Introduction

With the aid of mathematical tools, mathematical chemistry discusses and predicts the chemical properties of molecules by using its structure. It is a branch of mathematics combining graph theory with mathematical chemistry to model chemical phenomena mathematically. Chemical sciences rely heavily on this theory.

Molecular graphs are simple graphs where atoms are represented by vertices, and chemical bonds are represented by edges. It is common for molecular graphs to omit hydrogen atoms. Consider a molecular graph G where its vertex set is \(V(G)={v_1,v_2,\ldots ,v_n}\) and its edge set is E(G). The order of graph G is represented by \(|V(G)| = n\). An edge in E(G) with end vertices u and v is denoted by uv. The degree of a vertex is the number of edges incident on v and denoted as \(d_G(v)\) or \(d_v\). That is, \(d_v=|N(v)|\). The neighborhood \(N_G(v)\) of a vertex \(v\in V(G)\) is the set of vertices adjacent to v, that is, \(N_G(v) = \{w\in V(G) ~|~ vw \in E(G)\}\). The sum of degrees of all the vertices adjacent to a vertex \(u\in V(G)\) is defined as \(S_u = \sum \nolimits _{v\in N(u)} d_v\).

A set \(S\subseteq E(G)\) is called an edge-cut of a connected graph G if \(G-S\) is disconnected, where \(G-S\) is the graph obtained from G by deleting all the edges of S from G. The distance between two vertices is defined as the number of edges in shortest path connecting them. It is also called graph geodesic distance. Let an edge \(e=uv\) and v be a vertex then the distance between edge e and vertex v is defined as \(d(e, v) = \min \{ d(x, v),d(y, v) \}\).

Two edges \(e = uv\) and \(f = xy\) of a graph G are called codistant, denoted as ecof, if \(d(v,x) = d(v,y) + 1 = d(u,x) + 1 = d(u,y)\). The relation co is reflexive and symmetric but not necessarily transitive. When relation co is transitive in a graph G, then G is called a co-graph. In this case, E(G) is union of disjoint equivalence classes of the relation co known as orthogonal cuts.

For \(e = uv \in E(G)\), the number of vertices and edges lying closer to an end-vertex of e are define as \(N_u(e)\) and \(M_u(e)\). The \(n_u(e)\) define as the number of vertices of G closer to u than v. Similarly, the \(m_u (e)\) define as the number of edges of G closer to u than v. These number are obtained from the sets defined as follows.

$$\begin{aligned} N_u (e\,|\,G)= & {} \{x \in V(G) ~|~ d_G (u,x) < d_G (v,x)\}, \end{aligned}$$
(1)
$$\begin{aligned} M_u (e\,|\,G)= & {} \{f \in E(G) ~|~ d_G (u, f ) < d_G (v,f )\}. \end{aligned}$$
(2)

Topological indices

A topological index is a molecular graph invariant that correlates the physico-chemical properties of a molecular graph with a number. The first topological index was introduced in 1947 to calculate the boiling points of paraffins. This numerical representation of a molecular graph is useful in the quantitative structure-property relationship (QSPR), in communication, cryptography, and facility location, as well as other applications.

This index was originally defined for trees to correlate the certain physico-chemical properties of alkanes, alcohols, amines and their compounds. Hosoya1 defined the notion of Wiener index for any graph G as

$$\begin{aligned} W(G) = \sum _{\{u,v\}\subseteq V(G)}d(u,v). \end{aligned}$$
(3)

Gutman and Trinajstic2,3 investigated the dependence of total \(\pi\)-electron energy of an alternate hydrocarbon, where they encountered the terms denoted by \(M_1\) and \(M_2\) commonly known as Zagreb indices of first and second kind and defined as follows.

$$\begin{aligned} M_1(G)= & {} \sum _{u\in V(G)} d^2(u), \end{aligned}$$
(4)
$$\begin{aligned} M_2(G)= & {} \sum _{uv\in E(G)} d(u)d(v). \end{aligned}$$
(5)

Furtula and Gutman4 introduced the forgotten topological index as:

$$\begin{aligned} F(G) = \sum _{u\in V(G)} d^3(u) = \sum _{uv\in E(G)} (d^2(u)+d^2(v)). \end{aligned}$$
(6)

In this paper4, Forgotten topological index is also denoted as F-Index.

