Abstract
A numeric quantity that characterizes the whole structure of a network is called a topological index. In the studies of QSAR and QSPR, the topological indices are utilized to predict the physical features related to the bioactivities and chemical reactivity in certain networks. Materials for 2D nanotubes have extraordinary chemical, mechanical, and physical capabilities. They are extremely thin nanomaterials with excellent chemical functionality and anisotropy. Since, 2D materials have the largest surface area and are the thinnest of all known materials, they are ideal for all applications that call for intense surface interactions on a small scale. In this paper, we derived closed formulae for some important neighborhood based irregular topological indices of the 2D nanotubes. Based on the obtained numerical values, a comparative analysis of these computed indices is also performed.
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Introduction
Carbon nanotubes (CNTs) are actually cylindrical molecules that comprise of rolled-up sheets of single-layer carbon atoms (graphene). They can be single-walled having a less than 1 nm (nm) diameter or multi-walled, comprising of numerous concentrically interlinked nanotubes, with around more than 100 nm diameters. Sumio Iijima discovered the multi-walled carbon nanotubes in 19911. CNTs are bonded with sp2 bonds chemically, an extremely strong form of molecular interaction. These nanotubes inherit electrical properties from graphene, which are determined by the rolling-up direction of the graphene layers. Apart from these, CNTs also have distinctive mechanical and thermal properties like light-weight, high tensile strength, low density, better thermal conductivity, high aspect ratio and high chemical stability. All these properties make them intriguing for new materials development, especially CNTs are best candidates for hydrogen storage cells, cathode ray tubes (CRTs), electronic devices, electron field emitters and transistors. Keeping in view their strong applicability and importance, it is very important to model and characterize these CNTs for a better understanding of their structural topology for enhancement of their physical properties.
The study of chemicals using a mathematical method is called mathematical chemistry. Chemical graph theory is a branch of chemistry that uses graph theory concepts to convert chemical events into mathematical models. The chemical graph is a simple connected graph in which atoms and chemical bonds are taken as vertices and edges respectively. A connected graph of order \(n = |V(G)|\) and size \(m = |E(G)|\) can be created with the help of G and edge set E. The focus of research in the area of nanotechnology is on atoms and Molecules. The Cartesian product of a path graph of m and n is called a 2D lattice.
Graph theory has emerged as a powerful tool for analyzing the structural properties of complex systems represented by graphs. Topological indices, which are numerical quantities derived from graph theory2,3,4,5,6,7,8, have gained significant attention due to their ability to concisely capture important graph properties. Degree-based topological indices specifically utilize the degrees of vertices in a graph to quantify its structural characteristics9.
Degree based indices, such as the Randić index, the atom-bond connectivity index, and the Harary index, capture the connectivity and branching patterns in a graph by considering the distances between pairs of vertices in relation to their degrees10,11,12,13,14. These indices have found wide applications in drug design, chemical graph theory, and network analysis15,16,17,18.
The Zagreb indices, including the first and second Zagreb indices, measure the sum of the vertex degrees and the product of vertex degrees, respectively19,20,21. These degree-based indices have been successfully applied in chemistry, network analysis, and mathematical chemistry. Variants of Zagreb indices, such as the geometric-arithmetic indices and the atom-bond connectivity indices, have been developed to enhance their discriminatory power22,23,24.
Randic-type indices, such as the augmented Zagreb index, the Randic connectivity index, and the atom-bond connectivity indices are derived from degree sequences and capture information regarding vertex degrees25. These indices have found applications in chemical graph theory, network analysis, and bioinformatics26,27.
Degree-based topological indices have found numerous applications across different disciplines, including chemistry, biology, materials science, and social network analysis. They have been utilized for drug design, chemical property prediction, molecular structure–property relationships, protein classification, community detection, and modeling complex networks28,29,30.
Recent research has focused on developing new degree-based topological indices with enhanced discriminative capabilities and exploring their applications in emerging areas, such as social networks, biological networks, and complex systems. Efforts have also been made to combine degree-based indices with other topological indices to capture more comprehensive structural information. Future directions involve investigating the theoretical properties of degree-based indices, developing efficient algorithms for their computation, and exploring their applications in further real-world problems31,32,33.
The application of Quantity Structure Activity Relationship (QSAR), which links biological structure and activity with certain constraints and properties of molecules as a result, is extensive in biology as well as in the pharmaceutical and medical fields34,35. Carbon nanotubes have an intriguing role because of its special application in chemical sciences. The chemical graph theory has found significant role in thousands of topological indicators. The irregularity topological indices are listed in Table 1.
Motivated by the above formulas, we have introduced some new neighborhood version of irregular topological indices in Table 2.
