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Original article
01 2021
:15;
103469
doi:
10.1016/j.arabjc.2021.103469

Analyzing the expressions for nanostructures via topological indices

Software Engineering Institute of Guangzhou, 510990 Guangzhou, China
Institute of Computing Science and Technology, Guangzhou University, 510006 Guangzhou, China
Department of Sciences and Humanities, National University of Computer and Emerging Sciences, Lahore Campus, B-Block, Faisal Town, Lahore, Pakistan
Department of Mathematics, University of Gujrat, Hafiz Hayat Campus, Gujrat, Pakistan
Department of Natural Sciences and Humanities, University of Engineering and Technology, Lahore (RCET), Pakistan

⁎Corresponding author. adnanaslam15@yahoo.com (Adnan Aslam)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Abstract

In molecular science, one of the key problem is to model a chemical compound and predict its chemical characteristic. Numerous hypothetical methods have been created by various analysts in this respect and one of them is concerned with the topological indices. A topological index is a numerical value attached with the structural graph of a molecule and is expected to predict certain chemical/physical properties of molecule [6]. Among the classes of topological indices, degree based topological indices play a vital role in chemical graph theory. In the current study, we compute the neighborhood second Zagreb index and the first extended first–order connectivity index of Planar zigzag nanotube PTUZC 6 , polyhex zigzag nanotube H 2 = TUZC 6 , polyhex zigzag nanotori TTUZC 6 , C 4 C 8 ( S ) [ m , n ] nanosheets, C 4 C 8 ( S ) [ m , n ] nanotubes, C 4 C 8 ( S ) [ m , n ] nanotori and armchair polyhex nanotubes TUAC 6 [ p , q ] .

Keywords

Keywords
Chemical graph theory
Zigzag polyhex nanostructure
Topological indices
05C09
05C92
PubMed
1

1 Introduction

Graph theory has played a significant role in chemistry in the last decades. Topological indices are essential in identifying the structures of chemical compounds. It is primarily a number associated with a chemical compound that has excellent features in chemistry. In quantitative structure–property relationship (QSPR) and quantitative structure–activity relationship (QSAR) studies, topological indices plays an important role. The QSAR and QSPR studies are undoubtedly of major importance in material sciences. Topological indices provide an overview of structural features of molecular graphs and reflects the physico-chemical properties of the activity/property under investigation (Randić, 1991; Tavakoli et al., 2013). To overview the structure–activity relationship, topological indices are required to effectively characterize structural features and bioactivity of chemical compounds (Balaban, 1979; Balaban et al., 1983; Balaban, 1988).

Let G be a finite, simple connected graph. In chemical graph theory, a molecular structure is a simple graph(a graph portraying chemical compounds) in which vertices correspond to the atoms and the edges corresponds to the bonds between the atoms. A numerical quantity of a chemical structure (molecular graph) which remains invariant under graph isomorphism is recognized as graph invariant. Topological index is an example of graph invariant. The most significant and widely used topological indices are degree-based topological indices. They have a remarkable application in mathematical chemistry.

For a vertex w V ( G ) , we use the notation N ( w ) for the set containing the vertices adjacent to w. The degree of a vertex w is the cardinality of the set N ( w ) and is denoted by d w . Let S ( w ) denote the sum of degrees of the vertices adjacent to w. In other words, S ( w ) = uw E ( G ) d u and N ( t ) = { v V ( G ) | tv E ( G ) } . For undefined terminologies related to graph theory, the author can read the following books (Gross and Yellen, 2000; Trinajstić, 1992; Godsil and Royle, 2001; Harary, 1969).

Consider the following general graph invariant I ( G ) = vw E ( G ) f ( S ( v ) , S ( w ) ) . Some special cases of the above invariants I have already been appeared in mathematical chemistry. For example, if we take f ( S ( v ) , S ( w ) ) = S ( v ) S ( w ) and 1 S ( v ) S ( w ) then I gives neighborhood second Zagreb index(Réti et al., 2019) and the first extended first-order connectivity index (Bonchev and Kier, 1992; Toropov et al., 1997; Wang and Zhou, 2014; Zhou and Trinajstić, 2009), respectively. These indices are defined as:

(1)
1 χ 1 ( G ) = vw E ( G ) 1 S v S w .
(2)
NM 2 ( G ) = uv E ( G ) S ( u ) S ( v ) .
In this paper we compute the first extended first-order connectivity index of polyhex zigzag nanotube TUZC 6 , 2D lattice of polyhex zigzag nanotube and polyhex zigzag nanotori TTUZC 6 . The same topological invariants are also computed for carbon nanosheet C 4 C 8 ( S ) [ m , n ] , carbon nanotube C 4 C 8 ( S ) [ m , n ] , carbon nanotori C 4 C 8 ( S ) [ m , n ] and armchair polyhex nanotubes TUAC 6 [ p , q ] . Detail about theoretical and computation aspects of some families of carbon nanotubes can be view in (Eliasi and Salehi, 2008; Eliasi and Taeri, 2008; Eliasi and Taeri, 2008; Kanabur, 2018; Diudea et al., 2004; Monajjemi et al., 2008; Xiao et al., 2010; Editorial, 2007; Wang et al., 2001; Stover and Normile, 1993; Chakrabarty et al., 2015; Zhang et al., 2014; Qiad et al., 2014; Mahmiani et al., 2012; Farahani, 2012; Zhang et al., 2019; Zhang et al., 2020; Shao et al., 2018; Liu, 2021).

2

2 Motivation

Topological indices are useful to predict certain physical and chemical properties of the underline molecule. To check the chemical applicability of 1 χ 1 and NM 2 , we find their correlation coefficient with different physical/chemical properties of octane isomers. The values of acentric factor and entropy obtained from experiments and the computed values of 1 χ 1 and NM 2 for octane isomers are depicted in Table 1. The correlation coefficients between the entropy, acentric factor and 1 χ 1 , NM 2 are presented in Table 2. Observe that both the topological indices 1 χ 1 and NM 2 shows a very good correlation with entropy and acentric factor of octane isomers and thus can be used to predict these properties.

Table 1 Values of Acentric factor, Entropy, NM 2 and 1 χ 1 of octane isomers.
Molecule Acentric Factor Entropy NM2 1 χ 1
2,2,3,3-Tretramethyl-butane 0.255294 93.06 217 0.068
2,4-Dimethyl-hexane 0.344223 106.98 121 0.091
2-Methyl-heptane 0.377916 109.84 98 0.101
2-Methyl-3-ethyl-pentane 0.332433 106.06 137 0.085
3-Ethyl-hexane 0.362472 109.43 115 0.093
2,2-Dimethyl-hexane 0.339426 103.42 132 0.087
3-Methyl-heptane 0.371002 111.26 106 0.097
2,3-Dimethyl-hexane 0.348247 108.02 129 0.088
2,5-Dimethyl-hexane 0.35683 105.72 113 0.094
2,2,4-Trimethyl-pentane 0.30537 104.09 147 0.082
4-Methyl-heptane 0.371504 109.32 107 0.096
3,3-Dimethyl-hexane 0.322596 104.74 148 0.082
3-Methyl-3-ethyl-pentane 0.306899 101.48 163 0.078
2,2,3-Trimethyl-pentane 0.300816 101.31 171 0.076
3,4-Dimethyl-hexane 0.340345 106.59 136 0.086
2,3,3-Trimethyl-pentane 0.293177 102.06 179 0.074
Octane 0.397898 111.67 84 0.104
2,3,4-Trimethyl-pentane 0.317422 102.39 151 0.081
Table 2 The square of correlation coefficient of NM 2 , 1 χ 1 with entropy and acentric factor.
NM 2 1 χ 1
Accentric factor 0.9708 0.9667
Entropy 0.8989 0.8418

One of the important use of topological indices is their discrimination power against octane isomers. The ability of discrimination of an index has applications within the coding and computer processing of molecular structures (isomers). The graphs of 18 octane isomers are depicted in Fig. 1. Let G p , q be the number of edges in a graph G having end vertices of degree p and q respectively. Two graphs H and K are said to be edge equivalent iff H p , q = K p , q . Observe that the graph O 3 and O 4 are edge equivalent having different values of 1 χ 1 and NM 2 ( 1 χ 1 ( O 3 ) = 0.097 , 1 χ 1 ( O 4 ) = 0.096 , NM 2 ( O 3 ) = 106 and NM 2 ( O 4 ) = 107 ). Similarly O 11 and O 12 are edge equivalent with different values of 1 χ 1 and NM 2 ( 1 χ 1 ( O 11 ) = 0.086 , 1 χ 1 ( O 12 ) = 0.087 , NM 2 ( O 3 ) = 136 and NM 2 ( O 4 ) = 137 ). By using the definition, one can check that all the octane isomers have different values of 1 χ 1 index. The same holds for NM 2 index. Hence the discriminatory power of these indices is much better than other bond incident degree indices.