In the similar way, De et al.5 defined the F-coindex as follows.

$$\begin{aligned} {\overline{F}}(G) = \sum _{u\notin V(G)} d^3(u) = \sum _{uv\notin E(G)} (d^2(u)+d^2(v)). \end{aligned}$$
(7)

Doslic6 defined the first and second Zagreb coindices as follows.

$$\begin{aligned} {\overline{M}}_1 (G)= & {} \sum _{uv \notin E(G)} [d(u) + d(v)], \end{aligned}$$
(8)
$$\begin{aligned} {\overline{M}}_2 (G)= & {} \sum _{uv \notin E(G)} d(u)d(v). \end{aligned}$$
(9)

The Mostar index was defined by Doslić et al.7 as follows.

$$\begin{aligned} Mo(G) = \sum _{e=uv \in E(G)} |n_u(e)-n_v(e)|. \end{aligned}$$
(10)

The edge Mostar index was defined by Havare et al.8 as follows.

$$\begin{aligned} Mo_e(G) = \sum _{e=uv \in E(G)} |m_u(e)-m_v(e)|. \end{aligned}$$
(11)

Motivation

Niko9 studied the Mostar index of weighted graphs and applied their results to benzenoid systems. Shehaz et al.10 studied the Mostar index of several graph operations including lexicographic, Cartesian, corona product and more. Doslic et al.11 studied the extremal values of the Mostar index and obtained extremal trees. They also applied the results to some large classes of chemically interesting graphs. Akbar and Doslic12 presented various modifications and studied bounds and extremal results related to Mostar index. Ghorbani et al.13 studied the vertex-orbits with respect to the Mostar index under the action of automorphism group. They also studied the graphs with respect to value of the Mostar index equal to one.

The Zagreb coindices were recently studied in14,15,16,17,18,19 and details on the relations between Zagreb indices and coindices can be found in20,21. Two distance-based indices of some graph operations were studied in Ref.22.

The atom-bond conenctivity index and geometric-arithmetic index of some fullerenes was studied in Ref.23. Ghorbani et al.24 studied the nullity of an infinite class of nanostar dendrimers.

In recent years, these indices have gained significant attention due to their potential applications in drug discovery, material science, and network analysis. Havare8,25 studied the Mostar index of bridge graphs and showed its relevance in modeling the electronic properties of nanotubes. Similarly, the study by Kier and Hall demonstrated the usefulness of the Zagreb and Forgotten indices in predicting the toxicity and bioactivity of chemical compounds. These indices contribute to the understanding of the physico-chemical properties of \(TiO_2\) nanotubes.

Topological index provide a bridge that transform the molecule graph into a number. By using different topological indices, we can exercised for designing biological, physico-chemical, toxicological, pharmacologic and other characteristics of chemical compounds. Ashrafi et al.26 studied the infinite classes of siloxane and POPAM dendrimers and derive their Zagreb eccentricity indices, eccentric-connectivity and total-eccentricity indices.

Methodology

We use the information of degrees of vertices in molecular graphs of titania nanotubes and the complement of these graphs to obtain some degree-based indices and coindices of titania nanotubes in “Some degree-based indices and coindices of \(TiO_2\) nanotubes”. In “Mostar index of titania nanotubes”, we use the edge-cuts defined in Refs.27,28 and use the \(n_u,n_v\) partition of the edge set of titania nanotubes to obtain the Mostar index that is a recently defined distance-based topological index. Then in the last section, we represent these results graphically and give a comparative analysis of the obtained results.

Titania nanotubes \(TiO_2\)

As a well-known semiconductor with a numerous technological applications, titania is comprehensively studied in materials science. Titania nanotubes were systematically synthesized during the last 10–15 years using different methods and carefully studied as prospective technological materials. Since the growth mechanism for \(TiO_2\) nanotubes is still not well defined, their comprehensive theoretical studies attract enhanced attention. The \(TiO_2\) sheets with a thickness of a few atomic layers were found to be remarkably stable29.

Figure 1
figure 1

Molecular structure of \(TiO_2\)-nanotubes for \(n=1,2,m=1,2\), image source30.

The graph of the Titania nanotubes \(TiO_2[m,n]\) is presented in Fig. 1 where m denotes the number of octagons in a row and n denotes the number of octagons in a column of the titania nanotube in Figs. 2 and 3.

