Evidence map›Paper›PMID 42156624›Full record

ArticleDiscover nano2026

Zagreb indices of hyper carbon nanotube graphs.

Ayesha Shabbir, Muhammad Faisal Nadeem, Yasir Bashir, Mohamad Nazri Husin, Yuslenita Muda

Abstract read
In one paragraph

Article in Discover nano, 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

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ayesha ShabbirDepartment of Physical Sciences, The University of Chenab, Gujrat, 50700, Pakistan.
Muhammad Faisal NadeemDepartment of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, 54000, Pakistan.
Yasir BashirDepartment of Mathematics, COMSATS University Islamabad, Wah Campus, Wah Cantt, 47040, Pakistan.
Mohamad Nazri HusinSpecial Interest Group on Modeling and Data Analytics - Applied Mathematics and Scientific Computing Research Group, Faculty of Computer Science and Mathematics, Universiti Malaysia Terengganu, Kuala Nerus, 21030, Terengganu, Malaysia. nazri.husin@umt.edu.my.
Yuslenita MudaDepartment of Mathematics, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim, Riau, Jln. HR Soebrantas Simpang Baru Panam, Pekanbaru, 28293, Indonesia.

Funding

Universiti Malaysia Terengganu UMT/MG1+2/2025/53616
6 · The paper itself

Abstract

Carbon nanotubes are cylindrical structures composed entirely of carbon atoms, renowned for their exceptional mechanical strength, electrical conductivity, and thermal stability. These unique properties have made them a cornerstone of modern nanoscience. Hyper carbon nanotube structures take this innovation further by creating hierarchical architectures, where atoms and bonds in a base scaffold are systematically replaced with larger nanotube-derived building blocks. This approach results in intricate, multi-scale carbon frameworks with enhanced functionality and wide-ranging potential applications in nanoelectronics, energy-storage devices, sensing, composite reinforcement, and targeted nanomaterials designing. Topological indices are graph invariants that encode structural information of molecular graphs and are widely used in quantitative structure property and quantitative structure activity studies to correlate chemical structure with physico-chemical behavior. In this paper, we propose and formalize a graph-theoretic construction of hyper armchair carbon nanotubes and compute closed-form expressions for Zagreb-type degree-based topological indices in both additive and multiplicative settings for this constructed family of graphs. Moreover, we present numerical comparisons along with graphical illustrations for representative parameter choices. To the best of our knowledge, this is the first paper on topological indices for this family of graphs.

Indexed as

Carbon nanostructuresHyper carbon nanotubesSuper carbon nanotubesY-shaped nanotube junctionsZagreb topological indices

Identifiers

PMID42156624
PMCPMC13187089

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LicenceCC BY-NC-ND
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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.