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Graphite, graphene on SiC, and graphene nanoribbons: Calculated images with a numerical FM-AFM
Background: Characterization at the atomic scale is becoming an achievable task for FM-AFM users equipped, for example, with a qPlus sensor. Nevertheless, calculations are necessary to fully interpret experimental images in some specific cases. In this context, we developed a numerical AFM (n-AFM) a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Beilstein-Institut
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3323920/ https://www.ncbi.nlm.nih.gov/pubmed/22497004 http://dx.doi.org/10.3762/bjnano.3.34 |
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author | Castanié, Fabien Nony, Laurent Gauthier, Sébastien Bouju, Xavier |
author_facet | Castanié, Fabien Nony, Laurent Gauthier, Sébastien Bouju, Xavier |
author_sort | Castanié, Fabien |
collection | PubMed |
description | Background: Characterization at the atomic scale is becoming an achievable task for FM-AFM users equipped, for example, with a qPlus sensor. Nevertheless, calculations are necessary to fully interpret experimental images in some specific cases. In this context, we developed a numerical AFM (n-AFM) able to be used in different modes and under different usage conditions. Results: Here, we tackled FM-AFM image calculations of three types of graphitic structures, namely a graphite surface, a graphene sheet on a silicon carbide substrate with a Si-terminated surface, and finally, a graphene nanoribbon. We compared static structures, meaning that all the tip and sample atoms are kept frozen in their equilibrium position, with dynamic systems, obtained with a molecular dynamics module allowing all the atoms to move freely during the probe oscillations. Conclusion: We found a very good agreement with experimental graphite and graphene images. The imaging process for the deposited nanoribbon demonstrates the stability of our n-AFM to image a non-perfectly planar substrate exhibiting a geometrical step as well as a material step. |
format | Online Article Text |
id | pubmed-3323920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Beilstein-Institut |
record_format | MEDLINE/PubMed |
spelling | pubmed-33239202012-04-11 Graphite, graphene on SiC, and graphene nanoribbons: Calculated images with a numerical FM-AFM Castanié, Fabien Nony, Laurent Gauthier, Sébastien Bouju, Xavier Beilstein J Nanotechnol Full Research Paper Background: Characterization at the atomic scale is becoming an achievable task for FM-AFM users equipped, for example, with a qPlus sensor. Nevertheless, calculations are necessary to fully interpret experimental images in some specific cases. In this context, we developed a numerical AFM (n-AFM) able to be used in different modes and under different usage conditions. Results: Here, we tackled FM-AFM image calculations of three types of graphitic structures, namely a graphite surface, a graphene sheet on a silicon carbide substrate with a Si-terminated surface, and finally, a graphene nanoribbon. We compared static structures, meaning that all the tip and sample atoms are kept frozen in their equilibrium position, with dynamic systems, obtained with a molecular dynamics module allowing all the atoms to move freely during the probe oscillations. Conclusion: We found a very good agreement with experimental graphite and graphene images. The imaging process for the deposited nanoribbon demonstrates the stability of our n-AFM to image a non-perfectly planar substrate exhibiting a geometrical step as well as a material step. Beilstein-Institut 2012-04-02 /pmc/articles/PMC3323920/ /pubmed/22497004 http://dx.doi.org/10.3762/bjnano.3.34 Text en Copyright © 2012, Castanié 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 Castanié, Fabien Nony, Laurent Gauthier, Sébastien Bouju, Xavier Graphite, graphene on SiC, and graphene nanoribbons: Calculated images with a numerical FM-AFM |
title | Graphite, graphene on SiC, and graphene nanoribbons: Calculated images with a numerical FM-AFM |
title_full | Graphite, graphene on SiC, and graphene nanoribbons: Calculated images with a numerical FM-AFM |
title_fullStr | Graphite, graphene on SiC, and graphene nanoribbons: Calculated images with a numerical FM-AFM |
title_full_unstemmed | Graphite, graphene on SiC, and graphene nanoribbons: Calculated images with a numerical FM-AFM |
title_short | Graphite, graphene on SiC, and graphene nanoribbons: Calculated images with a numerical FM-AFM |
title_sort | graphite, graphene on sic, and graphene nanoribbons: calculated images with a numerical fm-afm |
topic | Full Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3323920/ https://www.ncbi.nlm.nih.gov/pubmed/22497004 http://dx.doi.org/10.3762/bjnano.3.34 |
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