Graphs of Octane isomers.
Fig. 1
Graphs of Octane isomers.

3

3 Results and Discussion

The most valuable nanomaterials available to scientists to achieve various experimentation and control objectives are carbon nanotubes(CNT). CNTs are important object to study because of their growing application in different fields especially in medical sciences. They have excellent features which include outstanding penetration capacity on the cellular membrane, strong drug load and therapeutic discharge capabilities dependent on pH. This make them fit for cancer and brain medications. CNTs as a medicine could attain great effectiveness, improve specificity and reduce side effects. Some investigations makes CNTs center of attention to treat and diagnose the central nervous system but the fundamental use of CNTs is in cancer treatment. (See Fig. 2).

2D structure of zigzag polyhex Lattice ( PTUZC 6 [ m , n ] ).
Fig. 2
2D structure of zigzag polyhex Lattice ( PTUZC 6 [ m , n ] ).

3.1

3.1 Results for Zigzag Polyhex Nanostructures

Graphene is a crystalline allotrope made from pure carbon atoms arranges in the form of two dimensional hexagonal lattice. It has unique properties containing best heat conductivity at room temperature and high optical transparency. zigzag polyhex lattice is a graphene lattice with m and n number of hexagons in each row and column respectively. We denote the graph of zigzag polyhex lattice by PTUZC 6 . The graph of PTUZC 6 is depicted in Fig. 4. A zigzag polyhex nanotube denoted by TUZC 6 [ m , n ] is obtained by rolling the graphene sheet into seamless tube such that vertical axis of the tube is parallel to the carbon–carbon bonds. We denote the Zigzag polyhex nanotorus by TTUZC 6 [ m , n ] and is obtained by joining the two ends of zigzag polyhex nanotube. The graphs of TUZC 6 [ m , n ] and TTUZC 6 [ m , n ] are depicted in Fig. 3 and Fig. 5 respectively. The order and size of each of these nanostructures is shown Table 3.

The 3D structure of polyhex zigzag nanotube( TUZC 6 [ m , n ] ).
Fig. 3
The 3D structure of polyhex zigzag nanotube( TUZC 6 [ m , n ] ).
2D structure of zigzag polyhex Lattice ( PTUZC 6 [ m , n ] ).
Fig. 4
2D structure of zigzag polyhex Lattice ( PTUZC 6 [ m , n ] ).
The 3D structure of polyhex zigzag nanotori ( TTUZC 6 [ m , n ] ).
Fig. 5
The 3D structure of polyhex zigzag nanotori ( TTUZC 6 [ m , n ] ).
Table 3 Types of zigzag polyhex Nanostructures.
TypesofNanostructures order size
PTUZC 6 2 n ( 2 m + 1 ) 6 mn + n - m
TUZC 6 4 mn 6 mn - 4 m
TTUZC 6 4 mn 6 mn

In the next Theorems, we compute the two connectivity indices (neighborhood second Zagreb index and the first extended first-order connectivity index) for the famous nanostructure PTUZC 6 [ m , n ] , TUZC 6 [ m , n ] and TTUZC 6 [ m , n ] . For this we need to partition the edge set of each nanostructure depending on the sum of the degree of neighbors of the end vertices of each edge.

Theorem 1

Let G be the graph of zigzag polyhex lattice, then 1 χ 1 ( G ) = 7 9 mn + ( 4 42 + 2 63 - 1 ) m + ( 2 10 + 2 18 - 303 180 ) n + 4 5 + 4 35 - 2 18 - 8 42 - 4 63 - 2 10 + 39 20 . NM 2 ( G ) = 567 mn - 1075 n - 435 m + 1223 .

