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Article

Entropies Via Various Molecular Descriptors of Layer Structure of H3BO3

by
Muhammad Usman Ghani
1,†,
Muhammad Kashif Maqbool
2,†,
Reny George
3,*,†,
Austine Efut Ofem
4,† and
Murat Cancan
5,†
1
Institute of Mathematics, Khawaja Fareed University of Engineering & Information Technology, Abu Dhabi Road, Rahim Yar Khan 64200, Pakistan
2
The Government Sadiq Egerton College Bahwalpur, Punjab 63100, Pakistan
3
Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
4
School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban 4001, South Africa
5
Faculty of Education, Yuzuncu Yil University, Van 65080, Turkey
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Submission received: 9 November 2022 / Revised: 11 December 2022 / Accepted: 13 December 2022 / Published: 19 December 2022
(This article belongs to the Special Issue Mathematical and Molecular Topology)

Abstract

:
Entropy is essential. Entropy is a measure of a system’s molecular disorder or unpredictability, since work is produced by organized molecular motion. Entropy theory offers a profound understanding of the direction of spontaneous change for many commonplace events. A formal definition of a random graph exists. It deals with relational data’s probabilistic and structural properties. The lower-order distribution of an ensemble of attributed graphs may be used to describe the ensemble by considering it to be the results of a random graph. Shannon’s entropy metric is applied to represent a random graph’s variability. A structural or physicochemical characteristic of a molecule or component of a molecule is known as a molecular descriptor. A mathematical correlation between a chemical’s quantitative molecular descriptors and its toxicological endpoint is known as a QSAR model for predictive toxicology. Numerous physicochemical, toxicological, and pharmacological characteristics of chemical substances help to foretell their type and mode of action. Topological indices were developed some 150 years ago as an alternative to the Herculean, and arduous testing is needed to examine these features. This article uses various computational and mathematical techniques to calculate atom–bond connectivity entropy, atom–bond sum connectivity entropy, the newly defined Albertson entropy using the Albertson index, and the IRM entropy using the IRM index. We use the subdivision and line graph of the H 3 B O 3 layer structure, which contains one boron atom and three oxygen atoms to form the chemical boric acid.

1. Introduction

Theoretical chemistry and graph theory are combined in chemical graph theory (CGT). It makes a contribution to the modeling of actual and fictitious chemical substances, examines the mathematical structure and connectedness, and then unifies the mathematical and chemical notions [1]. A chemical compound is modeled by displaying its structural formula as a chemical graph, in which atoms are represented by vertices and chemical bonds by edges [2].
We determine a structure’s distance-based entropy by using some well-known topological indices, which are the numbers that help characterize its topological features after it has been reproduced. The many pharmacological, physicochemical (such as melting point, boiling temperature, volume, molecular weight, density, etc.), and toxicological properties of a chemical molecule have a link with these invariants [3,4,5]. Topological indices have the amazing feature of remaining constant over graph isomorphisms, making them typically graph-invariant [6,7,8,9,10,11,12,13,14]. Numerous topological indices based on chemical graphs that rely on the number of vertices have been discovered and studied [15,16,17,18,19]. The atom–bond connectivity index and its modified form, the atom–bond sum connectivity index, the Albertson index, and the IRM index, as well as their mathematical equations, are introduced and defined in this section. For more explanation, see [20,21,22,23,24,25,26,27].
The atom–bond connectivity index was established by Estrada et al. [28] and is a modified version of the connectivity index. It is described as
A B C ( G , x ) = a i a ˙ 2 x ( V a ˙ 1 + V a ˙ 2 2 ) ( V a ˙ 1 × V a ˙ 2 ) & A B C = a ˙ 1 a ˙ 2 ( V a ˙ 1 + V a ˙ 2 2 ) ( V a ˙ 1 × V a ˙ 2 )
Zhou and Trinajstic [29] proposed the sum-connectivity index, u , v ξ g 1 V a i + V a j , an alternative to the connectivity index. The atom–bond sum-connectivity (ABS) index is a recently proposed modification of the atom–bond connectivity index that makes use of the fundamental concept of the sum-connectivity index [30]. A definition of the ABS index is
A B S ( G , x ) = a i a j x ( V a i + V a j 2 ) ( V a i + V a j ) & A B S = a i a j ( V a i + V a j 2 ) ( V a i + V a j )
To determine a graph’s irregularity, the authors in [31] established the Albertson index A(G).
A ( G , x ) = a i a j x | V a i V a j | & A ( G ) = a i a j | V a i V a j |
The irregularities of the graph are gauged using the Albertson, Bell, and IRM indices [32]. The definition of IRM(G) is
I R M ( G , x ) = a i a j x [ V a i V a j ] 2 & I R M ( G ) = a i a j [ V a i V a j ] 2
In this paper, we work with Boric acid H 3 B O 3 . It is an acid made up of four oxygen atoms, one phosphorus atom, and three hydrogen atoms. Boric acid is sometimes referred to as orthoboric acid, boracic acid, hydrogen borate, or acidum boricum. It possesses antiviral, antifungal, and antiseptic qualities and is a weak acid. Figure 1 depicts the boric acid complex, which consists of one boron atom, three oxygen atoms, and three hydrogen atoms. The floral pattern structure (base unit) depicted in Figure 1 is created by polymerizing the H 3 B O 3 unit structure, which consists of six repeating units of H 3 B O 3 .
The degree of unpredictability (or disorder) in a system is measured by entropy. It may also be considered a measurement of how evenly the molecules in the system distribute their energy. The number of alternative configurations of molecule position and the amount of kinetic energy at a specific thermodynamic state is known as a microstate.

