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Influence of Al-O and Al-C Clusters on Defects in Graphene Nanosheets Derived from Coal-Tar Pitch via Al(4)C(3) Precursor
By treating Al(4)C(3) as the precursor and growth environment, graphene nanosheets (GNs) can efficiently be derived from coal-tar pitch, which has the advantages of simple preparation process, high product quality, green environmental protection, low equipment requirements and low preparation cost....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608267/ https://www.ncbi.nlm.nih.gov/pubmed/36295377 http://dx.doi.org/10.3390/ma15207312 |
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author | Lin, Peng Zhang, Yinggan Cui, Zhou Xiong, Rui Wen, Cuilian Wu, Bo Lin, Qilang Sa, Baisheng |
author_facet | Lin, Peng Zhang, Yinggan Cui, Zhou Xiong, Rui Wen, Cuilian Wu, Bo Lin, Qilang Sa, Baisheng |
author_sort | Lin, Peng |
collection | PubMed |
description | By treating Al(4)C(3) as the precursor and growth environment, graphene nanosheets (GNs) can efficiently be derived from coal-tar pitch, which has the advantages of simple preparation process, high product quality, green environmental protection, low equipment requirements and low preparation cost. However, the defects in the prepared GNs have not been well understood. In order to optimize the preparation process, based on density functional theory calculations, the influence mechanism of Al-O and Al-C clusters on defects in GNs derived from coal-tar pitch via Al(4)C(3) precursor has been systematically investigated. With minute quantities of oxygen-containing defects, Al-O and Al-C clusters have been realized in the prepared GNs from X-ray photoelectron spectroscopy analysis. Therefore, the influences of Al-O and Al-C clusters on graphene with vacancy defects and oxygen-containing defects are systematically explored from theoretical energy, electron localization function and charge transfer analysis. It is noted that the remaining Al-O and Al-C clusters in GNs are inevitably from the thermodynamics point of view. On the other hand, the existence of defects is beneficial for the further adsorption of Al-O and Al-C clusters in GNs. |
format | Online Article Text |
id | pubmed-9608267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96082672022-10-28 Influence of Al-O and Al-C Clusters on Defects in Graphene Nanosheets Derived from Coal-Tar Pitch via Al(4)C(3) Precursor Lin, Peng Zhang, Yinggan Cui, Zhou Xiong, Rui Wen, Cuilian Wu, Bo Lin, Qilang Sa, Baisheng Materials (Basel) Article By treating Al(4)C(3) as the precursor and growth environment, graphene nanosheets (GNs) can efficiently be derived from coal-tar pitch, which has the advantages of simple preparation process, high product quality, green environmental protection, low equipment requirements and low preparation cost. However, the defects in the prepared GNs have not been well understood. In order to optimize the preparation process, based on density functional theory calculations, the influence mechanism of Al-O and Al-C clusters on defects in GNs derived from coal-tar pitch via Al(4)C(3) precursor has been systematically investigated. With minute quantities of oxygen-containing defects, Al-O and Al-C clusters have been realized in the prepared GNs from X-ray photoelectron spectroscopy analysis. Therefore, the influences of Al-O and Al-C clusters on graphene with vacancy defects and oxygen-containing defects are systematically explored from theoretical energy, electron localization function and charge transfer analysis. It is noted that the remaining Al-O and Al-C clusters in GNs are inevitably from the thermodynamics point of view. On the other hand, the existence of defects is beneficial for the further adsorption of Al-O and Al-C clusters in GNs. MDPI 2022-10-19 /pmc/articles/PMC9608267/ /pubmed/36295377 http://dx.doi.org/10.3390/ma15207312 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lin, Peng Zhang, Yinggan Cui, Zhou Xiong, Rui Wen, Cuilian Wu, Bo Lin, Qilang Sa, Baisheng Influence of Al-O and Al-C Clusters on Defects in Graphene Nanosheets Derived from Coal-Tar Pitch via Al(4)C(3) Precursor |
title | Influence of Al-O and Al-C Clusters on Defects in Graphene Nanosheets Derived from Coal-Tar Pitch via Al(4)C(3) Precursor |
title_full | Influence of Al-O and Al-C Clusters on Defects in Graphene Nanosheets Derived from Coal-Tar Pitch via Al(4)C(3) Precursor |
title_fullStr | Influence of Al-O and Al-C Clusters on Defects in Graphene Nanosheets Derived from Coal-Tar Pitch via Al(4)C(3) Precursor |
title_full_unstemmed | Influence of Al-O and Al-C Clusters on Defects in Graphene Nanosheets Derived from Coal-Tar Pitch via Al(4)C(3) Precursor |
title_short | Influence of Al-O and Al-C Clusters on Defects in Graphene Nanosheets Derived from Coal-Tar Pitch via Al(4)C(3) Precursor |
title_sort | influence of al-o and al-c clusters on defects in graphene nanosheets derived from coal-tar pitch via al(4)c(3) precursor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608267/ https://www.ncbi.nlm.nih.gov/pubmed/36295377 http://dx.doi.org/10.3390/ma15207312 |
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