Figure 2
figure 2

The graph of \(TiO_2[m,n]\)-nanotubes, for \(m=6\) and \(n=4\). Image created by Mayura31.

Figure 3
figure 3

The graph of \(TiO_2[m,n]\)-nanotubes, for \(m=6\) and \(n=4\). Image created by Mayura31.

The next section deals with computation of first and fourth versions of atom-bond connectivity index and first and fifth versions of geometric-arithmetic index of Titanium nanotubes \(TiO_2\).

Applications of titania nanotubes

Titanium dioxide \((TiO_2)\) nanotubes is that compound that contain plentiful variation with different compounds that have emerged in various fields of technology such as medicine, energy and biosensing. Sevda et al.32 studied that \((TiO_2)\) nanotubes can react with different diversified drugs like antibiotics, osteoporosis drugs and anticancer. As shown in Fig. 4, the titanium tubes react with basic chemical molecule and made polymer with it and worked as drug delivery agent. Furthermore, \(TiO_2\) nanotubes and their derivatives are very helpful in to overcome human pathogenic microorganisms. Moreover, \(TiO_2\) have wide uses and applications in medical implants, antibacterial fields, drug delivery and nano biosensing.

Figure 4
figure 4

\(TiO_2\) working as drug delivery agent in industry. Image created in Adobe33.

Irshad et al.34 studied the application of \(TiO_2\) nano particles (NPs) with different characteristics and their wide range of applications. The \(TiO_2\) NPs are mainly used for the cleanses of polluted water and positively affected the plant physiology especially under abiotic stresses but the response varied with types, size, shapes, doses, duration of exposure, metal species along with other factors.

Now a days, plastic is the man-made pollution which become the largest problem of the world due to its ubiquitous presence and unknown threat to living organisms. Nabi et al. studied in35 \(TiO_2\) based photocatalysis has been typically highlighted as a degradation method for plastics treatment. As discussed in Fig. 5, first plastic garbage is proceed through Pyrolysis process and then \(TiO_2\) nano-particles are added in the mixture. After that, this mixture pass through the sonic mechine to separate in different types of basic molecules that can be reused. Degradation performance of \(TiO_2\) can be enhance by coupling with carbon, nitrogen and vitamin C to some extent for specific plastics decomposition. \(TiO_2\) based photocatalytic system should efficiently decompose from single to multiple types of polymers.

Figure 5
figure 5

The \(TiO_2\) nanotubes as disposal agent of plastic polymer. Image created in Adobe33.

Some degree-based indices and coindices of \(TiO_2\) nanotubes

First, we obtain the edge partition of the graph of these nanotubes with respect to the degrees of end-vertices of all edges in \(E(TiO_2)\). This partition will help us in applying the formulas of the mentioned indices,

With each edge uv, we associate two pairs \((d_u,d_v)\). The edge partition of Titania nanotubes \(TiO_2\) with respect to the degrees of the end-vertices of edges is given by Table 1.

Table 1 The \((d_u,d_v)\)-type edge partition of Titania nanotubes.

Theorem 7.1

Let G denote the graph of 2D-lattice of \(TiO_{2}\) nanotubes. Then the F-index of G is given by,

$$\begin{aligned} F(G) = {\left\{ \begin{array}{ll} 320n-128, &{} \text {when }m=1\\ 84+640mn-212m-320n, &{} \text {when }m>1. \end{array}\right. } \end{aligned}$$

Proof

The edge partition of G based on the degrees of end-vertices are given in Table 2 along with their frequencies.

Table 2 The frequencies of each type of edge uv in two dimensional lattice of titania nanotubes T[mn], for \(m=1\) and \(m>1\).