Entropies via Various Molecular Descriptors

Ghani et al. in [33] and Manzoor et al. in [34] recently offered another strategy that is a little bit novel in the literature: applying the idea of Shannon’s entropy [35] in terms of topological indices. The following formula represents the graph entropy:
E N T μ ( G ) = a i a j μ ( V a i V a j ) a i a j μ ( V a i V a j ) log { μ ( V a i V a j ) a i a j μ ( V a i V a j ) } .
where a 1 , a 2 represents atoms, ξ G represents the edge set, and μ ( V a i V a j ) represents the edge weight of edge ( V a i V a j ) .
  • Entropy related to ABC index
Let μ ( ( a i ) ( a j ) ) = { V a i + V a j 2 V a ˙ i × V a ˙ j } . Then A B C index (1) is given by
A B C G = a i , a j ξ G { V a i + V a j 2 V a i × V a j } = a i , a j ξ G μ ( ( a i ) ( a j ) ) .
Adding the parameters of A B C G into Equation (5), then the atom–bond connectivity ( E N T A B C ) entropy is
E N T A B C G = log ( A B C G ) 1 A B C G log { a i , a j ξ G V a i + V a j 2 V a i × V a j V a i + V a j 2 V a i × V a j } .
  • Entropy related to ABS index
Let μ ( ( a i ) ( a j ) ) = { V a i + V a j 2 V a i + V a j } . Then the A B S index (2) is given by
A B S G = a i , a j ξ G { V a i + V a j 2 V a i + V a j } = a i , a j ξ G μ ( ( a i ) ( a j ) ) .
Adding the parameters of A B S G into Equation (5), then the atom–bond sum connectivity ( E N T A B C ( G ) ) entropy is
E N T A B S G = log ( A B S G ) 1 A B S G log { a i , a j ξ G V a i + V a j 2 V a i + V a j V a i + V a j 2 V a i + V a j } .
  • Entropy related to Albertson index
Let μ ( ( a i ) ( a j ) ) = { | V a i V a j | } . Then the Alberston entropy (3) is given by
A ( G ) = a i , a j ξ G { | V a i V a j | } = a i , a j ξ G μ ( ( a i ) ( a j ) ) .
Adding the parameters of A ( G ) into Equation (5), then the Alberston ( E N T A ) ) entropy is
E N T A ( G ) = log ( A ( G ) ) 1 A ( G ) log { a i , a j ξ G | V a i V a j | | V a i V a j | } .
  • Entropy related to IRM index
Let μ ( ( a i ) ( a j ) ) = { [ V a i V a j ] 2 } . Then the I R M entropy (4) is given by
I R M ( G ) = a i , a j ξ G { [ V a i V a j ] 2 } = a i , a j ξ G μ ( ( a i ) ( a j ) ) .
Adding the parameters of I R M ( G ) into Equation (5), then the IRM ( E N T I R M ) entropy is
E N T I R M ( G , x ) = log I R M ( G ) 1 I R M ( G , x ) log { a i , a j ξ G [ V a i V a j ] 2 [ V a i V a j ] 2 } .

2. Layer Structure of H 3 BO 3 ( s , t )

In this section, we discuss the H 3 B O 3 ( s , t ) layer structure, which serves as the foundation for its subdivision and line graph. The H 3 B O 3 ( s , t ) unit structure polymerizes to generate the floral pattern structure (base unit) seen in Figure 2, which is made up of six repeating H 3 B O 3 units. This layer structure may be stretched to whatever number of rows and columns is desired. The horizontal lines of floral pattern structures are characterized as rows “s”, while the vertical lines are designated as columns “t”. Figure 2 depicts H 3 B O 3 ( s , t ) with one row and two columns, s = 1 and t = 2.

2.1. Subdivision of the Layer Structure H 3 B O 3 ( s , t )

Figure 3 shows the subdivision of H 3 B O 3 ( s , t ) , the layer structure achieved by installing one atom between each atom–bond of Figure 2.