Numerous efforts have been made to investigate the topological indices for various nanotubes and nanosheets in the literature. The topological invariants of Pent-Heptagonal nanosheets and TURC4C8(S) are studied respectively in44,45. The topological indices of V-phenylenic type nanotori and nanotubes have been discussed in46, and armchair polyhex type nanotube in47. For detailed insights into the investigations on topological modeling and analysis of micro and nanostructures, one might consult refs27,30,32,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62. Despite all these investigations, the Nano structural topology has not yet been unveiled completely. In this study, we derived closed formulae for some neighborhood version of irregular topological indices of the nanotubes \(HA{C}_{5}{C}_{7}[p, q]\) and \(HA{C}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}[\mathrm{p},\mathrm{q}]\), and performed a comparative analysis based on the numerical results.
The HAC5C7[p, q] nanotubes (p, q > 1)
A trivalent adornment has remained complete by joining \({C}_{5}\) and \({C}_{7}\) and recognized as \({C}_{5}{C}_{7}\) net. It has been utilized to conceal both a tube and a torus. As a \({C}_{5}{C}_{7}\) net, the \(HA{C}_{5}{C}_{7}[p, q]\) nanotube can be studied. In 2007, Iranmanesh and Khormali calculated the vertex–Szeged index of \(HA{C}_{5}{C}_{7}\) nanotube. The two dimensional lattice of \(HA{C}_{5}{C}_{7}\) has been explained consistently. In the entire lattice, the number of heptagons and period are represented by p and q in row. There are \(8pq+p\) vertices and \(12pq-p\) edges, respectively . The three rows of \(HA{C}_{5}{C}_{7}\) is said to be mth period (Fig. 1). Consider the graph of \(HA{C}_{5}{C}_{7}\) is represented by G . The cardinality of vertex set is \(8pq+p\) and edge set is \(12pq-p\) for the graph G. The vertex set is divided into three categories based on their degrees. The order of vertex \({V}_{1}\) is 8pq. Similarly, \(|{V}_{2}|=2p+2\) ,\(\left|{V}_{3}\right|=8pq-p-2\). In the whole study, we denote the adjacent vertices by p and q, i.e. \(pq\in {E}_{G}.\) The edge set is divided into the subsequent sections according to their sum of neighborhood degree, called the frequency, which is shown in Table 3.
Theorem 1
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{7}[\mathrm{p },\mathrm{q}]\) then, \({N}_{AL}(\mathrm{G})= 10\mathrm{p}\)
Proof
By definition of \({N}_{AL}\left(\mathrm{G}\right)\) and from the neighborhood edge partitions in Table 3, one has
Theorem 2
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{7}[\mathrm{p },\mathrm{q}]\) then, \({N}_{IRL}(\mathrm{G})=1.3705867\mathrm{p}\)
Proof
Similar to the proof of theorem 1, one has
Theorem 3
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{7}[\mathrm{p },\mathrm{q}]\) then, \({N}_{IRRT}(G)=5p\)
Proof
Based on Table 3 and the definition of \({N}_{IRRT}\) we have
Theorem 4
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{7}[\mathrm{p },\mathrm{q}]\) then, \({N}_{IRF}(\mathrm{G})=16\mathrm{p}\)
Proof
Together Table 3 with the definition \(N_{IRF} \left( {\text{G}} \right) = \mathop \sum \limits_{{{\text{pq}}\epsilon{\text{E}}}} \left( {{\updelta }_{{\text{p}}} - {\updelta }_{q} } \right)^{2}\), one has
Theorem 5
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{7}[\mathrm{p },\mathrm{q}]\) then, \({N}_{IRA}(\mathrm{G})=0.0106268538\mathrm{p}\)
Proof
By definition \(N_{IRA} \left( {\text{G}} \right) = \mathop \sum \limits_{{{\text{pq}}\epsilon{\text{E}}}} \left( {{\updelta }_{{\text{p}}}^{{\frac{ - 1}{2}}} - {\updelta }_{{\text{q}}}^{{\frac{ - 1}{2}}} } \right)^{2}\)
Theorem 6
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{7}[\mathrm{p },\mathrm{q}]\) then, \({N}_{IRDIF}(\mathrm{G})=2.765846\mathrm{p}\)
Proof
By definition \({N}_{IRDIF}(\mathrm{G})={\sum }_{\mathrm{pq\epsilon E}}|\frac{{\updelta }_{\mathrm{p}}}{{\updelta }_{\mathrm{q}}}-\frac{{\updelta }_{\mathrm{q}}}{{\updelta }_{\mathrm{p}}}|\)
