lin, Zedong Sci Rep Article This article puts forward a technique for extracting the density of trap states (DOS(T)) distribution based on the transient photo-voltage (TPV) measurement result. We prove that when the TPV result is linear, the DOS(T) distribution is exponential type and vice versa. Compared to the approach based on the space charge limited current measurement, the method given in this paper has the advantage of requiring less calculation. The results obtained by our method provides a guidance for preparing less trap states solar cells. Nature Publishing Group UK 2020-07-30 /pmc/articles/PMC7393153/ /pubmed/32732950 http://dx.doi.org/10.1038/s41598-020-69914-y Text en © The Author(s) 2020 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/. |
spellingShingle | Article Lin, Zedong Extraction technique of trap states based on transient photo-voltage measurement |
title | Extraction technique of trap states based on transient photo-voltage measurement |
title_full | Extraction technique of trap states based on transient photo-voltage measurement |
title_fullStr | Extraction technique of trap states based on transient photo-voltage measurement |
title_full_unstemmed | Extraction technique of trap states based on transient photo-voltage measurement |
title_short | Extraction technique of trap states based on transient photo-voltage measurement |
title_sort | extraction technique of trap states based on transient photo-voltage measurement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393153/ https://www.ncbi.nlm.nih.gov/pubmed/32732950 http://dx.doi.org/10.1038/s41598-020-69914-y |
work_keys_str_mv | AT linzedong extractiontechniqueoftrapstatesbasedontransientphotovoltagemeasurement |