Result and Discussion

In subdivision of the layer structure H 3 B O 3 ( s , t ) , the atom–bond E ( G ) is divided into three groups based on the degree of each edge’s end vertices. The set that is disjointed is shown by the symbols ξ ( d ( u i ) , d ( V j ) ) . The first set that is disjointed is ξ ( 1 , 2 ) , the second set that is disjointed is ξ ( 2 , 2 ) , and the third set that is disjointed is ξ ( 2 , 3 ) . The table below describes the different types of edges as well as the equations for calculating the number of edges in each type of the S H 3 B O 3 ( s , t ) layer structure.
  • Entropy related to the ABC index of subdivision H 3 BO 3
Let S ( H 3 B O 3 ) be a subdivision of H 3 B O 3 ( s , t ) . Then by using Equation (1) and Table 1, the atom–bond connectivity index is
A B C ( S ( H 3 B O 3 ) ) = ξ ( 1 2 ) x 1 + 2 2 1 × 2 + ξ ( 2 2 ) x 2 + 2 2 2 × 2 + ξ ( 2 3 ) x 2 + 3 2 2 × 3 = 2 ( s + t + 1 ) x 1 2 + 12 ( s t + s + t ) x 1 2 + 6 ( 3 s + 3 t + 4 s t 1 ) x 1 2
Differentiate (11) at x = 1 ; we get the atom–bond connectivity index
A B C S ( H 3 B O 3 ) = 1 2 ( 32 s + 32 t + 36 s t 4 )
Here, we determine the atom–bond connectivity entropy by using Table 1 and Equation (12) in Equation (6) according to the following:
E N T A B C S ( H 3 B O 3 ) = log ( A B C ) 1 A B C log { ξ ( 1 , 2 ) [ ( V a i + V a j 2 ) ( V a i × V a j ) ] [ ( V a i + V a j 2 ) ( V a i × V a j ) ] × ξ ( 2 , 2 ) [ ( V a i + V a j 2 ) ( V a i × V a j ) ] [ ( V a i + V a j 2 ) ( V a i × V a j ) ] × ξ ( 2 , 3 ) [ ( V a i + V a j 2 ) ( V a i × V a j ) ] [ ( V a i + V a j 2 ) ( V a i × V a j ) ] } = log ( 1 2 ( 32 s + 32 t + 36 s t 4 ) 1 1 2 ( 32 s + 32 t + 36 s t 4 ) × log { 2 ( s + t + 1 ) ( 1 2 ) 1 2 × 12 ( s t + s + t ) ( 1 2 ) 1 2 × 6 ( 3 s + 3 t + 4 s t 1 ) ( 1 2 ) 1 2 } .
  • Entropy related to the ABS index of subdivision H 3 BO 3
Let S ( H 3 B O 3 ) be a subdivision of H 3 B O 3 ( s , t ) . Then by using Equation (2) and Table 1, the atom–bond sum connectivity is
A B S S ( H 3 B O 3 ) = ξ ( 1 2 ) x 1 + 2 2 1 + 2 + ξ ( 2 2 ) x 2 + 2 2 2 + 2 + ξ ( 2 3 ) x 2 + 3 2 2 + 3 = 2 ( s + t + 1 ) x 1 3 + 12 ( s t + s + t ) x 1 2 + 6 ( 3 s + 3 t + 4 s t 1 ) x 3 5
Taking the first derivative of Equation (14) at x = 1 , we get the atom–bond sum connectivity index
A B S ( S ( H 3 B O 3 ) ) = 2 ( s + t + 1 ) 1 3 + 12 ( s t + s + t ) 1 2 + 6 ( 3 s + 3 t + 4 s t 1 ) 3 5 .
Here, we determine the atom–bond sum connectivity entropy by using Table 1 and Equation (15) in Equation (6) according to the following:
