Degree-based Topological Characterization and Graph Energy Prediction of Silicon Carbide Network Si2C3-I[k, l] via Double Graph Operator

This study presents the precise formulation of the Nirmala index and the first and second inverse Nirmala indices for the double graph of the silicon carbide network Si2C3-I[k, l], using its M-polynomial. Entropy measures based on these indices are derived using Shannon’s entropy model. Numerical an...

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Main Authors: U. Vijaya Chandra Kumar, H. M. Nagesh, M. B. Madhusudana Reddy
Format: Article
Language:English
Published: Alexandru Ioan Cuza University of Iasi 2025-06-01
Series:Scientific Annals of Computer Science
Subjects:
Online Access:https://publications.info.uaic.ro/scientific-annals-of-computer-science/sacs-volumes/xxxv-1/degree-based-topological-characterization-and-graph-energy-prediction-of-silicon-carbide-network-via-double-graph-operator/
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author U. Vijaya Chandra Kumar
H. M. Nagesh
M. B. Madhusudana Reddy
author_facet U. Vijaya Chandra Kumar
H. M. Nagesh
M. B. Madhusudana Reddy
author_sort U. Vijaya Chandra Kumar
collection DOAJ
description This study presents the precise formulation of the Nirmala index and the first and second inverse Nirmala indices for the double graph of the silicon carbide network Si2C3-I[k, l], using its M-polynomial. Entropy measures based on these indices are derived using Shannon’s entropy model. Numerical and graphical comparisons are conducted between the Nirmala indices and their corresponding entropy measures. Curve fitting and Pearson correlation analysis are used to examine their relationships. Finally, the computed indices are employed to develop a predictive model for the graph energy of Si2C3-I[k, l] and estimate the HOMO-LUMO gap.
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language English
publishDate 2025-06-01
publisher Alexandru Ioan Cuza University of Iasi
record_format Article
series Scientific Annals of Computer Science
spelling doaj-art-7aa3c662ae2745ddb5633cd15be61dae2025-08-20T02:02:10ZengAlexandru Ioan Cuza University of IasiScientific Annals of Computer Science1843-81212248-26952025-06-01XXXV1538510.47743/SACS.2025.1.53Degree-based Topological Characterization and Graph Energy Prediction of Silicon Carbide Network Si2C3-I[k, l] via Double Graph OperatorU. Vijaya Chandra Kumar0H. M. Nagesh1M. B. Madhusudana Reddy2Department of Mathematics, School of Applied Sciences, REVA University, Bengaluru, IndiaDepartment of Science & Humanities, PES University, BengaluruDepartment of Chemistry, School of Applied Sciences, REVA University, Bengaluru, IndiaThis study presents the precise formulation of the Nirmala index and the first and second inverse Nirmala indices for the double graph of the silicon carbide network Si2C3-I[k, l], using its M-polynomial. Entropy measures based on these indices are derived using Shannon’s entropy model. Numerical and graphical comparisons are conducted between the Nirmala indices and their corresponding entropy measures. Curve fitting and Pearson correlation analysis are used to examine their relationships. Finally, the computed indices are employed to develop a predictive model for the graph energy of Si2C3-I[k, l] and estimate the HOMO-LUMO gap. https://publications.info.uaic.ro/scientific-annals-of-computer-science/sacs-volumes/xxxv-1/degree-based-topological-characterization-and-graph-energy-prediction-of-silicon-carbide-network-via-double-graph-operator/: nirmala indexfirst and second inverse nirmala indexgraph entropysilicon carbide networkdouble graph
spellingShingle U. Vijaya Chandra Kumar
H. M. Nagesh
M. B. Madhusudana Reddy
Degree-based Topological Characterization and Graph Energy Prediction of Silicon Carbide Network Si2C3-I[k, l] via Double Graph Operator
Scientific Annals of Computer Science
: nirmala index
first and second inverse nirmala index
graph entropy
silicon carbide network
double graph
title Degree-based Topological Characterization and Graph Energy Prediction of Silicon Carbide Network Si2C3-I[k, l] via Double Graph Operator
title_full Degree-based Topological Characterization and Graph Energy Prediction of Silicon Carbide Network Si2C3-I[k, l] via Double Graph Operator
title_fullStr Degree-based Topological Characterization and Graph Energy Prediction of Silicon Carbide Network Si2C3-I[k, l] via Double Graph Operator
title_full_unstemmed Degree-based Topological Characterization and Graph Energy Prediction of Silicon Carbide Network Si2C3-I[k, l] via Double Graph Operator
title_short Degree-based Topological Characterization and Graph Energy Prediction of Silicon Carbide Network Si2C3-I[k, l] via Double Graph Operator
title_sort degree based topological characterization and graph energy prediction of silicon carbide network si2c3 i k l via double graph operator
topic : nirmala index
first and second inverse nirmala index
graph entropy
silicon carbide network
double graph
url https://publications.info.uaic.ro/scientific-annals-of-computer-science/sacs-volumes/xxxv-1/degree-based-topological-characterization-and-graph-energy-prediction-of-silicon-carbide-network-via-double-graph-operator/
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AT mbmadhusudanareddy degreebasedtopologicalcharacterizationandgraphenergypredictionofsiliconcarbidenetworksi2c3iklviadoublegraphoperator