2022
DOI: 10.1155/2022/1053484
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On the Studies of Dendrimers via Connection-Based Molecular Descriptors

Abstract: Topological indices (TIs) have been utilized widely to characterize and model the chemical structures of various molecular compounds such as dendrimers, neural networks, and nanotubes. Dendrimers are extraordinarily comprehensible, globular, artificially synthesized polymers with a structure of frequently branched units. A mathematical approach to characterize the molecular structures by manipulating the topological techniques, including numerical graphs invariants is the present-day line of research in chemis… Show more

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Cited by 12 publications
(4 citation statements)
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References 23 publications
(27 reference statements)
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“…Further, Liu et al [25] found the topological properties of neural networks. Recently, Sattar et al [26][27][28] worked on computing the general expression of ZIs for two types of dendrimers. For the other terminologies not discussed in this paper, the readers are referred to [29][30][31].…”
Section: Introductionmentioning
confidence: 99%
“…Further, Liu et al [25] found the topological properties of neural networks. Recently, Sattar et al [26][27][28] worked on computing the general expression of ZIs for two types of dendrimers. For the other terminologies not discussed in this paper, the readers are referred to [29][30][31].…”
Section: Introductionmentioning
confidence: 99%
“…Cao et al [23] computed ZCIs of molecular graphs. Sattar et al [24][25][26] just discovered the CBZIs of dendrimer nanostars. Further, Ali et al [27] estimated modified CBZIs for T-sum graphs in 2020.…”
Section: Introductionmentioning
confidence: 99%
“…ese descriptors are used in measuring irregularity, connectivity, centrality, and peripherality in networks [24]. Topological indices for various networks have been studied in recent years [25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%