Theorem 7
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{7}[\mathrm{p },\mathrm{q}]\) then, \({N}_{IRLF}(\mathrm{G})=1.37363426\mathrm{p}\)
Proof
By definition \({N}_{IRLF}(\mathrm{G})={\sum }_{\mathrm{uv\epsilon E}}\frac{|{\updelta }_{\mathrm{p}}-{\updelta }_{\mathrm{q}}|}{\sqrt{{\updelta }_{\mathrm{p}}{\updelta }_{q}}}\)
Theorem 8
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{7}[\mathrm{p },\mathrm{q}]\) then, \({N}_{LA}(\mathrm{G})=1.36441441\mathrm{p}\)
Proof
By definition \({N}_{LA}(\mathrm{G})={\sum }_{\mathrm{pq\epsilon E}}\frac{|{\updelta }_{\mathrm{p}}-{\updelta }_{\mathrm{q}}|}{({\updelta }_{\mathrm{p}}+{\updelta }_{\mathrm{q}})}\)
Theorem 9
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{7}[\mathrm{p },\mathrm{q}]\) then, \({N}_{IRDI}(\mathrm{G})=6.068425221\mathrm{p}\)
Proof
By definition \({N}_{IRDI}(\mathrm{G})= {\sum }_{\mathrm{pq\epsilon E}}\mathrm{ln}(1+\left|{\updelta }_{\mathrm{p}}-{\updelta }_{\mathrm{q}}\right|)\)
Theorem 10
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{7}[\mathrm{p },\mathrm{q}]\) then, \({N}_{IRGA}\left(\mathrm{G}\right)=1.26918503\mathrm{p}\)
Proof
By definition \({N}_{IRGA}\left(\mathrm{G}\right)={\sum }_{\mathrm{uv\epsilon E}}\frac{\mathrm{ln}|{\updelta }_{p}+{\updelta }_{\mathrm{q}}|}{2\sqrt{{\updelta }_{\mathrm{p}}{\updelta }_{\mathrm{q}}}}\)
Theorem 11
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{7}[\mathrm{p },\mathrm{q}]\) then, \({N}_{IRB} (\mathrm{G})=0.5486855\mathrm{p}\)
Proof
By definition \(N_{IRB} { }\left( {\text{G}} \right) = \mathop \sum \limits_{{{\text{pq}}\epsilon{\text{E}}}} \left( {{\updelta }_{p}^{\frac{1}{2}} - {\updelta }_{q}^{\frac{1}{2}} } \right)^{2}\)
The HAC5C6C7[p, q] nanotubes (p, q > 1)
Let G be the graph of \({\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) nanotube. Then,
Theorem 12
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) be a graph as shown in Fig. 2. Then, \({N}_{AL}(\mathrm{G})=18\mathrm{p}\)
Proof
By definition of \({N}_{AL}(\mathrm{G})\) and Table 4 one has:
Theorem 13
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) be a graph as shown in Fig. 2. Then, \({N}_{IRL}\left(\mathrm{G}\right)=9\mathrm{p}\)
Proof
By definition \({N}_{IRL}\left(\mathrm{G}\right)={\sum }_{\mathrm{pq}\in \mathrm{E}}|\mathrm{ln}{\updelta }_{\mathrm{p}}-\mathrm{ln}{\updelta }_{\mathrm{q}}|\)
Theorem 14
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) be a graph as shown in Fig. 2. Then, \({N}_{IRRT}(\mathrm{G})=9\mathrm{p}\)
Proof
By definition \({N}_{IRRT}(G)=\frac{1}{2}{\sum }_{pq\epsilon E}\left|{\updelta }_{p}-{\updelta }_{q}\right|\)
Theorem 15
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) be a graph as shown in Fig. 2. Then, \({N}_{IRF}(\mathrm{G})=26\mathrm{p}\)
Proof
By definition \(N_{IRF} \left( {\text{G}} \right) = \mathop \sum \limits_{{{\text{pq}}\epsilon{\text{E}}}} \left( {{\updelta }_{{\text{p}}} - {\updelta }_{{\text{q}}} } \right)^{2}\)
Theorem 16
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) be a graph as shown in Fig. 2. Then, \({N}_{IRA}\left(\mathrm{G}\right)=0.0184628432\mathrm{p}\)
Proof
By definition \(N_{IRA} \left( {\text{G}} \right) = \mathop \sum \limits_{{{\text{pq}}\epsilon{\text{E}}}} \left( {{\updelta }_{{\text{p}}}^{{\frac{ - 1}{2}}} - {\updelta }_{{\text{q}}}^{{\frac{ - 1}{2}}} } \right)^{2}\)
Theorem 17
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) be a graph as shown in Fig. 2. Then, \({N}_{IRDIF}\mathrm{G})=5.051528\mathrm{p}\)
Proof
By definition \({N}_{IRDIF}(\mathrm{G})={\sum }_{\mathrm{pq\epsilon E}}|\frac{{\updelta }_{\mathrm{p}}}{{\updelta }_{\mathrm{q}}}-\frac{{\updelta }_{\mathrm{q}}}{{\updelta }_{\mathrm{p}}}|\)
Theorem 18
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) be a graph as shown in Fig. 2. Then, \({N}_{IRLF}(\mathrm{G})=2.510484\mathrm{p}\)
Proof
By definition \({N}_{IRLF}(\mathrm{G})={\sum }_{\mathrm{pq\epsilon E}}\frac{|{\updelta }_{\mathrm{p}}-{\updelta }_{\mathrm{q}}|}{\sqrt{{\updelta }_{\mathrm{p}}{\updelta }_{q}}}\)