Now, by definition, the F-index of G is given by,

$$\begin{aligned} F(G)= \sum _{uv\in E(G)}(d_u^2+d_v^2)f(u,v). \end{aligned}$$

We compute the result in two cases. When \(m=1\), we have

$$\begin{aligned} F(G)&= 4(2^2+2^2)+0+(2^2+4^2)(8+16(n-1))\\&= 320n-128. \end{aligned}$$

When \(m>1\), we use Table 2 to obtain the following result.

$$\begin{aligned} F(G)&= (2^2+2^2)(2^2+3^2)(4)+(2^2+4^2)(6+12(n-1)\\&\quad +(2^2+5^2)(8mn-4(m+n)+2)\\&\quad +(3^2+3^2)(4+6(m-2))+(3^2+4^2)(2+4(n-1))\\&\quad +(3^2+5^2)(12mn-6m+8(1-2n))\\&= 84+640mn-212m-320n. \end{aligned}$$

\(\square\)

Now we calculate the F-coindex and first Zagreb coindex of titania nanotubes \(TiO_2\). The coindices of graphs are defined in terms of the edges of the complement of a graph. We use the definition of the complement of a graph and represent the coindex in a simpler way. Obviously, \(E(G) \cup E({\overline{G}}) = E(K_n)\), where \(K_n\), represents a complete graph. So if v has degree \(d_v\) in G then degree of the same vertex will be \(n - 1 - d_v\), in \({\overline{G}}\). For each \(u\in V(G)\), let us denote \(N_u = n - 1 - d_u\). Then

$$\begin{aligned} {\overline{F}}(G)=\sum _{u\in G}d_u^2\times N_u. \end{aligned}$$

Now, we proceed towards our main calculation. First we present some graphs of \(TiO_2\) nanotubes that describe the main edge classes with respect to the degrees of end-vertices of all edges. Three graphs of titania nanotubes \(TiO_2[3,1]\), \(TiO_2[2,1]\) and \(TiO_2[2,2]\) are presented in Fig. 6, where edges of different types are highlighted with different alphabets. Figure 7 gives different dimensional 2D lattices of \(TiO_2\) nanotubes with \(m=1\). Then we present tables summarizing the information about these edge classes and non-adjacencies of all the vertices, see Tables 3 and 4. These tables are used to obtained the next results.

Figure 6
figure 6

The lattices of \(TiO_{2}[m,n]\) for \(m=2\) and \(n=1,2\).

Figure 7
figure 7

The lattices of \(TiO_{2}[m,n]\) for \(m=1\) and \(n=1,2,3\).

Table 3 Degrees, frequencies and non-adjacencies of the representative vertices in the 2D lattice of \(TiO_2[m,n]\), for \(m=1\).
Table 4 Degrees, frequencies and non-adjacencies of the representative vertices in the 2D lattice of \(TiO_2[m,n]\), for \(m>1\).

Theorem 7.2

Let G denote the graph of 2D-lattice of \(TiO_{2}\) nanotubes. Then the F-coindex of G is given as follows:

$$\begin{aligned} {\overline{F}}(G) = {\left\{ \begin{array}{ll} 1152n^2-992n+224; &{} m=1 \\ 1824m^2n^2-352m^2n-672mn^2+8m^2 &{} \\ -1352mn+220m+376n+172; &{} m>1 \end{array}\right. } \end{aligned}$$

Proof

From the figures shown, it is evident that there are 14 distinct vertex representations, based on degree, non-adjacency and frequency.

Now, the F-coindex of G is given by

$$\begin{aligned} {\overline{F}}(G)= \sum _{u\in T_2(m,n)} d_{u}^{2}\cdot (N_u)\cdot (frequency). \end{aligned}$$

We compute the result in the following two cases.

When \(m=1\), using Table 3 we get;

$$\begin{aligned} {\overline{F}}(G)= & {} 2^2(12n-5)(2)+2^2(12n-5)(4)+2^2(12n -5)(4n-2)\\{} & {} +4^2(12n-7)(4n-2)+2^2(12n-5)(4(n-1)) \\= & {} 1152n^2-992n+256. \end{aligned}$$

When \(m>1\), Using Table 4 we get the F-coindex of the graph G as follows.

$$\begin{aligned} {\overline{F}}(G)= & {} 2^2(12mn-2m-3)(2)+2^2(12mn-2m-3)(2)\\{} & {} +3^3(12mn-2m-4)(2)+5^5(12mn-2m-6)\\{} & {} (4mn-2m-4n+2)+2^2(12mn-2m-3)(4n-2)\\{} & {} +2^2(12mn-2m-3)(4mn-2m-4n+2)+3^3(12mn-2m-4)\\{} & {} (2m-4)+2^2(12mn-2m-3)(2)+3^3(12mn-2m-4)(2m-2)\\{} & {} +3^2(12mn-2m-4)(2m-2)+4^2(12mn-2m-5)(4n-2) \\{} & {} +2^2(12mn-2m-3)(4n-4)+3^3(12mn-2m4)(4n-4)\\{} & {} +3^2(12mn-2m-4)(4mn-8n)\\= & {} 1824m^2n^2-352m^2n-672mn^2+8m^2-1352mn+220m\\{} & {} +376n+172. \end{aligned}$$

