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Quantitative secondary electron imaging for work function extraction at atomic level and layer identification of graphene
Two-dimensional (2D) materials usually have a layer-dependent work function, which require fast and accurate detection for the evaluation of their device performance. A detection technique with high throughput and high spatial resolution has not yet been explored. Using a scanning electron microscop...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754635/ https://www.ncbi.nlm.nih.gov/pubmed/26878907 http://dx.doi.org/10.1038/srep21045 |
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author | Zhou, Yangbo Fox, Daniel S Maguire, Pierce O’Connell, Robert Masters, Robert Rodenburg, Cornelia Wu, Hanchun Dapor, Maurizio Chen, Ying Zhang, Hongzhou |
author_facet | Zhou, Yangbo Fox, Daniel S Maguire, Pierce O’Connell, Robert Masters, Robert Rodenburg, Cornelia Wu, Hanchun Dapor, Maurizio Chen, Ying Zhang, Hongzhou |
author_sort | Zhou, Yangbo |
collection | PubMed |
description | Two-dimensional (2D) materials usually have a layer-dependent work function, which require fast and accurate detection for the evaluation of their device performance. A detection technique with high throughput and high spatial resolution has not yet been explored. Using a scanning electron microscope, we have developed and implemented a quantitative analytical technique which allows effective extraction of the work function of graphene. This technique uses the secondary electron contrast and has nanometre-resolved layer information. The measurement of few-layer graphene flakes shows the variation of work function between graphene layers with a precision of less than 10 meV. It is expected that this technique will prove extremely useful for researchers in a broad range of fields due to its revolutionary throughput and accuracy. |
format | Online Article Text |
id | pubmed-4754635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47546352016-02-24 Quantitative secondary electron imaging for work function extraction at atomic level and layer identification of graphene Zhou, Yangbo Fox, Daniel S Maguire, Pierce O’Connell, Robert Masters, Robert Rodenburg, Cornelia Wu, Hanchun Dapor, Maurizio Chen, Ying Zhang, Hongzhou Sci Rep Article Two-dimensional (2D) materials usually have a layer-dependent work function, which require fast and accurate detection for the evaluation of their device performance. A detection technique with high throughput and high spatial resolution has not yet been explored. Using a scanning electron microscope, we have developed and implemented a quantitative analytical technique which allows effective extraction of the work function of graphene. This technique uses the secondary electron contrast and has nanometre-resolved layer information. The measurement of few-layer graphene flakes shows the variation of work function between graphene layers with a precision of less than 10 meV. It is expected that this technique will prove extremely useful for researchers in a broad range of fields due to its revolutionary throughput and accuracy. Nature Publishing Group 2016-02-16 /pmc/articles/PMC4754635/ /pubmed/26878907 http://dx.doi.org/10.1038/srep21045 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhou, Yangbo Fox, Daniel S Maguire, Pierce O’Connell, Robert Masters, Robert Rodenburg, Cornelia Wu, Hanchun Dapor, Maurizio Chen, Ying Zhang, Hongzhou Quantitative secondary electron imaging for work function extraction at atomic level and layer identification of graphene |
title | Quantitative secondary electron imaging for work function extraction at atomic level and layer identification of graphene |
title_full | Quantitative secondary electron imaging for work function extraction at atomic level and layer identification of graphene |
title_fullStr | Quantitative secondary electron imaging for work function extraction at atomic level and layer identification of graphene |
title_full_unstemmed | Quantitative secondary electron imaging for work function extraction at atomic level and layer identification of graphene |
title_short | Quantitative secondary electron imaging for work function extraction at atomic level and layer identification of graphene |
title_sort | quantitative secondary electron imaging for work function extraction at atomic level and layer identification of graphene |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754635/ https://www.ncbi.nlm.nih.gov/pubmed/26878907 http://dx.doi.org/10.1038/srep21045 |
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