Theorem 19
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) be a graph as shown in Fig. 2. Then, \({N}_{LA}(\mathrm{G})=2.495499845\mathrm{p}\)
Proof
By definition \({N}_{LA}(\mathrm{G})={\sum }_{\mathrm{pq\epsilon E}}\frac{|{\updelta }_{\mathrm{p}}-{\updelta }_{\mathrm{q}}|}{({\updelta }_{\mathrm{p}}+{\updelta }_{\mathrm{q}})}\)
Theorem 20
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) be a graph as shown in Fig. 2. Then, \({N}_{IRDI}(\mathrm{G})=8.553331516\mathrm{p}\)
Proof
By definition \({N}_{IRDI}(\mathrm{G})= {\sum }_{\mathrm{pq\epsilon E}}\mathrm{ln}(1+\left|{\updelta }_{\mathrm{p}}-{\updelta }_{\mathrm{q}}\right|)\)
Theorem 21
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) be a graph as shown in Fig. 2. Then, \({N}_{IRGA}(\mathrm{G})=0.06449422104\mathrm{p}\)
Proof
By definition \({N}_{IRGA}(\mathrm{G})={\sum }_{\mathrm{pq\epsilon E}}\frac{\mathrm{ln}|{\updelta }_{\mathrm{p}}+{\updelta }_{\mathrm{q}}|}{2\sqrt{{\updelta }_{\mathrm{p}}{\updelta }_{\mathrm{q}}}}\)
Theorem 22
Assume that \(G\in {\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) be a graph as shown in Fig. 2. Then, \(N_{IRB} \left( G \right) = 0.9130008{\text{p}}\)
Proof
By definition \(N_{IRB} \left( {\text{G}} \right) = \mathop \sum \limits_{{{\text{pq}}\epsilon{\text{E}}}} \left( {{\updelta }_{{\text{p}}}^{\frac{1}{2}} - {\updelta }_{{\text{q}}}^{\frac{1}{2}} } \right)^{2}\)
Numerical discussion and conclusion
In this section, we conclude our work with some important remarks. In Section "The HAC5C7[p, q] nanotubes (p, q > 1)" we constructed the structures of HAC5C7[p, q] nanotubes for \(p,q>1\). Based on Fig. 1a, b, we obtained the neighborhood edge partitions as shown in Table 3. With the help of these partitions, we determined the neighborhood irregularity topological indices. Moreover, the numerical and graphical comparisons among all considered topological indices are given in Table 5 and Fig. 3. Which shows that there is a positive relation between p, q and these topological indices. That is to say, when we increase the values of p and q the values of topological indices also increase. Hence, from this comparison it is easy to see that the value of \({N}_{IRF}\) index is higher than the values of remaining topological indices.
In Section "The HAC5C6C7[p, q] nanotubes (p, q > 1)", we constructed the structures of \({\mathrm{HAC}}_{5}{\mathrm{C}}_{6}{\mathrm{C}}_{7}\left[\mathrm{p},\mathrm{ q}\right]\) nanotubes for p,q > 1. Based on Fig. 2a, b, we obtained the edge partitions as shown in Table 4. With the help of these edge partitions, we determined the neighborhood irregularity topological indices. Moreover, the numerical and graphical comparisons among all considered topological indices are given in Table 6 and Fig. 4. Which shows that there is a positive relation between p, q and these topological indices, when we increase the values of p and q, the values of topological indices also increase. Hence, from this comparison it is easy to see that the value of \({N}_{IRF}\) index is higher than the values of remaining topological indices.
Data availability
All data generated or analysed during this study are included in this article.
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The authors A.U. and S.Z. have equally contributed to this manuscript in all stages, from conceptualization to the write-up of final draft. A.H., A.J. and M.B. Belay contributed in methodology, results and analysis.
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Ullah, A., Zaman, S., Hussain, A. et al. Derivation of mathematical closed form expressions for certain irregular topological indices of 2D nanotubes. Sci Rep 13, 11187 (2023). https://doi.org/10.1038/s41598-023-38386-1
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DOI: https://doi.org/10.1038/s41598-023-38386-1
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