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Autori principali: Nagesh, H. M., Siddiqui, Muhammad Kamran
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2405.18441
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author Nagesh, H. M.
Siddiqui, Muhammad Kamran
author_facet Nagesh, H. M.
Siddiqui, Muhammad Kamran
contents A numerical parameter, known as a topological index, is employed to represent the molecular structure of a compound by considering its graph-theoretical properties. In the study of quantitative structure-activity relationships (QSAR) and quantitative structure-property relationships (QSPR), topological indices are used to predict the physicochemical properties of chemical compounds. Graph entropies have evolved as information-theoretic tools to investigate the structural information of a molecular graph. In this study, we compute the Nirmala index, the first and second inverse Nirmala index of the complex structure of ruthenium bipyridine, with the help of its M-polynomial. Furthermore, entropy measures for the complex structure of ruthenium bipyridine are computed using Shannon's entropy model. The comparison between the Nirmala indices and their associated entropy measures is presented through numerical computation. The correlation between the Nirmala indices and associated entropy measurements is then examined using a regression model. Finally, it is shown that the structural characteristics and properties of the complex structure of ruthenium bipyridine will be predicted by Nirmala indices-based entropy measures rather than the Nirmala indices.
format Preprint
id arxiv_https___arxiv_org_abs_2405_18441
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On Nirmala indices based entropy measures for the complex structure of ruthenium bipyridine
Nagesh, H. M.
Siddiqui, Muhammad Kamran
Materials Science
Chemical Physics
A numerical parameter, known as a topological index, is employed to represent the molecular structure of a compound by considering its graph-theoretical properties. In the study of quantitative structure-activity relationships (QSAR) and quantitative structure-property relationships (QSPR), topological indices are used to predict the physicochemical properties of chemical compounds. Graph entropies have evolved as information-theoretic tools to investigate the structural information of a molecular graph. In this study, we compute the Nirmala index, the first and second inverse Nirmala index of the complex structure of ruthenium bipyridine, with the help of its M-polynomial. Furthermore, entropy measures for the complex structure of ruthenium bipyridine are computed using Shannon's entropy model. The comparison between the Nirmala indices and their associated entropy measures is presented through numerical computation. The correlation between the Nirmala indices and associated entropy measurements is then examined using a regression model. Finally, it is shown that the structural characteristics and properties of the complex structure of ruthenium bipyridine will be predicted by Nirmala indices-based entropy measures rather than the Nirmala indices.
title On Nirmala indices based entropy measures for the complex structure of ruthenium bipyridine
topic Materials Science
Chemical Physics
url https://arxiv.org/abs/2405.18441