\(\square\)

Theorem 7.3

Let G denote the graph of 2D-lattice of \(TiO_{2}\) nanotubes. The first Zagreb coindex of G is given as follows:

$$\begin{aligned} {\overline{M}}_1(G) = {\left\{ \begin{array}{ll} 288n^2 - 184n + 28; &{} m=1 \\ 480m^2n^2-32m^2n-96mn^2-8m^2 &{} \\ -464mn+48m+64n+88; &{} m>1 \end{array}\right. } \end{aligned}$$

Proof

From the figures shown, it is evident that there are 14 distinct vertex representations, based on degree, non-adjacency and frequency. Now, the F-coindex of G is given by

$$\begin{aligned} {\overline{M}}_1(G)= \sum _{u\in V(G)}d_{u} \cdot (N_u)\cdot (frequency). \end{aligned}$$

When \(m=1\), we use Table 3 to obtain the following.

$$\begin{aligned} {\overline{M}}_1(G)&=2(12n-5)(2)+2(12n-5)(4)+2(12n-5)(4n\\&\quad -2)+4(12n-7)(4n-2) + 2(12n-5)(4(n-1)) \\&= 4(12n-5)+8(12n-5)+(8n-4)(12n-5)\\&\quad +(8n-4)(12n-7)+(8n-8)(12n-5) \\&= 288n^2 - 184n + 28. \end{aligned}$$

Similarly, when \(m>1\), we use Table 4 to obtain the first Zagreb coindex as follows.

$$\begin{aligned} {\overline{M}}_1(G)&= 2(12mn-2m-3)(2)+2(12mn-2m\\&\quad -3)(2)+3(12mn-2m-4)(2)+5(12mn\\&\quad -2m-6)(4mn-2m-4n+2)+2(12mn\\&\quad -2m-3)(4n-2)+2(12mn-2m-3)(4mn\\&\quad -2m-4n+2)+3(12mn-2m-4)(2m-4)\\&\quad +2(12mn-2m-3)(2)+3(12mn-2m-4)(2m\\&\quad -2)+3(12mn-2m-4)(2m-2)+4(12mn\\&\quad -2m-5)(4n-2)+2(12mn-2m-3)(4n-4)\\&\quad +3(12mn-2m-4)(4n-4)+3(12mn-2m\\&\quad -4)(4mn-8n)\\&= 480m^2n^2-32m^2n-96mn^2-8m^2\\&\quad -464mn+48m+64n+88. \end{aligned}$$

This completes the proof. \(\square\)

Mostar index of titania nanotubes

In this section, we calculate the Mostar index if the molecular graphs of 2-dimensional titania nanotubes. So, first we have to obtain the all types of edge-cuts of \(TiO_2\) nanotubes that are discussed by Imran et al.27.

Table 5 All types of edge-cuts with their cardinalities.

Theorem 8.1

Let G denote the graph of 2D-lattice of \(TiO_{2}\) nanotubes. The Mostar index of G is given as follows:

$$\begin{aligned} Mo(G) = {\left\{ \begin{array}{ll} -24n^4+\frac{1}{3}(144m-188)n^3+\frac{1}{3}(36m^2+132m\\ -108)n^2+\frac{1}{3}(24m^2-36m-4)n-4m^2+4m; &{} m>n \\ 60n^4+\frac{1}{3}(-360m+272)n^3+\frac{1}{3}(36m^2-84m\\ +24)n^2+\frac{1}{3}(312m^2-276m-68)n-48m^3\\ +80m^2-28m; &{} m\le n \end{array}\right. } \end{aligned}$$
Table 6 The values of \(n_u\) and \(n_v\) with respect to the cuts presented in Table 5.

