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Research Article | Open Access

Generalized M-polynomial and graphical invariants of silicate cage networks with applications to property prediction

Zhang Yan1, Muhammad Salman2( ), Syed Shahzaib2, Imran Khalid3, Hanen Karamti4
School of Information Engineering, Anhui International Business Vocational College, Hefei, China
Department of Mathematics, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan
Center for Advanced Studies in Pure and Applied Mathematics, Bahauddin Zakariya University, Multan 60800, Pakistan
Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
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Abstract

This study introduces a generalized M-polynomial framework for the structural analysis of silicate cage molecular networks. From the molecular graph representation, several degree-based topological indices are derived, including Zagreb indices, the Randić index, the inverse Randić index, the symmetric division index, the harmonic index, the sum inverse index, and the augmented Zagreb index. The proposed formulation incorporates degree-weighted parameters, enabling a systematic characterization of structural complexity in terms of network parameters such as the number of layers and replicated units. Case-wise analysis for different structural configurations shows consistent trends in all indices, reflecting their sensitivity to molecular growth and connectivity. Overall, the results demonstrate that the proposed framework provides a unified and scalable approach for analyzing silicate cage networks. The obtained indices effectively capture structural variations and offer useful insights for graph-theoretical studies of complex molecular systems.

CLC number: 05C10, 68R05, 68R10, 68T01

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AIMS Mathematics
Pages 21743-21780

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Cite this article:
Yan Z, Salman M, Shahzaib S, et al. Generalized M-polynomial and graphical invariants of silicate cage networks with applications to property prediction. AIMS Mathematics, 2026, 11(7): 21743-21780. https://doi.org/10.3934/math.2026880

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Received: 20 May 2026
Revised: 08 July 2026
Accepted: 10 July 2026
Published: 15 July 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)