Proof

Let E p , q ( G ) (or simply E p , q ) denotes the set containing those edges e = uv of graph G such that S ( u ) = p and S ( v ) = q . To compute 1 χ 1 ( G ) and NM 2 ( G ) , we need to partition the edge set into the sets of the form E p , q and compute the its cardinality. This information is presented in the Table 4. To have a good understanding of this computation, we have colored the edges with same color that lies in the same set E p , q (see Fig. 4). Now using the values from the Table 4 in the definition of 1 χ 1 ( G ) and NM 2 ( G ) , we get 1 χ 1 ( G ) = vw E ( G ) 1 S ( v ) S ( w ) = ( 8 ) 1 5 × 4 + ( 2 ( n - 2 ) ) 1 5 × 5 + ( 4 ) 1 7 × 5 + ( 4 ( n - 1 ) ) 1 8 × 5 + ( 4 ( m - 2 ) ) 1 6 × 7 + ( 2 ( m - 2 ) ) 1 9 × 7 + ( 2 ( n - 1 ) ) 1 8 × 8 + ( 4 ( n - 1 ) ) 1 8 × 9 + ( m - 3 ) ( 7 n - 9 ) 1 9 × 9 = 4 5 + 2 ( n - 2 ) 5 + 4 35 + 2 ( n - 1 ) 10 + 4 ( m - 2 ) 42 + 2 ( m - 2 ) 63 + n - 1 4 + 2 ( n - 1 ) 18 + ( m - 3 ) ( 7 n - 9 ) 9 = 7 9 mn + ( 4 42 + 2 63 - 1 ) m + ( 2 10 + 2 18 - 303 180 ) n + 4 5 + 4 35 - 2 18 - 8 42 - 4 63 - 2 10 + 39 20 . NM 2 ( G ) = vw E ( G ) S ( v ) S ( w ) = ( 8 ) ( 5 × 4 ) + ( 2 ( n - 2 ) ) ( 5 × 5 ) + ( 4 ) ( 7 × 5 ) + ( 4 ( n - 1 ) ) ( 8 × 5 ) + ( 4 ( m - 2 ) ) ( 6 × 7 ) + ( 2 ( m - 2 ) ) ( 9 × 7 ) + ( 2 ( n - 1 ) ) ( 8 × 8 ) + ( 4 ( n - 1 ) ) ( 8 × 9 ) + ( m - 3 ) ( 7 n - 9 ) ( 9 × 9 ) = 160 + 50 n - 100 + 140 + 160 n - 160 + 168 m - 336 + 126 m - 252 + 128 n - 128 + 288 n - 288 + 567 mn - 1701 n - 729 m + 2187 = 567 mn - 1075 n - 435 m + 1223 .  □

Theorem 2

Let G be the graph of zigzag polyhex nanotube, then 1 χ 1 ( G ) = 2 3 mn + ( 4 42 + 2 63 - 10 9 ) m . NM 2 ( G ) = 486 mn - 516 m .

Proof

The edge sets of the form E p , q of G and their cardinalities are depicted in Table 5. To have a good understanding of this computation, we have colored the edges with same color that lies in the same set E p , q (see Fig. 3). Now using the values from the Table 5 in the definition of 1 χ 1 ( G ) and NM 2 ( G ) , we get 1 χ 1 ( G ) = vw E ( G ) 1 S ( v ) S ( w ) = ( 4 m ) 1 6 × 7 + ( 2 m ) 1 9 × 7 + ( 6 mn - 10 m ) 1 9 × 9 = 2 3 mn + ( 4 42 + 2 63 - 10 9 ) m . NM 2 ( G ) = vw E ( G ) S ( v ) S ( w ) = ( 4 m ) ( 6 × 7 ) + ( 2 m ) ( 9 × 7 ) + ( 6 mn - 10 m ) ( 9 × 9 ) = 168 m + 126 m + 486 mn - 810 m = 486 mn - 516 m .  □

Theorem 3

Let G be the graph of zigzag polyhex nanotorus, then 1 χ 1 ( G ) = mn 3 . NM 2 ( G ) = 243 mn .

