Evidence map›Paper›PMID 41946920›Full record

ArticleScientific reports2026

A novel computational study of reverse degree topological indices and entropies for nanostar dendrimers.

Ashfaq Ahmed Qummer, Muhammad Saqib, Shahbaz Ali, Mamo Abebe Ashebo, Sardor Jumaniyazov

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Ashfaq Ahmed QummerInstitute of Mathematics, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan, 64200, Pakistan.
Muhammad SaqibInstitute of Mathematics, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan, 64200, Pakistan.
Shahbaz AliDepartment of Mathematics, The Islamia University of Bahawalpur, Rahim Yar Khan Campus, 64200, Pakistan. shahbazali@iub.edu.pk.
Mamo Abebe AsheboDepartment of Mathematics, Wollega University, Nekemte, Ethiopia. mamoa@wollegauniversity.edu.et.
Sardor JumaniyazovDepartment of Technique, Urgench State University, Kh. Alimjan Str. 14, 221100, Urgench, Uzbekistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper is a topological study of nanostar dendrimers in the context of topological indices based on reverse degree. Nanostar dendrimers with highly branched structures and potential use in drug delivery and nanotechnology offer a challenge to structural analysis in terms of their complexity. The main aim of the work is to calculate and discuss some topological indices in reverse form, which can be used to obtain the necessary information concerning the molecular structure, the pattern of branches, and the connectivity. The indices are a good source of quantitative information on the hidden topology of nanostar dendrimers and their effects on chemical and physical characteristics. The findings indicate that reverse degree-based indices are very useful in defining the complex topological distributions of dendrimers, hence providing a strong mathematical framework, which contributes to subsequent developments in nanomaterials studies and their potential applications. Entropy-based topological measurements of polypropylenimine octaamine dendrimers and fullerene dendrimers have great advantages to chemists as a quantitative characterization of the molecular complexity, branching behaviors, and structural anomalies. Entropy measures based on degree-based edge partitions give the distribution of atomic connectivity and provide a rigorous method of comparing highly branched dendritic networks and cage-like carbon structures. We compute molecular entropies for polypropylenimine octaamine dendrimers and fullerene dendrimer networks.

Indexed as

EntropiesMolecular topologyNanobiotechnologyNanomaterials scienceNanostar dendrimersReverse degree indices

Identifiers

PMID41946920
PMCPMC13062093

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