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Topological analysis of carbon and boron nitride nanotubes
Graph theoretical concepts are broadly used in several fields to examine and model various applications. In computational chemistry, the characteristics of a molecular compound can be assessed with the help of a numerical value, known as a topological index. Topological indices are extensively used...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992812/ https://www.ncbi.nlm.nih.gov/pubmed/32001754 http://dx.doi.org/10.1038/s41598-020-58372-1 |
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author | Yousaf, Awais Alolaiyan, Hanan Nadeem, Muhammad Razaq, Abdul |
author_facet | Yousaf, Awais Alolaiyan, Hanan Nadeem, Muhammad Razaq, Abdul |
author_sort | Yousaf, Awais |
collection | PubMed |
description | Graph theoretical concepts are broadly used in several fields to examine and model various applications. In computational chemistry, the characteristics of a molecular compound can be assessed with the help of a numerical value, known as a topological index. Topological indices are extensively used to study the molecular mechanics in QSAR and QSPR modeling. In this study, we have developed the closed formulae to estimate ABC, ABC(4), GA, and GA(5) topological indices for the graphical structures of boron nitride and carbon nanotube. |
format | Online Article Text |
id | pubmed-6992812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69928122020-02-05 Topological analysis of carbon and boron nitride nanotubes Yousaf, Awais Alolaiyan, Hanan Nadeem, Muhammad Razaq, Abdul Sci Rep Article Graph theoretical concepts are broadly used in several fields to examine and model various applications. In computational chemistry, the characteristics of a molecular compound can be assessed with the help of a numerical value, known as a topological index. Topological indices are extensively used to study the molecular mechanics in QSAR and QSPR modeling. In this study, we have developed the closed formulae to estimate ABC, ABC(4), GA, and GA(5) topological indices for the graphical structures of boron nitride and carbon nanotube. Nature Publishing Group UK 2020-01-30 /pmc/articles/PMC6992812/ /pubmed/32001754 http://dx.doi.org/10.1038/s41598-020-58372-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yousaf, Awais Alolaiyan, Hanan Nadeem, Muhammad Razaq, Abdul Topological analysis of carbon and boron nitride nanotubes |
title | Topological analysis of carbon and boron nitride nanotubes |
title_full | Topological analysis of carbon and boron nitride nanotubes |
title_fullStr | Topological analysis of carbon and boron nitride nanotubes |
title_full_unstemmed | Topological analysis of carbon and boron nitride nanotubes |
title_short | Topological analysis of carbon and boron nitride nanotubes |
title_sort | topological analysis of carbon and boron nitride nanotubes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992812/ https://www.ncbi.nlm.nih.gov/pubmed/32001754 http://dx.doi.org/10.1038/s41598-020-58372-1 |
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