Proof

In G, all the edges are of the form E 9 , 9 . Hence we have 6 mn edges in the set E 9 , 9 and 1 χ 1 ( G ) = vw E ( G ) 1 S ( v ) S ( w ) = ( 6 mn ) 1 9 × 9 = 2 mn 3 . NM 2 ( G ) = vw E ( G ) S ( v ) S ( w ) = ( 6 mn ) ( 9 × 9 ) = 486 mn .  □

Table 4 The edge partitions of PTUZC 6 [ m , n ] .
E p , q Cardinality
E 4 , 5 8
E 5 , 5 2n-4
E 5 , 7 4
E 5 , 8 4n-4
E 6 , 7 4 m-8
E 7 , 9 2 m-4
E 8 , 8 2n-2
E 8 , 9 4n-4
E 9 , 9 (m-3)(7n-9)
Table 5 The edge partition of TUZC 6 [ m , n ] .
E p , q Cardinality
E 6 , 7 4 m
E 7 , 9 2 m
E 9 , 9 6mn-10 m

3.2

3.2 Results for Nanosheets, Nanotubes and Nanotori covered by C 4 and C 8

A mutual decoration created by alternating squares C 4 and octagons C 8 is referred to as C 4 C 8 nanosheet. C 4 C 8 ( S ) and C 4 C 8 ( R ) nanosheets are obtained by the positioning of C 4 squares and C 8 octagons. We denote the nanosheet with n hexagon in each row and m hexagons in each column by C 4 C 8 ( S ) [ m , n ] . The order and size of C 4 C 8 ( S ) [ m , n ] nanosheet are 8 mn and 12 mn - 2 m - 2 n respectively. Similarly, the nanosheet with m squares in each row and n squares in each column is denoted by C 4 C 8 ( R ) [ m , n ] . The order and size of C 4 C 8 ( S ) [ m , n ] nanosheet are 4 mn + 4 m + 4 n + 4 and 6 mn + 5 m + 5 n + 4 respectively. Fig. 6 and Fig. 7 depicts the graphs of C 4 C 8 ( R ) [ 3 , 5 ] and C 4 C 8 ( S ) [ 3 , 4 ] nanosheets respectively. These nanosheets have uniform thickness and are important due to their novel characteristics such as stability and flexibility. Significant application of nanosheets can be viewed in sensors, filtration membranes and even conductive coatings (Turchanin et al., 2009). The chemical, mechanical and thermal stability of these nanosheets is equally strong. For more information on the computation of different topological indices of these nanosheets, we refer the readers to (Al-Fozan et al., 2014; Manuel et al., 2013; Arockiaraj et al., 2016). In the next Theorems, we compute the two connectivity indices of these nanosheets.

Theorem 4

Let G be the graph of C 4 C 8 ( S ) [ m , n ] nanosheet, then 1 χ 1 ( G ) = 4 3 mn + ( 2 10 + 2 18 - 163 180 ) m + ( 2 10 + 2 18 - 163 180 ) n + 4 5 - 4 10 - 4 18 + 61 90 . NM 2 ( G ) = 972 mn - 508 m - 508 n + 168 .

Proof

The edge sets of the form E p , q of G and their cardinalities are depicted in Table 6. Now using the values from the Table 6 in the definition of 1 χ 1 ( G ) and NM 2 ( G ) , we get 1 χ 1 ( G ) = vw E ( G ) 1 S ( v ) S ( w ) = ( 4 ) 1 4 × 4 + ( 8 ) 1 4 × 5 + ( 2 m + 2 n - 8 ) 1 5 × 5 + ( 4 m + 4 n - 8 ) 1 5 × 8 + ( 2 m + 2 n - 4 ) 1 8 × 8 + ( 4 m + 4 n - 8 ) 1 8 × 9 + ( 12 mn - 14 m - 14 n + 16 ) 1 9 × 9 = 4 3 mn + ( 2 10 + 2 18 - 163 180 ) m + ( 2 10 + 2 18 - 163 180 ) n + 4 5 - 4 10 - 4 18 + 61 90 . NM 2 ( G ) = vw E ( G ) S ( v ) S ( w ) = ( 4 ) ( 4 × 4 ) + ( 8 ) ( 4 × 5 ) + ( 2 m + 2 n - 8 ) ( 5 × 5 ) + ( 4 m + 4 n - 8 ) ( 5 × 8 ) + ( 2 m + 2 n - 4 ) ( 8 × 8 ) + ( 4 m + 4 n - 8 ) ( 8 × 9 ) + ( 12 mn - 14 m - 14 n + 16 ) ( 9 × 9 ) = 972 mn - 508 m - 508 n + 168 .  □

Theorem 5

Let G be the graph of C 4 C 8 ( R ) [ m , n ] nanosheet, then 1 χ 1 ( G ) = 2 3 mn + ( 1 3 + 2 18 - 11 36 ) m + ( 1 3 + 2 18 - 11 36 ) n + 4 10 - 2 3 - 4 18 + 157 90 . NM 2 ( G ) = 486 mn + 203 m + 203 n + 40 .