Proof

By using the Tables 5 and 6 to obtain the desire results.

$$\begin{aligned} Mo(G) = \sum \limits _{e=uv \in E(G)} |n_u(e)-n_v(e)| \end{aligned}$$

Case-I:When \(m>n\), we have

$$\begin{aligned}= & {} \sum _{i=1}^{n} |A_i| |(6i^2 + 2i) - (-6i^2+12mn-2i-2m)|+ \sum _{i=1}^{m-n-1} |B_i| \\{} & {} |(12in + 6n^2 -2i + 2n) - (-12in+12mn-6n^2+2i-2m-2n)|\\{} & {} + \sum _{i=1}^{n} |C_i| |(-6i^2+12mn+4i-2m) - (6i^2-4i)|\\{} & {} + \sum _{i=1}^{n} |Y_i| \times |2m(3i-2) - (-6im+12mn+2m)|\\{} & {} + \sum _{i=1}^{2n-1} |Z_i| \times |(6im-2m+1) - (-6im+12mn-1)|\\= & {} \sum _{i=1}^{n} 4i |(12i^2 + 4i -12mn+2m)|+ \sum _{i=1}^{m-n-1} 4n |(24in+ 12n^2 -4i \\{} & {} +4n -12mn +2m)| + \sum _{i=1}^{n} 2(2i-1) \times |(-12i^2+8i+12mn-2m )|\\{} & {} + \sum _{i=1}^{n} 2m\times |(12im-6m-12mn)|+ \sum _{i=1}^{2n-1} 2m \times |(12im-12mn-2m+2)|\\= & {} \sum _{i=1}^{n} 4i (-12i^2 - 4i + 12mn - 2m)+ \sum _{i=1}^{m-n-1} 4n \times (24in + 12n^2 -4i + 4n \\{} & {} -12mn +2m)+ \sum _{i=1}^{n} 2(2i-1) \times (-12i^2 +8i+12mn-2m )+\sum _{i=1}^{n} 2m \\{} & {} (-12im+6m+12mn)+ \sum _{i=1}^{2n-1} 2m \times (-12im+12mn+2m-2)\\= & {} -24n^4+\frac{1}{3}(144m-188)n^3+\frac{1}{3}(36m^2+132m-108)n^2\\{} & {} +\frac{1}{3}(24m^2-36m-4)n-4m^2+4m \end{aligned}$$

Case-II: Similarly, when \(m\le n\), we have

$$\begin{aligned}= & {} \sum _{i=1}^{n} |A_i| |(6i^2 + 2i) - (-6i^2+12mn-2i-2m)| + \sum _{i=1}^{m-n-1} |B_i| \\{} & {} |(12im + 6m^2 -10m) - (-12im+12mn-6m^2+8m)|\\{} & {} + \sum _{i=1}^{n} |C_i| |(-6i^2 +12mn+4i-2m) - (6i^2-4i)| + \sum _{i=1}^{n} |Y_i| \\{} & {} \times |2m(3i-2) - (-6im+12mn+2m)|+ \sum _{i=1}^{2n-1} |Z_i| \\{} & {} \times |(6im-2m+1) - (-6im+12mn-1)|\\= & {} \sum _{i=1}^{n} 4(4i-2) |(12i^2 + 4i -12mn+2m|+ \sum _{i=1}^{m-n-1} 4(m-1)+2 \\{} & {} |(24im + 12m^2 - 18m-12mn)| + \sum _{i=1}^{n} 2(2i-1) \\{} & {} \times |(-12i^2+8i+12mn-2m )|+ \sum _{i=1}^{n} 2m\times |(12im -6m-12mn)|\\{} & {} + \sum _{i=1}^{2n-1} 2m \times |(12im-12mn-2m+2)|\\ \end{aligned}$$
$$\begin{aligned}= & {} \sum _{i=1}^{n} 16i-8 \times (12i^2 + 4i -12mn+2m)+ \sum _{i=1}^{m-n-1} 4m-2 \\{} & {} \times (24im+ 12m^2 - 18m-12mn) + \sum _{i=1}^{n} 4i-2 \times (12i^2\\{} & {} -8i-12mn+2m )+ \sum _{i=1}^{n} 2m\times (-12im +6m+12mn) \\{} & {} + \sum _{i=1}^{2n-1} 2m \times (-12im+12mn+2m-2) \\= & {} 60n^4+\frac{1}{3}(-360m+272)n^3+\frac{1}{3}(36m^2-84m+24)n^2\\{} & {} +\frac{1}{3}(312m^2-276m-68)n-48m^3+80m^2-28m. \end{aligned}$$

\(\square\)

Similarly, the edge Mostar index is calculated in the following theorem for the graphs of titania nanotubes.

