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In Situ Scanning Transmission Electron Microscopy Study of MoS(2) Formation on Graphene with a Deep-Learning Framework
[Image: see text] Atomic-scale information is essential for understanding and designing unique structures and properties of two-dimensional (2D) materials. Recent developments in in situ transmission electron microscopy (TEM) and scanning transmission electron microscopy (STEM) enable research to pr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388093/ https://www.ncbi.nlm.nih.gov/pubmed/34471766 http://dx.doi.org/10.1021/acsomega.1c03002 |
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author | Lee, Yeongdong Lee, Jongyeong Chung, Handolsam Kim, Jaemin Lee, Zonghoon |
author_facet | Lee, Yeongdong Lee, Jongyeong Chung, Handolsam Kim, Jaemin Lee, Zonghoon |
author_sort | Lee, Yeongdong |
collection | PubMed |
description | [Image: see text] Atomic-scale information is essential for understanding and designing unique structures and properties of two-dimensional (2D) materials. Recent developments in in situ transmission electron microscopy (TEM) and scanning transmission electron microscopy (STEM) enable research to provide abundant insights into the growth of nanomaterials. In this study, 2D MoS(2) is synthesized on a suspended graphene substrate inside a TEM column through thermolysis of the ammonium tetrathiomolybdate (NH(4))(2)MoS(4) precursor at 500 °C. To avoid misinterpretation of the in situ STEM images, a deep-learning framework, DeepSTEM, is developed. The DeepSTEM framework successfully reconstructs an object function in atomic-resolution STEM imaging for accurate determination of the atomic structure and dynamic analysis. In situ STEM imaging with DeepSTEM enables observation of the edge configuration, formation, and reknitting progress of MoS(2) clusters with the formation of a mirror twin boundary. The synthesized MoS(2)/graphene heterostructure shows various twist angles, as revealed by atomic-resolution TEM. This deep-learning framework-assisted in situ STEM imaging provides atomic information for in-depth studies on the growth and structure of 2D materials and shows the potential use of deep-learning techniques in 2D material research. |
format | Online Article Text |
id | pubmed-8388093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-83880932021-08-31 In Situ Scanning Transmission Electron Microscopy Study of MoS(2) Formation on Graphene with a Deep-Learning Framework Lee, Yeongdong Lee, Jongyeong Chung, Handolsam Kim, Jaemin Lee, Zonghoon ACS Omega [Image: see text] Atomic-scale information is essential for understanding and designing unique structures and properties of two-dimensional (2D) materials. Recent developments in in situ transmission electron microscopy (TEM) and scanning transmission electron microscopy (STEM) enable research to provide abundant insights into the growth of nanomaterials. In this study, 2D MoS(2) is synthesized on a suspended graphene substrate inside a TEM column through thermolysis of the ammonium tetrathiomolybdate (NH(4))(2)MoS(4) precursor at 500 °C. To avoid misinterpretation of the in situ STEM images, a deep-learning framework, DeepSTEM, is developed. The DeepSTEM framework successfully reconstructs an object function in atomic-resolution STEM imaging for accurate determination of the atomic structure and dynamic analysis. In situ STEM imaging with DeepSTEM enables observation of the edge configuration, formation, and reknitting progress of MoS(2) clusters with the formation of a mirror twin boundary. The synthesized MoS(2)/graphene heterostructure shows various twist angles, as revealed by atomic-resolution TEM. This deep-learning framework-assisted in situ STEM imaging provides atomic information for in-depth studies on the growth and structure of 2D materials and shows the potential use of deep-learning techniques in 2D material research. American Chemical Society 2021-08-10 /pmc/articles/PMC8388093/ /pubmed/34471766 http://dx.doi.org/10.1021/acsomega.1c03002 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Lee, Yeongdong Lee, Jongyeong Chung, Handolsam Kim, Jaemin Lee, Zonghoon In Situ Scanning Transmission Electron Microscopy Study of MoS(2) Formation on Graphene with a Deep-Learning Framework |
title | In Situ Scanning Transmission Electron Microscopy
Study of MoS(2) Formation on Graphene with a Deep-Learning
Framework |
title_full | In Situ Scanning Transmission Electron Microscopy
Study of MoS(2) Formation on Graphene with a Deep-Learning
Framework |
title_fullStr | In Situ Scanning Transmission Electron Microscopy
Study of MoS(2) Formation on Graphene with a Deep-Learning
Framework |
title_full_unstemmed | In Situ Scanning Transmission Electron Microscopy
Study of MoS(2) Formation on Graphene with a Deep-Learning
Framework |
title_short | In Situ Scanning Transmission Electron Microscopy
Study of MoS(2) Formation on Graphene with a Deep-Learning
Framework |
title_sort | in situ scanning transmission electron microscopy
study of mos(2) formation on graphene with a deep-learning
framework |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388093/ https://www.ncbi.nlm.nih.gov/pubmed/34471766 http://dx.doi.org/10.1021/acsomega.1c03002 |
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