Proof

The edge sets of the form E p , q of G and their cardinalities are depicted in Table 7. Now using the values from the Table 7 in the definition of 1 χ 1 ( G ) and NM 2 ( G ) , we get 1 χ 1 ( G ) = vw E ( G ) 1 S ( v ) S ( w ) = ( 4 ) 1 5 × 5 + ( 8 ) 1 5 × 8 + ( 4 m + 4 n - 8 ) 1 6 × 8 + ( 2 m + 2 n + 4 ) 1 8 × 8 + ( 4 m + 4 n - 8 ) 1 8 × 9 + ( 6 mn - 5 m - 5 n + 4 ) 1 9 × 9 = 2 3 mn + ( 1 3 + 2 18 - 11 36 ) m + ( 1 3 + 2 18 - 11 36 ) n + 4 10 - 2 3 - 4 18 + 157 90 . NM 2 ( G ) = vw E ( G ) S ( v ) S ( w ) = ( 4 ) ( 5 × 5 ) + ( 8 ) ( 5 × 8 ) + ( 4 m + 4 n - 8 ) ( 6 × 8 ) + ( 2 m + 2 n + 4 ) ( 8 × 8 ) + ( 4 m + 4 n - 8 ) ( 8 × 9 ) + ( 6 mn - 5 m - 5 n + 4 ) ( 9 × 9 ) = 486 mn + 203 m + 203 n + 40 .  □

The nanotube TUC 4 C 8 ( S ) [ m , n ] is obtained from the lattice C 4 C 8 ( S ) [ m , n ] by joining the dangling edges from the right to the leftmost vertex on the same row. The order and size of TUC 4 C 8 ( S ) [ m , n ] nanotube are 8 mn and 12 mn - 2 n respectively. The graph of TUC 4 C 8 ( S ) [ 3 , 4 ] nanotube is depicted in Fig. 8. Similarly, the nanotube TUC 4 C 8 ( R ) is obtained from the lattice C 4 C 8 ( R ) by joining the dangling edges from the right to the leftmost vertex on the same row. The order and size of TUC 4 C 8 ( R ) [ m , n ] nanotube are 4 mn + 4 m + 4 n + 4 and 6 mn + 6 m + 5 n + 5 respectively. The graph of TUC 4 C 8 ( R ) [ 3 , 5 ] nanotube is depicted in Fig. 9. Next we compute the connectivity indices of these two nanotubes.
Theorem 6

Let G be the graph of TUC 4 C 8 ( S ) [ m , n ] nanotube, then 1 χ 1 ( G ) = 4 3 mn + ( 2 10 + 2 18 - 163 180 ) n . NM 2 ( G ) = 972 mn - 508 n .

Proof

The edge sets of the form E p , q of G and their cardinalities are depicted in Table 8. Now using the values from the Table 8 in the definition of 1 χ 1 ( G ) and NM 2 ( G ) , we get 1 χ 1 ( G ) = vw E ( G ) 1 S ( v ) S ( w ) = ( 2 n ) 1 5 × 5 + ( 4 n ) 1 5 × 8 + ( 2 n ) 1 8 × 8 + ( 4 n ) 1 8 × 9 + ( 12 mn - 14 n ) 1 9 × 9 = 4 3 mn + ( 2 10 + 2 18 - 163 180 ) n . NM 2 ( G ) = vw E ( G ) S ( v ) S ( w ) = ( 2 n ) ( 5 × 5 ) + ( 4 n ) ( 5 × 8 ) + ( 2 n ) ( 8 × 8 ) + ( 4 n ) ( 8 × 9 ) + ( 12 mn - 14 n ) ( 9 × 9 ) = 972 mn - 508 n .  □

Theorem 7

Let G be the graph of TUC 4 C 8 ( R ) [ m , n ] nanotube, then 1 χ 1 ( G ) = 2 3 mn + 2 3 m + ( 1 3 + 2 3 - 11 36 ) n + 1 3 + 2 3 - 11 36 . NM 2 ( G ) = 486 mn + 486 m + 203 n + 203 .