Theorem 8.2

Let G denote the graph of 2D-lattice of \(TiO_{2}\) nanotubes. The Mostar index of G is given as follows:

$$\begin{aligned} Mo_e(G) = {\left\{ \begin{array}{ll} -40n^4+\frac{1}{3}(240m-256)n^3+\frac{1}{3}(60m^2+324m\\ -174)n^2+\frac{1}{3}(-72m^2+48m-2)n-4m^2+4m; &{} m>n \\ 160m^4+100n^4-(120m-96)n^3-(-180m^2\\ +108m+90)n^2-(320m^3-512m^2+252m38)n\\ -392m^3+328m^2-108m+12.; &{} m\le n \end{array}\right. } \end{aligned}$$
Table 7 The values of \(m_u\) and \(m_v\) with respect to the cuts presented in Table 5.

Proof

By using Tables 5 and 7 to obtain the results.

$$\begin{aligned} Mo_e(G) = \sum \limits _{e=uv \in E(G)} |m_u(e)-m_v(e)| \end{aligned}$$

Case-I:When \(m>n\), we have

$$\begin{aligned}= & {} \sum _{i=1}^{n} |A_i| |(10i^2 -i) - (-10i^2+20mn-3i-4m-4n)| + \sum _{i=1}^{m-n-1} |B_i| \\{} & {} |(20in + 10n^2 -4i - n) - (-20in+20mn-10n^2+4i-4m-7n)|+ \sum _{i=1}^{n} |C_i| \\{} & {} |(-10i^2+20mn+7i)- (10i^2-11i+2-4m-4n)| + \sum _{i=1}^{n} |Y_i| \\{} & {} \times |(10im-2i-8m+1)-(-10im+20mn+2i+2m-4n-1)| +\sum _{i=1}^{2n-1} |Z_i| \\{} & {} \times |(10im-2i-4m+1) - (-10im+20mn+2i-2m-4n-1)| \\= & {} \sum _{i=1}^{n} 4i |(20i^2 + 2i -20mn+4m+4n)|+ \sum _{i=1}^{m-n-1} 4n |(40in+ 20n^2 -8i\\{} & {} + 6n -20mn -4m)| + \sum _{i=1}^{n} 2(2i-1) \times |(-20i^2+18i+20mn\\{} & {} +4m+4n-2 )|+ \sum _{i=1}^{n} 2m\times |(20im -10m-20mn-4i+4n+2)|\\{} & {} + \sum _{i=1}^{2n-1} 2m \times |(20im-4i-20mn-2m+4n+2|\\= & {} \sum _{i=1}^{n} 4i (-20i^2 - 2i +20mn-4m-4n)|+ \sum _{i=1}^{m-n-1} 4n (40in + 20n^2 -8i + 6n \\{} & {} -20mn -4m) + \sum _{i=1}^{n} 2(2i-1) \times (-20i^2+18i+20mn+4m+4n-2 )\\{} & {} + \sum _{i=1}^{n} 2m\times (-20im +10m+20mn+4i-4n-2)+ \sum _{i=1}^{2n-1} 2m \times (-20im\\{} & {} +4i+20mn+2m-4n-2\\= & {} -40n^4+\frac{1}{3}(240m-256)n^3+\frac{1}{3}(60m^2+324m-174)n^2\\{} & {} +\frac{1}{3}(-72m^2+48m-2)n-4m^2+4m. \end{aligned}$$