E N T A B S ( S ( H 3 B O 3 ) ) = log ( A B S ) 1 A B S log { ξ ( 1 , 2 ) [ ( V a i + V a j 2 ) ( V a i + V a j ) ] [ ( V a i + V a j 2 ) ( V a i + V a j ) ] × ξ ( 2 , 2 ) [ ( V a i + V a j 2 ) ( V a i + V a j ) ] [ ( V a i + V a j 2 ) ( V a i + V a j ) ] × ξ ( 2 , 3 ) [ ( V a i + V a j 2 ) ( V a i + V a j ) ] [ ( V a i + V a j 2 ) ( V a i + V a j ) ] } = log ( A B S ) 1 A B S log { 2 ( s + t + 1 ) ( 1 3 ) 1 3 × 12 ( s t + s + t ) ( 1 2 ) 1 2 × 6 ( 3 s + 3 t + 4 s t 1 ) ( 3 5 ) 3 5 } .
  • Entropy related to the Albertson index S ( H 3 BO 3 )
Let S ( H 3 B O 3 ) be a subdivision of H 3 B O 3 ( s , t ) . Then by using Equation (3) and Table 1, the atom–bond connectivity index is
A ( G , x ) ( S ( H 3 B O 3 ) ) = ξ ( 1 2 ) x | 1 2 | + ξ ( 2 2 ) x | 2 2 | + ξ ( 2 3 ) x | 2 3 | = 2 ( s + t + 1 ) x + 12 ( s t + s + t ) + 6 ( 3 s + 3 t + 4 s t 1 ) x
Differentiate (17) at x = 1 ; we get the atom–bond connectivity index
A ( G , x ) S ( H 3 B O 3 ) = 32 s + 32 t + 36 s t 4
Here, we determine the atom–bond connectivity entropy by using Table 1 and Equation (18) in Equation (9) according to the following:
E N T A ( G , x ) S ( H 3 B O 3 ) = log ( A ( G , x ) ) 1 A ( G , x ) log { ξ ( 1 , 2 ) [ | V a i V a j | ] [ | V a i V a j | ] × ξ ( 2 , 2 ) [ | V a i V a j | ] [ | V a i V a j | ] × ξ ( 2 , 3 ) [ | V a i V a j | ] [ | V a i V a j | ] } = log ( 32 s + 32 t + 36 s t 4 ) 1 32 s + 32 t + 36 s t 4 log { 2 ( s + t + 1 ) + 12 ( s t + s + t ) + 6 ( 3 s + 3 t + 4 s t 1 ) } .
  • Entropy related to the IRM index of subdivision H 3 BO 3
Let S ( H 3 B O 3 ) be a subdivision of H 3 B O 3 ( s , t ) . Then by using Equation (4) and Table 1, the atom–bond connectivity index is
I R M ( G , x ) ( S ( H 3 B O 3 ) ) = ξ ( 1 2 ) x [ 1 2 ] 2 + ξ ( 2 2 ) x [ 2 2 ] 2 + ξ ( 2 3 ) x [ 2 3 ] 2 = 2 ( s + t + 1 ) x + 12 ( s t + s + t ) + 6 ( 3 s + 3 t + 4 s t 1 ) x
Differentiate (20) at x = 1 ; we get the atom–bond connectivity index
I R M ( G , x ) S ( H 3 B O 3 ) = 32 s + 32 t + 36 s t 4
Here, we determine the atom–bond connectivity entropy by using Table 1 and Equation (21) in Equation (10) according to the following:
E N T I R M ( G , x ) ) S ( H 3 B O 3 ) = log ( I R M ( G , x ) ) 1 I R M ( G , x ) ) log { ξ ( 1 , 2 ) [ [ V a i V a j ] 2 ] [ [ V a i V a j ] 2 ] × ξ ( 2 , 2 ) [ [ V a i V a j ] 2 ] [ [ V a i V a j ] 2 ] × ξ ( 2 , 3 ) [ [ V a i V a j ] 2 ] [ [ V a i V a j ] 2 ] } = log ( 32 s + 32 t + 36 s t 4 ) 1 32 s + 32 t + 36 s t 4 log { 2 ( s + t + 1 ) + 12 ( s t + s + t ) + 6 ( 3 s + 3 t + 4 s t 1 ) } .