Proof

The edge sets of the form E p , q of G and their cardinalities are depicted in Table 9. Now using the values from the Table 9 in the definition of 1 χ 1 ( G ) and NM 2 ( G ) , we get 1 χ 1 ( G ) = vw E ( G ) 1 S ( v ) S ( w ) = ( 4 n + 4 ) 1 6 × 8 + ( 2 n + 2 ) 1 8 × 8 + ( 4 n + 4 ) 1 8 × 9 + ( 6 mn + 6 m - 5 n - 5 ) 1 9 × 9 = 2 3 mn + 2 3 m + ( 1 3 + 2 3 - 11 36 ) n + 1 3 + 2 3 - 11 36 . NM 2 ( G ) = vw E ( G ) S ( v ) S ( w ) = ( 4 n + 4 ) ( 6 × 8 ) + ( 2 n + 2 ) ( 8 × 8 ) + ( 4 n + 4 ) ( 8 × 9 ) + ( 6 mn + 6 m - 5 n - 5 ) ( 9 × 9 ) = 486 mn + 486 m + 203 n + 203 .  □

The nanotori TC 4 C 8 ( S ) [ m , n ] is obtained from the nanotube TUC 4 C 8 ( S ) [ m , n ] by joining the dangling edges from the right to the leftmost vertex of same row and dangling edges from the bottom to the top vertices of the same column. The order and size of TC 4 C 8 ( S ) [ m , n ] nanotori are 8 mn and 12 mn respectively. The graph of TUC 4 C 8 ( S ) [ 3 , 4 ] nanotube is depicted in Fig. 10. Similarly, the nanotube TUC 4 C 8 ( R ) is obtained from the nanotube TUC 4 C 8 ( R ) by joining the dangling edges from the right to the leftmost vertex on the same row and dangling edges from the bottom to the top vertices of the same column. The order and size of TC 4 C 8 ( R ) [ m , n ] nanotori are 4 mn + 4 m + 4 n + 4 and 6 mn + m + n + 1 respectively. The graph of TUC 4 C 8 ( R ) [ 3 , 5 ] nanotori is depicted in Fig. 11. Next we compute the connectivity indices of these two nanotori.
Theorem 8

Let G and H be the graphs of TC 4 C 8 ( S ) [ m , n ] and TC 4 C 8 ( R ) [ m , n ] nanotori, then 1 χ 1 ( G ) = 4 3 mn . NM 2 ( G ) = 972 mn . 1 χ 1 ( H ) = 2 3 mn + 1 9 m + 1 9 n + 1 9 . NM 2 ( H ) = 486 mn + 81 m + 81 n + 81 .

Proof

Note that all the edges of G and H belongs to the set E 9 , 9 . The results follow from the definition of 1 χ 1 and NM 2 .  □

