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Atomic defect classification of the H–Si(100) surface through multi-mode scanning probe microscopy
The combination of scanning tunnelling microscopy (STM) and non-contact atomic force microscopy (nc-AFM) allows enhanced extraction and correlation of properties not readily available via a single imaging mode. We demonstrate this through the characterization and classification of several commonly f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Beilstein-Institut
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492692/ https://www.ncbi.nlm.nih.gov/pubmed/32974113 http://dx.doi.org/10.3762/bjnano.11.119 |
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author | Croshaw, Jeremiah Dienel, Thomas Huff, Taleana Wolkow, Robert |
author_facet | Croshaw, Jeremiah Dienel, Thomas Huff, Taleana Wolkow, Robert |
author_sort | Croshaw, Jeremiah |
collection | PubMed |
description | The combination of scanning tunnelling microscopy (STM) and non-contact atomic force microscopy (nc-AFM) allows enhanced extraction and correlation of properties not readily available via a single imaging mode. We demonstrate this through the characterization and classification of several commonly found defects of the hydrogen-terminated silicon (100)-2 × 1 surface (H–Si(100)-2 × 1) by using six unique imaging modes. The H–Si surface was chosen as it provides a promising platform for the development of atom scale devices, with recent work showing their creation through precise desorption or placement of surface hydrogen atoms. While samples with relatively large areas of the H–Si surface are routinely created using an in situ methodology, surface defects are inevitably formed reducing the area available for patterning. By probing the surface using the different interactivity afforded by either hydrogen- or silicon-terminated tips, we are able to extract new insights regarding the atomic and electronic structure of these defects. This allows for the confirmation of literature assignments of several commonly found defects, as well as proposed classifications of previously unreported and unassigned defects. By combining insights from multiple imaging modes, better understanding of their successes and shortcomings in identifying defect structures and origins is achieved. With this, we take the first steps toward enabling the creation of superior H–Si surfaces through an improved understanding of surface defects, ultimately leading to more consistent and reliable fabrication of atom scale devices. |
format | Online Article Text |
id | pubmed-7492692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Beilstein-Institut |
record_format | MEDLINE/PubMed |
spelling | pubmed-74926922020-09-23 Atomic defect classification of the H–Si(100) surface through multi-mode scanning probe microscopy Croshaw, Jeremiah Dienel, Thomas Huff, Taleana Wolkow, Robert Beilstein J Nanotechnol Full Research Paper The combination of scanning tunnelling microscopy (STM) and non-contact atomic force microscopy (nc-AFM) allows enhanced extraction and correlation of properties not readily available via a single imaging mode. We demonstrate this through the characterization and classification of several commonly found defects of the hydrogen-terminated silicon (100)-2 × 1 surface (H–Si(100)-2 × 1) by using six unique imaging modes. The H–Si surface was chosen as it provides a promising platform for the development of atom scale devices, with recent work showing their creation through precise desorption or placement of surface hydrogen atoms. While samples with relatively large areas of the H–Si surface are routinely created using an in situ methodology, surface defects are inevitably formed reducing the area available for patterning. By probing the surface using the different interactivity afforded by either hydrogen- or silicon-terminated tips, we are able to extract new insights regarding the atomic and electronic structure of these defects. This allows for the confirmation of literature assignments of several commonly found defects, as well as proposed classifications of previously unreported and unassigned defects. By combining insights from multiple imaging modes, better understanding of their successes and shortcomings in identifying defect structures and origins is achieved. With this, we take the first steps toward enabling the creation of superior H–Si surfaces through an improved understanding of surface defects, ultimately leading to more consistent and reliable fabrication of atom scale devices. Beilstein-Institut 2020-09-07 /pmc/articles/PMC7492692/ /pubmed/32974113 http://dx.doi.org/10.3762/bjnano.11.119 Text en Copyright © 2020, Croshaw et al. https://creativecommons.org/licenses/by/4.0https://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/4.0). Please note that the reuse, redistribution and reproduction in particular requires that the authors and source are credited. The license is subject to the Beilstein Journal of Nanotechnology terms and conditions: (https://www.beilstein-journals.org/bjnano/terms) |
spellingShingle | Full Research Paper Croshaw, Jeremiah Dienel, Thomas Huff, Taleana Wolkow, Robert Atomic defect classification of the H–Si(100) surface through multi-mode scanning probe microscopy |
title | Atomic defect classification of the H–Si(100) surface through multi-mode scanning probe microscopy |
title_full | Atomic defect classification of the H–Si(100) surface through multi-mode scanning probe microscopy |
title_fullStr | Atomic defect classification of the H–Si(100) surface through multi-mode scanning probe microscopy |
title_full_unstemmed | Atomic defect classification of the H–Si(100) surface through multi-mode scanning probe microscopy |
title_short | Atomic defect classification of the H–Si(100) surface through multi-mode scanning probe microscopy |
title_sort | atomic defect classification of the h–si(100) surface through multi-mode scanning probe microscopy |
topic | Full Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492692/ https://www.ncbi.nlm.nih.gov/pubmed/32974113 http://dx.doi.org/10.3762/bjnano.11.119 |
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