Case-II: when \(m\le n\), we have

$$\begin{aligned} =&\sum _{i=1}^{n} |A_i| |(10i^2 -i) - (-10i^2+20mn-3i-4m-4n)| +\sum _{i=1}^{m-n-1}|B_i|\\&|(20im + 10m^2 -4i - 21m+4) - (-20im +20mn-10m^2+4i\\&-13m-4n-2)|+ \sum _{i=1}^{n} |C_i| |(-10i^2+20mn+7i-4m-4n) \\&- (10i^2-11i+2)| + \sum _{i=1}^{n} |Y_i| \times |(10im-2i-8m+1) - (-10im\\&+20mn+2i+2m -4n-1)|+ \sum _{i=1}^{2n-1} |Z_i| \times |(10im-2i-4m\\&+1)-(-10im+20mn+2i-2m-4n-1)|\\ =&\sum _{i=1}^{n} 4(4i-2) |(20i^2 + 2i -20mn+4m+4n)|+\sum _{i=1}^{m-n-1} (4(m-1)+2)\\&|(40im + 20m^2 -8i + 4n-20mn-34m+6)|+\sum _{i=1}^{n} 2(2i-1) \\&\times |(-20i^2+18i+20mn-4m-4n-2 )|+\sum _{i=1}^{n} 2m\times |(20im -10m\\&-20mn-4i+4n+2)|+\sum _{i=1}^{2n-1} 2m \times |(20im-4i-20mn-2m\\&-4n+2)|\\ =&\sum _{i=1}^{n} 4i-1 \times (20i^2 + 2i -20mn+4m+4n) +\sum _{i=1}^{m-n-1} 4m-2 \\&\times (40im+ 20m^2 -8i + 4n -20mn -34m+6) + \sum _{i=1}^{n} 2(2i-1) \\&\times (20i^2-18i-20mn+4m+4n+2)+ \sum _{i=1}^{n} 2m\times (-20im+10m\\&+20mn+4i-4n-2)+\sum _{i=1}^{2n-1} 2m \times (-20im+4i+20mn+2m\\&+4n-2) =160m^4+100n^4-(120m-96)n^3-(-180m^2+108m+90)n^2\\&-(320m^3-512m^2+252m+38)n-392m^3+328m^2-108m+12. \end{aligned}$$

\(\square\)

Concluding remarks and discussion

A topological index is a molecular graph invariant which correlates the physico-chemical properties of a molecular graph with a number. This paper deals with some degree-based topological indices of an infinite class of Titania nanotubes \(TiO_2[m,n]\). The output of all these geometrical indices of nanotubes is of practical interest. For instance, the design of supports possessing certain properties for controlled drug release. Here we represented the numerical comparison of different indices for \(TiO_2[m,n]\) for different values of n and m.

When \(m=1 \le n\)

\(TiO_2(n,1)\)

F(G)

\({\overline{F}}(G)\)

\({\overline{M}}(G)\)

Mo(G)

\(M o_e(G)\)

n=1

192

384

132

16

-40

n=2

512

2848

812

676

1140

n=3

832

7616

2068

3968

6996

n=4

1152

14688

3900

13316

23384

When \(m=5>n\)

\(TiO_2\)

F(G)

\({\overline{F}}(G)\)

\({\overline{M}}(G)\)

Mo(G)

\(M o_e(G)\)

n=1

1904

28528

6672

696

656

n=2

4784

122464

32416

3168

4684

n=3

7664

336080

77360

7536

12452

n=4

10544

616576

141504

14384

25048

In this paper, we studied the a recently defined topological index known as the forgotten index or F-index of our class of titania nanotubes. We also calculated two co-type indices of our class of nanotubes namely F-coindex and the first version of the Zagreb coindex.

Figure 8
figure 8

The lattices of \(TiO_{2}[m,n]\) for \(m=1\) and \(n=1,2,3\).

In above mention graphical representation in Fig. 8, we have graphical comparison of the F-index for m = 1 and m > 1 with their F-coindex which clearly shows that for increasing order, F index and F-coindex are also increasing in projectile way with different angle of elevation.

Figure 9
figure 9

The lattices of \(TiO_{2}[m,n]\) for \(m=1\) and \(n=1,2,3\).

In above mention graphical representation in Fig. 9, we have graphical comparison of the F-index with the Zagreb index of first kind for m = 1 and for m > 1 which clearly shows that for increasing order, respective indices are also increasing in distinct angle.

Figure 10
figure 10

The lattices of \(TiO_{2}[m,n]\) for \(m=1\) and \(n=1,2,3\).

In above mention graphical representation in Fig. 10, we have graphical comparison of the Co-index of F and Zagreb index of first kind for m = 1 and for m > 1 which clearly shows that both indices are increasing with their respective different angles.

Figure 11
figure 11

The lattices of \(TiO_{2}[m,n]\) for different values ofm and n.

In above mention graphical representation in Fig. 11, we have graphical comparison of Mostar index for vertex and edge when \(m>n\) and \(m \le n\) which clearly show that both indices are monotonically increasing with their respective different angles.