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Atomic Simulations of (8,0)CNT-Graphene by SCC-DFTB Algorithm

Self-consistent density functional tight binding (SCC-DFTB) approaches were used to study optimized structures, energy, differential charge density, and Mülliken populations for the (8,0) carbon nanotubes (CNTs) connected to the graphene having different topology defects. Based on the calculations,...

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Detalles Bibliográficos
Autores principales: Wei, Lina, Zhang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027127/
https://www.ncbi.nlm.nih.gov/pubmed/35458069
http://dx.doi.org/10.3390/nano12081361
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author Wei, Lina
Zhang, Lin
author_facet Wei, Lina
Zhang, Lin
author_sort Wei, Lina
collection PubMed
description Self-consistent density functional tight binding (SCC-DFTB) approaches were used to study optimized structures, energy, differential charge density, and Mülliken populations for the (8,0) carbon nanotubes (CNTs) connected to the graphene having different topology defects. Based on the calculations, nine seamless (8,0)CNT-graphenes were selected. For these connected systems, geometric configurations of the graphene and nanotubes were characterized, and the nearest neighbor length of C-C atoms and average length were obtained. The intrinsic energy, energy gap, and chemical potential were analyzed, and they presented apparent differences for different connection modes. Differential charge densities of these connection modes were analyzed to present covalent bonds between the atoms. We have also thoroughly analyzed the Mülliken charge transfer among the C atoms at the junctions.
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spelling pubmed-90271272022-04-23 Atomic Simulations of (8,0)CNT-Graphene by SCC-DFTB Algorithm Wei, Lina Zhang, Lin Nanomaterials (Basel) Article Self-consistent density functional tight binding (SCC-DFTB) approaches were used to study optimized structures, energy, differential charge density, and Mülliken populations for the (8,0) carbon nanotubes (CNTs) connected to the graphene having different topology defects. Based on the calculations, nine seamless (8,0)CNT-graphenes were selected. For these connected systems, geometric configurations of the graphene and nanotubes were characterized, and the nearest neighbor length of C-C atoms and average length were obtained. The intrinsic energy, energy gap, and chemical potential were analyzed, and they presented apparent differences for different connection modes. Differential charge densities of these connection modes were analyzed to present covalent bonds between the atoms. We have also thoroughly analyzed the Mülliken charge transfer among the C atoms at the junctions. MDPI 2022-04-15 /pmc/articles/PMC9027127/ /pubmed/35458069 http://dx.doi.org/10.3390/nano12081361 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
Wei, Lina
Zhang, Lin
Atomic Simulations of (8,0)CNT-Graphene by SCC-DFTB Algorithm
title Atomic Simulations of (8,0)CNT-Graphene by SCC-DFTB Algorithm
title_full Atomic Simulations of (8,0)CNT-Graphene by SCC-DFTB Algorithm
title_fullStr Atomic Simulations of (8,0)CNT-Graphene by SCC-DFTB Algorithm
title_full_unstemmed Atomic Simulations of (8,0)CNT-Graphene by SCC-DFTB Algorithm
title_short Atomic Simulations of (8,0)CNT-Graphene by SCC-DFTB Algorithm
title_sort atomic simulations of (8,0)cnt-graphene by scc-dftb algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027127/
https://www.ncbi.nlm.nih.gov/pubmed/35458069
http://dx.doi.org/10.3390/nano12081361
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