2.2. Layer Structure of H 3 B O 3 in the Form of a Line Graph

In the line graph of the layer structure H 3 B O 3 ( s , t ) , the atom–bond E ( G ) is divided into five groups based on the degree of each edge’s end vertices. The set that is disjointed is shown by the symbols ξ ( d ( u i ) , d ( V j ) ) . The first set that is disjointed is ξ ( 2 , 3 ) , the second set that is disjoint is ξ ( 2 , 4 ) , the third set that is disjointed is ξ ( 3 , 3 ) , the fourth set that is disjointed is ξ ( 3 , 4 ) , and the fifth set that is disjointed is ξ ( 4 , 4 ) .
Figure 4 displays the H 3 B O 3 ( s , t ) layer structure as a line graph.
  • Entropy related to the ABC index of L ( H 3 BO 3 )
Let L ( H 3 B O 3 ) be a line graph of H 3 B O 3 ( s , t ) ). Then by using Equation (1) and Table 2, the A B C polynomial is
A B C L ( H 3 B O 3 ) = ξ ( 2 3 ) x 2 + 3 2 2 × 3 + ξ ( 2 4 ) x 2 + 4 2 2 × 4 + ξ ( 3 3 ) x 3 + 3 2 3 × 3 + ξ ( 3 4 ) x 3 + 4 2 3 × 4 + ξ ( 4 4 ) x 4 + 4 2 4 × 4 = 6 ( 1 + t + s ) x 1 2 + 2 ( s + t + 1 ) x 1 2 + 4 ( s + t + 3 s t 2 ) x 2 3 + 2 ( 5 s + 5 t + 6 s t 1 ) x 5 12 + 2 ( s + t + 3 s t 2 ) x 3 8 .
Taking the first derivative of Equation (23) at x = 1 , we get the A B C index
A B C L ( H 3 B O 3 ) = 6 ( 1 + t + s ) 1 2 + 2 3 ( 24 s t + 11 s + 11 t 5 ) + 2 ( 5 s + 5 t + 6 s t 1 ) 5 12 + 2 ( s + t + 3 s t 2 ) 3 8
Here, we determine the A B C entropy by using Table 2 and Equation (24) in Equation (6) according to the following:
E N T = log ( A B C ) 1 A B C log { ξ ( 2 , 3 ) [ ( V a i + V a j 2 ) ( V a i × V a j ) ] [ ( V a i + V a j 2 ) ( V a i × V a j ) ] × ξ ( 2 , 4 ) [ ( V a i + V a j 2 ) ( V a i × V a j ) ] [ ( V a i + V a j 2 ) ( V a i × V a j ) ] × ξ ( 3 , 3 ) [ ( V a i + V a j 2 ) ( V a i × V a j ) ] [ ( V a i + V a j 2 ) ( V a i × V a j ) ] × ξ ( 3 , 4 ) [ ( V a i + V a j 2 ) ( V a i × V a j ) ] [ ( V a i + V a j 2 ) ( V a i × V a j ) ] × ξ ( 4 , 4 ) [ ( V a i + V a j 2 ) ( V a i × V a j ) ] [ ( V a i + V a j 2 ) ( V a i × V a j ) ] } = log ( A B C ) 1 A B S log { 6 ( 1 + t + s ) ( 1 2 ) 1 2 + 2 ( s + t + 1 ) ( 1 2 ) 1 2 + 4 ( s + t + 3 s t 2 ) ( 2 3 ) 2 3 + 2 ( 5 s + 5 t + 6 s t 1 ) ( 5 12 ) 5 12 + 2 ( s + t + 3 s t 2 ) ( 3 8 ) 3 8 } .
  • Entropy related to the ABS index of L ( H 3 BO 3 )
Let L ( H 3 B O 3 ) be a line graph of H 3 B O 3 ( s , t ) ). Then by using Equation (2) and Table 2, the A B S polynomial is
A B S L ( H 3 B O 3 ) = ξ ( 2 3 ) x 2 + 3 2 2 + 3 + ξ ( 2 4 ) x 2 + 4 2 2 + 4 + ξ ( 3 3 ) x 3 + 3 2 3 + 3 + ξ ( 3 4 ) x 3 + 4 2 3 + 4 + ξ ( 4 4 ) x 4 + 4 2 4 + 4 = 6 ( 1 + t + s ) x 3 5 + 2 ( s + t + 1 ) x 2 3 + 4 ( s + t + 3 s t 2 ) x 2 3 + 2 ( 5 s + 5 t + 6 s t 1 ) x 5 7 + 2 ( s + t + 3 s t 2 ) x 3 4 .
Taking the first derivative of Equation (26) at x = 1 , we get the A B S index
A B S ( L ( H 3 B O 3 ) ) = 6 ( 1 + t + s ) 3 5 + 2 ( 6 s t + 3 s + 3 t 3 ) 2 3 + 2 ( 5 s + 5 t + 6 s t 1 ) 5 7 + 2 ( s + t + 3 s t 2 ) 3 4 .
Here, we determine the A B S entropy by using Table 2 and Equation (27) in Equation (6) according to the following:
