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Quantitative multichannel NC-AFM data analysis of graphene growth on SiC(0001)

Noncontact atomic force microscopy provides access to several complementary signals, such as topography, damping, and contact potential. The traditional presentation of such data sets in adjacent figures or in colour-coded pseudo-three-dimensional plots gives only a qualitative impression. We introd...

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Detalles Bibliográficos
Autores principales: Held, Christian, Seyller, Thomas, Bennewitz, Roland
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Beilstein-Institut 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3304321/
https://www.ncbi.nlm.nih.gov/pubmed/22428109
http://dx.doi.org/10.3762/bjnano.3.19
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author Held, Christian
Seyller, Thomas
Bennewitz, Roland
author_facet Held, Christian
Seyller, Thomas
Bennewitz, Roland
author_sort Held, Christian
collection PubMed
description Noncontact atomic force microscopy provides access to several complementary signals, such as topography, damping, and contact potential. The traditional presentation of such data sets in adjacent figures or in colour-coded pseudo-three-dimensional plots gives only a qualitative impression. We introduce two-dimensional histograms for the representation of multichannel NC-AFM data sets in a quantitative fashion. Presentation and analysis are exemplified for topography and contact-potential data for graphene grown epitaxially on 6H-SiC(0001), as recorded by Kelvin probe force microscopy in ultrahigh vacuum. Sample preparations by thermal decomposition in ultrahigh vacuum and in an argon atmosphere are compared and the respective growth mechanisms discussed.
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spelling pubmed-33043212012-03-16 Quantitative multichannel NC-AFM data analysis of graphene growth on SiC(0001) Held, Christian Seyller, Thomas Bennewitz, Roland Beilstein J Nanotechnol Full Research Paper Noncontact atomic force microscopy provides access to several complementary signals, such as topography, damping, and contact potential. The traditional presentation of such data sets in adjacent figures or in colour-coded pseudo-three-dimensional plots gives only a qualitative impression. We introduce two-dimensional histograms for the representation of multichannel NC-AFM data sets in a quantitative fashion. Presentation and analysis are exemplified for topography and contact-potential data for graphene grown epitaxially on 6H-SiC(0001), as recorded by Kelvin probe force microscopy in ultrahigh vacuum. Sample preparations by thermal decomposition in ultrahigh vacuum and in an argon atmosphere are compared and the respective growth mechanisms discussed. Beilstein-Institut 2012-02-29 /pmc/articles/PMC3304321/ /pubmed/22428109 http://dx.doi.org/10.3762/bjnano.3.19 Text en Copyright © 2012, Held et al. https://creativecommons.org/licenses/by/2.0https://www.beilstein-journals.org/bjnano/termsThis is an Open Access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The license is subject to the Beilstein Journal of Nanotechnology terms and conditions: (https://www.beilstein-journals.org/bjnano/terms)
spellingShingle Full Research Paper
Held, Christian
Seyller, Thomas
Bennewitz, Roland
Quantitative multichannel NC-AFM data analysis of graphene growth on SiC(0001)
title Quantitative multichannel NC-AFM data analysis of graphene growth on SiC(0001)
title_full Quantitative multichannel NC-AFM data analysis of graphene growth on SiC(0001)
title_fullStr Quantitative multichannel NC-AFM data analysis of graphene growth on SiC(0001)
title_full_unstemmed Quantitative multichannel NC-AFM data analysis of graphene growth on SiC(0001)
title_short Quantitative multichannel NC-AFM data analysis of graphene growth on SiC(0001)
title_sort quantitative multichannel nc-afm data analysis of graphene growth on sic(0001)
topic Full Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3304321/
https://www.ncbi.nlm.nih.gov/pubmed/22428109
http://dx.doi.org/10.3762/bjnano.3.19
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