QSPR Techniques Using Different Variants of the Nirmala Index

A subfield of graph theory called chemical graph theory ties mathematics to chemistry and biology. By visualizing each chemical as a graph, it has been possible to determine the structural stability and physical characteristics of distinct compounds. A topological index is referred to as a molecular descriptor in this manner. The goal of this work is to generalize a recently developed degree-based topological index for a common family of graphs and use it to identify the various physical parameters of some alkanes using a linear regression model. We find a strong correlation between the topological index and a compound's physical attribute using elementary statistics.

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Publication Details

Journal
Journal of Mines Metals and Fuels
Published
2024-12-20
DOI
https://doi.org/10.18311/jmmf/2023/47291
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
0.00
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article

QSPR Techniques Using Different Variants of the Nirmala Index

Kannan Bhuvaneshwari, Girish Sharma, L. N. Deekshitha
Journal of Mines Metals and Fuels
Graph theory and applications
article

QSPR Techniques Using Different Variants of the Nirmala Index

Kannan Bhuvaneshwari, Girish Sharma, L. N. Deekshitha
article en

Abstract

A subfield of graph theory called chemical graph theory ties mathematics to chemistry and biology. By visualizing each chemical as a graph, it has been possible to determine the structural stability and physical characteristics of distinct compounds. A topological index is referred to as a molecular descriptor in this manner. The goal of this work is to generalize a recently developed degree-based topological index for a common family of graphs and use it to identify the various physical parameters of some alkanes using a linear regression model. We find a strong correlation between the topological index and a compound's physical attribute using elementary statistics.

Journal of Mines Metals and Fuels
National College (MX)
Openalex Percentile: Top 62%
Graph theory and applications
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