E N T A B S ( L ( H 3 B O 3 ) ) = log ( A B S ) 1 A B S log { ξ ( 2 , 3 ) [ ( V a i + V a j 2 ) ( V a i + V a j ) ] [ ( V a i + V a j 2 ) ( V a i + V a j ) ] × ξ ( 2 , 4 ) [ ( V a i + V a j 2 ) ( V a i + V a j ) ] [ ( V a i + V a j 2 ) ( V a i + V a j ) ] × ξ ( 3 , 3 ) [ ( V a i + V a j 2 ) ( V a i + V a j ) ] [ ( V a i + V a j 2 ) ( V a i + V a j ) ] × ξ ( 3 , 4 ) [ ( V a i + V a j 2 ) ( V a i + V a j ) ] [ ( V a i + V a j 2 ) ( V a i + V a j ) ] × ξ ( 4 , 4 ) [ ( V a i + V a j 2 ) ( V a i + V a j ) ] [ ( V a i + V a j 2 ) ( V a i + V a j ) ] } = log ( A B S ) 1 A B S log { 6 ( 1 + t + s ) ( 3 5 ) 3 5 + 2 ( s + t + 1 ) ( 2 3 ) 2 3 + 4 ( s + t + 3 s t 2 ) ( 2 3 ) 2 3 + 2 ( 5 s + 5 t + 6 s t 1 ) ( 5 7 ) 5 7 + 2 ( s + t + 3 s t 2 ) ( 3 4 ) 3 4 } .
  • Entropy related to the Albertson index of L ( H 3 BO 3 )
Let L ( H 3 B O 3 ) be a line graph of H 3 B O 3 ( s , t ) ). Then by using Equation (3) and Table 2, the Albertson index is
A ( G , x ) L ( H 3 B O 3 ) = ξ ( 2 3 ) x | 2 3 | + ξ ( 2 4 ) x | 2 4 | + ξ ( 3 3 ) x | 3 3 | + ξ ( 3 4 ) x | 3 4 | + ξ ( 4 4 ) x | 4 4 | = 6 ( 1 + t + s ) x + 2 ( s + t + 1 ) x 2 + 4 ( s + t + 3 s t 2 ) + 2 ( 5 s + 5 t + 6 s t 1 ) x + 2 ( s + t + 3 s t 2 ) .
Taking the first derivative of Equation (29) at x = 1 , we get the Albertson index
A ( G , x ) ( L ( H 3 B O 3 ) ) = 2 ( 15 s t + 13 s + 13 t 2 )
Here, we determine the A entropy by using Table 2 and Equation (30) in Equation (9) according to the following:
E N T A ( G , x ) ( L ( H 3 B O 3 ) ) = log ( A ) 1 A log { ξ ( 2 , 3 ) [ | V a i V a j | ] [ | V a i V a j | ] × ξ ( 2 , 4 ) [ | V a i V a j | ] [ | V a i V a j | ] × ξ ( 3 , 3 ) [ | V a i V a j | ] [ | V a i V a j | ] × ξ ( 3 , 4 ) [ | V a i V a j | ] [ | V a i V a j | ] × ξ ( 4 , 4 ) [ | V a i V a j | ] [ | V a i V a j | ] } = log 2 ( 15 s t + 13 s + 13 t 2 ) 1 2 ( 15 s t + 13 s + 13 t 2 ) log { 6 ( 1 + t + s ) + 4 ( s + t + 1 ) + 4 ( s + t + 3 s t 2 ) + 2 ( 5 s + 5 t + 6 s t 1 ) + 2 ( s + t + 3 s t 2 ) } .
  • Entropy related to the I R M index of L ( H 3 B O 3 )
Let L ( H 3 B O 3 ) be a line graph of H 3 B O 3 ( s , t ) . Then by using Equation (4) and Table 2, the I R M index is
I R M ( G , x ) L ( H 3 B O 3 ) = ξ ( 2 3 ) x [ 2 3 ] 2 + ξ ( 2 4 ) x [ 2 4 ] 2 + ξ ( 3 3 ) x [ 3 3 ] 2 + ξ ( 3 4 ) x [ 3 4 ] 2 + ξ ( 4 4 ) x [ 4 4 ] 2 = 6 ( 1 + t + s ) x + 2 ( s + t + 1 ) x 4 + 4 ( s + t + 3 s t 2 ) + 2 ( 5 s + 5 t + 6 s t 1 ) x + 2 ( s + t + 3 s t 2 ) .
Taking the first derivative of Equation (32) at x = 1 , we get the I R M index
I R M ( G , x ) ( L ( H 3 B O 3 ) ) = 30 s + 30 t + 30 s t .
Here, we determine the I R M entropy by using Table 2 and Equation (33) in Equation (10) according to the following:
E N T I R M ( L ( H 3 B O 3 ) ) = log ( I R M ) 1 I R M log { ξ ( 2 , 3 ) [ [ V a i V a j ] 2 ] [ [ V a i V a j ] 2 ] × ξ ( 2 , 4 ) [ [ V a i V a j ] 2 ] [ [ V a i V a j ] 2 ] × ξ ( 3 , 3 ) [ [ V a i V a j ] 2 ] [ [ V a i V a j ] 2 ] × ξ ( 3 , 4 ) [ [ V a i V a j ] 2 ] [ [ V a i V a j ] 2 ] × ξ ( 4 , 4 ) [ | V a i V a j | ] [ | V a i V a j | ] } = log ( 30 s + 30 t + 30 s t ) 1 30 s + 30 t + 30 s t log { 6 ( 1 + t + s ) + 8 ( s + t + 1 ) + 4 ( s + t + 3 s t 2 ) + 2 ( 5 s + 5 t + 6 s t 1 ) + 2 ( s + t + 3 s t 2 ) } .

