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Mathematical analysis and molecular descriptors of two novel metal–organic models with chemical applications
Metal–Organic Networks (MONs) are made by chemical molecules that contain metal ions and organic ligands. A crystalline porous solid called Metal–Organic Networks (MONs) is made up of a [Formula: see text] metal network of ions held in place by a multidentate ligand. (MONs) can be used for gas stora...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066202/ https://www.ncbi.nlm.nih.gov/pubmed/37002273 http://dx.doi.org/10.1038/s41598-023-32347-4 |
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author | Zaman, Shahid Jalani, Mehwish Ullah, Asad Ahmad, Wakeel Saeedi, Ghulamullah |
author_facet | Zaman, Shahid Jalani, Mehwish Ullah, Asad Ahmad, Wakeel Saeedi, Ghulamullah |
author_sort | Zaman, Shahid |
collection | PubMed |
description | Metal–Organic Networks (MONs) are made by chemical molecules that contain metal ions and organic ligands. A crystalline porous solid called Metal–Organic Networks (MONs) is made up of a [Formula: see text] metal network of ions held in place by a multidentate ligand. (MONs) can be used for gas storage, purification drug delivery, gas separation, catalysis, and sensing applications. There is enormous potential for effective integration and research of MONs in diverse applications. Molecular descriptors are arithmetic measures that reveal a chemical substance's physical and chemical characteristics in its foundational network in a natural relationship. They demonstrate an important role in theoretical and ecological chemistry, and in the field of medicine. In this research, we calculated various recently discovered molecular descriptors viz. the modified version of second zagreb index, harmonic index, reciprocal randic index, modified version of forgotten topological index, redefined first zagreb topological index, redefined second zagreb topological index and redefined third zagreb topological index for two separate metal–organic networks. The numerical and graphical comparative analysis of these considered molecular descriptors are also performed. |
format | Online Article Text |
id | pubmed-10066202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100662022023-04-02 Mathematical analysis and molecular descriptors of two novel metal–organic models with chemical applications Zaman, Shahid Jalani, Mehwish Ullah, Asad Ahmad, Wakeel Saeedi, Ghulamullah Sci Rep Article Metal–Organic Networks (MONs) are made by chemical molecules that contain metal ions and organic ligands. A crystalline porous solid called Metal–Organic Networks (MONs) is made up of a [Formula: see text] metal network of ions held in place by a multidentate ligand. (MONs) can be used for gas storage, purification drug delivery, gas separation, catalysis, and sensing applications. There is enormous potential for effective integration and research of MONs in diverse applications. Molecular descriptors are arithmetic measures that reveal a chemical substance's physical and chemical characteristics in its foundational network in a natural relationship. They demonstrate an important role in theoretical and ecological chemistry, and in the field of medicine. In this research, we calculated various recently discovered molecular descriptors viz. the modified version of second zagreb index, harmonic index, reciprocal randic index, modified version of forgotten topological index, redefined first zagreb topological index, redefined second zagreb topological index and redefined third zagreb topological index for two separate metal–organic networks. The numerical and graphical comparative analysis of these considered molecular descriptors are also performed. Nature Publishing Group UK 2023-03-31 /pmc/articles/PMC10066202/ /pubmed/37002273 http://dx.doi.org/10.1038/s41598-023-32347-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zaman, Shahid Jalani, Mehwish Ullah, Asad Ahmad, Wakeel Saeedi, Ghulamullah Mathematical analysis and molecular descriptors of two novel metal–organic models with chemical applications |
title | Mathematical analysis and molecular descriptors of two novel metal–organic models with chemical applications |
title_full | Mathematical analysis and molecular descriptors of two novel metal–organic models with chemical applications |
title_fullStr | Mathematical analysis and molecular descriptors of two novel metal–organic models with chemical applications |
title_full_unstemmed | Mathematical analysis and molecular descriptors of two novel metal–organic models with chemical applications |
title_short | Mathematical analysis and molecular descriptors of two novel metal–organic models with chemical applications |
title_sort | mathematical analysis and molecular descriptors of two novel metal–organic models with chemical applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066202/ https://www.ncbi.nlm.nih.gov/pubmed/37002273 http://dx.doi.org/10.1038/s41598-023-32347-4 |
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