Evidence map›Paper›PMID 42519173›Full record

ArticleFrontiers in chemistry2026

Independent set-based multivariate graph polynomials for fractal-type silicate triangle structures.

K S Nithiya, D Easwaramoorthy

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

K S NithiyaDepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
D EaswaramoorthyDepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silicate structures are the mineral materials widely studied for their extraordinary structural complexity and versatility. They naturally exhibit self-similarity, making them well-suited for analysis through chemical graphs, graph polynomials, and fractal theory. Fractals, characterized by their self-replicating patterns and intricate structures, have found extensive applications across various domains, particularly in the study of graphical structures. Independence polynomials serve as mathematical representations of molecular and chemical graph structures and have proven to be a powerful tool for analyzing the intricate structural adjacency relationships in graph molecular structures. This article explores the fractal-type silicate triangle graph, characterized by recursive and iterative patterns, as a distinguished class of self-similar graphs. An innovative computational approach is presented for evaluating their independence polynomials and multivariate independence polynomials at specific iterations

Indexed as

fractal analysisindependence polynomialindependent setmultivariate independence polynomialself-similar graphsilicate triangle graph

Identifiers

PMID42519173
PMCPMC13381440

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.