3. Comparison and Conclusions

Here, molecular descriptors for the subdivision and line graph of the layer structure of H 3 B O 3 that are multiplicative and degree-based have been studied. Using these molecular descriptors, we compute the ABC entropy, ABS entropy, A entropy, and IRM entropy of the subdivision and line graph of the layer structure of H 3 B O 3 . Our results (entropies) help to describe the randomness and disorder of a molecule of H 3 B O 3 based on the number of different arrangements available to it in a given system or reaction. For instance, the atom–bond connectivity (ABC) index offers excellent calculations of the strain energy of molecules via correlation. When the temperatures of the production of alkanes are described using the ABC-index, a good quantitative structure–property relationship (QSPR) model (r = 0.9970) is produced.
The values of four degree-based indices, namely, the A B C -index, A B S -index, A-index, and I R M -index, are presented in this work, numerically in Table 3 and graphically in Figure 5. As shown in Figure 5, the values of all indices are directly proportional to the values of ( s , t ) , with the values of ( s , t ) along the x-axes and the resultant of the indices along the y-axes. The disparities between each topological index for a certain structure are revealed by these charts. The results of the computations demonstrate that the degree-based indices and entropy estimates depend greatly on the values of s and t or the molecular structure.

Author Contributions

Conceptualization, M.U.G.; Software, A.E.O.; Investigation, M.U.G.; Resources, M.C.; Writing—original draft, M.U.G.; Project administration, M.K.M.; Funding acquisition, R.G. These authors contributed equally to this work. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No data were used to support this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhang, Y.F.; Ghani, M.U.; Sultan, F.; Inc, M.; Cancan, M. Connecting SiO4 in Silicate and Silicate Chain Networks to Compute Kulli Temperature Indices. Molecules 2022, 27, 7533. [Google Scholar] [CrossRef] [PubMed]
  2. Chu, Y.M.; Khan, A.R.; Ghani, M.U.; Ghaffar, A.; Inc, M. Computation of Zagreb Polynomials and Zagreb Indices for Benzenoid Triangular & Hourglass System. Polycycl. Aromat. Compd. 2022, 1–10. [Google Scholar]
  3. De Bellis, J.; Bellucci, L.; Bottaro, G.; Labella, L.; Marchetti, F.; Samaritani, S.; Dell’Amico, D.B.; Armelao, L. Single-crystal-to-single-crystal post-synthetic modifications of three-dimensional LOFs (Ln = Gd, Eu): A way to modulate their luminescence and thermometric properties. Dalton Trans. 2020, 49, 6030–6042. [Google Scholar] [CrossRef]
  4. Alam, A.; Ghani, M.U.; Kamran, M.; Shazib Hameed, M.; Hussain Khan, R.; Baig, A.Q. Degree-Based Entropy for a Non-Kekulean Benzenoid Graph. J. Math. 2022. [Google Scholar]
  5. Mikherdov, A.S.; Novikov, A.S.; Kinzhalov, M.A.; Zolotarev, A.A.; Boyarskiy, V.P. Intra-/intermolecular bifurcated chalcogen bonding in crystal structure of thiazole/thiadiazole derived binuclear (diaminocarbene) PdII complexes. Crystals 2018, 8, 112. [Google Scholar] [CrossRef] [Green Version]
  6. Ranjini, P.S.; Lokesha, V.; Usha, A. Relation between phenylene and hexagonal squeeze using harmonic index. Int. J. Graph Theory 2013, 1, 116–121. [Google Scholar]
  7. Saeed, N.; Long, K.; Mufti, Z.S.; Sajid, H.; Rehman, A. Degree-based topological indices of boron b6(3s + 3t + 4st − 1). J. Chem. 2021. [Google Scholar] [CrossRef]
  8. Anjum, M.S.; Safdar, M.U. K Banhatti and K hyper-Banhatti indices of nanotubes. Eng. Appl. Sci. Lett. 2019, 2, 19–37. [Google Scholar] [CrossRef]
  9. Khan, A.R.; Ghani, M.U.; Ghaffar, A.; Asif, H.M. Characterization of temperature indices of silicates. Res. Sq. 2022. [Google Scholar] [CrossRef]
  10. Kulli, V.R.; Chaluvaraju, B.; Boregowda, H.S. Connectivity Banhatti indices for certain families of benzenoid systems. J. Ultra Chem. 2017, 13, 81–87. [Google Scholar] [CrossRef]
  11. Kulli, V.R. On K Banhatti indices of graphs. J. Comput. Math. Sci. 2016, 7, 213–218. [Google Scholar]
