Topological Study of Polycyclic Silicon Carbide Structure

Pan, Yong; Khalid, Asma; Ali, Parvez; Rehman, Aziz ur; Siddiqui, Muhammad Kamran; Ishtiaq, Muhammad; Liu, Jia‐Bao

doi:10.1080/10406638.2021.2024861

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…There are two principal conflicts of topological indices, first one is the degree-based topological and the below-average is known as distance-based topological indices. There are many such invariants are available in history [24]. K-Banhatti index and its other variant have great capability of expectation in the field of computer science, math, chemistry, drugs, informatics and power generation in setting with physical and chemical structures and networks [25].…”

Section: Literature Reviewmentioning

confidence: 99%

K-Banhatti Invariants Empowered Topological Investigation of Bridge Networks

Hamid¹,

Iqbal²,

Arif³

et al. 2022

Computers, Materials &Amp; Continua

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Any number that can be uniquely determined by a graph is called graph invariants. During the most recent twenty years' innumerable numerical graph invariants have been described and used for correlation analysis. In the fast and advanced environment of manufacturing of networks and other products which used different networks, no dependable assessment has been embraced to choose, how much these invariants are connected with a network graph or molecular graph. In this paper, it will talk about three distinct variations of bridge networks with great capability of expectation in the field of computer science, chemistry, physics, drug industry, informatics, and mathematics in setting with physical and synthetic constructions and networks, since K-Banhatti invariants are newly introduced and have various forecast characteristics for various variations of bridge graphs or networks. The review settled the topology of bridge graph/networks of three unique sorts with three types of K-Banhatti Indices. These concluded outcomes can be utilized for the modeling of interconnection networks of Personal computers (PC), networks like Local area network (LAN), Metropolitan area network (MAN) and Wide area network (WAN), the spine of internet and different networks/designs of PCs, power generation interconnection, bio-informatics and chemical structures.

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Section: Literature Reviewmentioning

confidence: 99%

K-Banhatti Invariants Empowered Topological Investigation of Bridge Networks

Hamid¹,

Iqbal²,

Arif³

et al. 2022

Computers, Materials &Amp; Continua

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“…2D silicon carbon (Si-C) monolayers can be sighted as formulationtunable substances between the unmixed 2D carbon monolayer-graphene and the unalloyed 2D silicon monolayer-silicene. Several attempts have been made toward anticipating the most stable structure of the Si-C sheet, for more detail see [32,[35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Neighborhood degree sum-based molecular indices and their comparative analysis of some silicon carbide networks

Das,

Kumar

2024

Phys. Scr.

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Topological indices of a molecular graph are numeric quantities that characterize its numerous physico-chemical properties, chemical reactivities and biological activities. The neighborhood M-polynomial is productive for discovering neighborhood degree sum-based topological indices. This article deals with computing the neighborhood M-polynomial of silicon carbide networks Si2C3-I[p, q], Si2C3-II[p, q] and Si2C3-III[p, q], and hence examining some standard neighborhood degree sumbased topological indices for the aforementioned networks. The obtained results are analyzed graphically. Moreover, a comparative study of the outcomes with some well-established degree-based topological indices of the silicon carbide networks is executed.

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“… 13 , 14 , Kulli proposed various novel degree-based TIs such as the first K-Banhatti index , the second K-Banhatti index , first K hyper-Banhatti index , the second K hyper-Banhatti index , the modified first K-Banhatti index , the modified second K-Banhatti index and the harmonic K-Banhatti index ( HB ( G )) of a graph G are defined as and respectively. And or represents the vertex u , and an edge e are incident in the graph G and numerous studies have been carried out on these indices so far 15 – 19 . But it is noticed that the chemical applicability of these indices have not been studied yet.…”

Section: Introductionmentioning

confidence: 99%

Chemical applicability and computation of K-Banhatti indices for benzenoid hydrocarbons and triazine-based covalent organic frameworks

Shanmukha,

Ismail,

Gowtham

et al. 2023

Sci Rep

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The novel applications in chemistry include the mathematical models of molecular structure of the compounds which has numerous findings in this area that refers to mathematical chemistry. Topological descriptors play a major role in QSAR/QSPR studies that analyses the biological and physicochemical properties of the compounds. In the recent times, a new type of topological descriptors are proposed, called K-Banhatti indices. In this study the chemical applicability of K-Banhatti indices are examined for benzenoid hydrocarbons (derivatives of benzene). These indices have shown remarkable results through the study of statistical analysis. Subsequently, triazine-based covalent organic frameworks (CoF’s) are studied for which $$B_1(G)$$ B 1 ( G ) , $$B_2(G)$$ B 2 ( G ) , $$HB_1(G)$$ H B 1 ( G ) , $$HB_2(G)$$ H B 2 ( G ) , $${}^mB_1(G)$$ m B 1 ( G ) , $${}^mB_2(G)$$ m B 2 ( G ) , and HB(G) of a graph G are computed.

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Topological Study of Polycyclic Silicon Carbide Structure

Cited by 5 publications

References 21 publications

K-Banhatti Invariants Empowered Topological Investigation of Bridge Networks

K-Banhatti Invariants Empowered Topological Investigation of Bridge Networks

Neighborhood degree sum-based molecular indices and their comparative analysis of some silicon carbide networks

Chemical applicability and computation of K-Banhatti indices for benzenoid hydrocarbons and triazine-based covalent organic frameworks

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