Structure of C 4 C 8 ( R ) [ 3 , 5 ] nanosheet.
Fig. 6
Structure of C 4 C 8 ( R ) [ 3 , 5 ] nanosheet.
Structure of C 4 C 8 ( S ) [ 3 , 4 ] nanosheet.
Fig. 7
Structure of C 4 C 8 ( S ) [ 3 , 4 ] nanosheet.
Table 6 Edge partition of C 4 C 8 ( S ) [ m , n ]
E p , q Cardinality
E 4 , 4 4
E 4 , 5 8
E 5 , 5 2 m  + 2n-8
E 5 , 8 4 m  + 4n-8
E 8 , 8 2 m  + 2n −4
E 8 , 9 4 m  + 4n-8
E 9 , 9 12mn - 14 m - 14n  + 16
Table 7 Edge partition of C 4 C 8 ( R ) [ m , n ] .
E p , q Cardinality
E 5 , 5 4
E 5 , 8 8
E 6 , 8 4 m  + 4n-8
E 8 , 8 2 m  + 2n  + 4
E 8 , 9 4 m  + 4n-8
E 9 , 9 6mn - 5 m −5n  + 4
Structure of TUC 4 C 8 ( S ) [ 3 , 4 ] .
Fig. 8
Structure of TUC 4 C 8 ( S ) [ 3 , 4 ] .
2D structure of TUC 4 C 8 ( R ) [ 3 , 5 ] .
Fig. 9
2D structure of TUC 4 C 8 ( R ) [ 3 , 5 ] .
Table 8 Edge partition of TUC 4 C 8 ( S ) [ m , n ] .
E p , q Cardinality
E 5 , 5 2n
E 5 , 8 4n
E 8 , 8 2n
E 8 , 9 4n
E 9 , 9 12mn - 14n
Table 9 Edge partition of TUC 4 C 8 ( R ) [ m , n ] .
E p , q Cardinality
E 6 , 8 4n + 4
E 8 , 8 2n + 2
E 8 , 9 4n + 4
E 9 , 9 6mn  + 6 m-5n-5
Structure of TUC 4 C 8 ( S ) [ 3 , 4 ] .
Fig. 10
Structure of TUC 4 C 8 ( S ) [ 3 , 4 ] .
2D structure of TUC 4 C 8 ( R ) [ 3 , 5 ] .
Fig. 11
2D structure of TUC 4 C 8 ( R ) [ 3 , 5 ] .

3.3

3.3 Armchair Polyhex Nanotubes

An Armchair Polyhex Nanotube denoted by TUZC 6 is obtained by rolling the graphene sheet into seamless tube such that horizantal axis of the tube is parallel to the carbon–carbon bonds. We use the notation TUZC 6 [ m , n ] for the armchair polyhex nanotube with m and n hexagons in each row and column respectively. The graph of TUZC 6 [ 10 , 6 ] is depicted in Fig. 12. The order and size of TUZC 6 [ m , n ] are 2 m ( n + 1 ) and 3 mn + 2 m respectively. Now, we compute the connectivity indices of TUZC 6 [ m , n ] .

Theorem 9

Let G be the graph of TUAC 6 [ m , n ] nanotube, then 1 χ 1 ( G ) = 1 3 mn + ( 1 10 + 1 18 - 43 360 ) m . NM 2 ( G ) = 243 mn - 11 m .

Proof

The edge sets of the form E p , q of G and their cardinalities are depicted in Table 10. Now using the values from the Table 10 in the definition of 1 χ 1 ( G ) and NM 2 ( G ) , we get 1 χ 1 ( G ) = vw E ( G ) 1 S ( v ) S ( w ) = ( m ) 1 5 × 5 + ( 2 m ) 1 5 × 8 + ( m ) 1 8 × 8 + ( 2 m ) 1 8 × 9 + ( 3 mn - 4 m ) 1 9 × 9 . = 1 3 mn + ( 1 10 + 1 18 - 43 360 ) m . NM 2 ( G ) = vw E ( G ) S ( v ) S ( w ) = ( m ) ( 5 × 5 ) + ( 2 m ) ( 5 × 8 ) + ( m ) ( 8 × 8 ) + ( 2 m ) ( 8 × 9 ) + ( 3 mn - 4 m ) ( 9 × 9 ) = 243 mn - 11 m .  □

Armchair Polyhex Nanotube TUAC 6 [ m , n ] for m = 10 and n = 6 .
Fig. 12
Armchair Polyhex Nanotube TUAC 6 [ m , n ] for m = 10 and n = 6 .
Table 10 Edge partitions of TUAC 6 [ m , n ] (depends on degree summation of neighbors of end vertices).
E p , q Cardinality
E 5 , 5 m
E 5 , 8 2 m
E 8 , 8 m
E 8 , 9 2 m
E 8 , 9 3mn-4 m

4

4 Conclusion

In this paper, we have analyzed different nanotubes graphs such as zigzag nanotures, C 4 C 8 ( S ) [ m , n ] nanostructure and armchair polyhex nanotubes TUAC 6 [ p , q ] through newly introduced topological indices. Topological indices consequently determined can assist us with understanding their physical characteristics, synthetic reactivity and natural exercises. These findings are precious and useful for scientists to comprehend profound behavior and construction of some carbon nanotubes. These findings are also significant contributors to the study of chemical graph theory, quantum chemistry, QSPR and QSAR.

5

5 Data availability statement

No data were used to support this study.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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