  12. Ghani, M.U.; Sultan, F.; El Sayed, M.; Cancan, M.; Ali, S. SiO4 characterization in a chain and C6 H6 embedded in a Non-kekulean structure for Kulli Temperature indices. Res. Sq. 2022. [Google Scholar] [CrossRef]
  13. Kulli, V.R. On multiplicative K Banhatti and multiplicative K hyper-Banhatti indices of Vg Phenylenic nanotubes and nanotorus. Ann. Pure Appl. Math. 2016, 11, 145–150. [Google Scholar]
  14. Munir, M.; Nazeer, W.; Rafique, S.; Kang, S.M. M-polynomial and degree-based topological indices of polyhex nanotubes. Symmetry 2016, 8, 149. [Google Scholar] [CrossRef] [Green Version]
  15. Mahmood, M.K.; Ali, S. A novel labeling algorithm on several classes of graphs. Punjab Univ. J. Math. 2017, 49, 23–35. [Google Scholar]
  16. Mahmood, M.K.; Ali, S. On super totient numbers, with applications and algorithms to graph labeling. Ars Comb. 2019, 143, 29–37. [Google Scholar]
  17. Ali, S.; Mahmood, M.K.; Shum, K.P. Novel classes of integers and their applications in graph labeling. Hacettepe J. Math. Stat 2021, 1, 1–17. [Google Scholar] [CrossRef]
  18. Ali, S.; Mahmmod, M.K.; Falcón Ganfornina, R.M. A paradigmatic approach to investigate restricted hyper totient graphs. AIMS Math. 2021, 6, 3761–3771. [Google Scholar] [CrossRef]
  19. Adonin, S.A.; Usoltsev, A.N.; Novikov, A.S.; Kolesov, B.A.; Fedin, V.P.; Sokolov, M.N. One-and two-dimensional iodine-rich iodobismuthate (III) complexes: Structure, optical properties, and features of halogen bonding in the solid state. Inorg. Chem. 2020, 59, 3290–3296. [Google Scholar] [CrossRef]
  20. Sakander, H. Computing distance-based topological descriptors of complex chemical networks: New theoretical techniques. Chem. Phys. Lett. 2017, 688, 51–58. [Google Scholar]
  21. Hu, M.; Ali, H.; Binyamin, M.A.; Ali, B.; Liu, J.B.; Fan, C. On distance-based topological descriptors of chemical interconnection networks. J. Math. 2021. [Google Scholar]
  22. Munir, M.; Nazeer, W.; Nizami, A.R.; Rafique, S.; Kang, S.M. M-polynomials and topological indices of titania nanotubes. Symmetry 2016, 8, 117. [Google Scholar] [CrossRef] [Green Version]
  23. Bashir, Y.; Aslam, A.; Kamran, M.; Qureshi, M.I.; Jahangir, A.; Rafiq, M.; Bibi, N.; Muhammad, N. On forgotten topological indices of some dendrimers structure. Molecules 2017, 22, 867. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Husin, M.N.; Hasni, R.; Arif, N.E.; Imran, M. On topological indices of certain families of nanostar dendrimers. Molecules 2016, 21, 821. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Nandini, G.K.; Rajan, R.S.; Shantrinal, A.A.; Rajalaxmi, T.M.; Rajasingh, I.; Balasubramanian, K. Topological and thermodynamic entropy measures for COVID-19 pandemic through graph theory. Symmetry 2020, 12, 1992. [Google Scholar] [CrossRef]
  26. Deng, H.; Yang, J.; Xia, F. A general modeling of some vertex-degree based topological indices in benzenoid systems and phenylenes. Comput. Math. Appl. 2011, 61, 3017–3023. [Google Scholar] [CrossRef] [Green Version]
  27. Li, Y.; Zhou, Z.; Shen, P.; Chen, Z. Two-dimensional polyphenylene: Experimentally available porous graphene as a hydrogen purification membrane. Chem. Commun. 2010, 46, 3672–3674. [Google Scholar] [CrossRef]
  28. Estrada, E.; Torres, L.; Rodriguez, L.; Gutman, I. An atom-bond connectivity index: Modelling the enthalpy of formation of alkanes. Indian J. Chem. A 1998, 37, 849–855. [Google Scholar]
  29. Zhou, B.; Trinajstić, N. On a novel connectivity index. J. Math. Chem. 2009, 46, 1252–1270. [Google Scholar] [CrossRef]
  30. Ali, A.; Furtula, B.; Redžepović, I.; Gutman, I. Atom-bond sum-connectivity index. J. Math. Chem. 2022, 60, 2081–2093. [Google Scholar] [CrossRef]
  31. Albertson, I.; Michael, O. The irregularity of a graph. Ars Comb. 1997, 46, 219–225. [Google Scholar]
  32. Hussain, Z.; Munir, M.; Rafique, S.; Min Kang, S. Topological characterizations and index-analysis of new degree-based descriptors of honeycomb networks. Symmetry 2018, 10, 478. [Google Scholar] [CrossRef] [Green Version]
  33. Ghani, M.U.; Sultan, F.; Tag El Din, E.S.M.; Khan, A.R.; Liu, J.B.; Cancan, M. A Paradigmatic Approach to Find the Valency-Based K-Banhatti and Redefined Zagreb Entropy for Niobium Oxide and a Metal–Organic Framework. Molecules 2022, 27, 6975. [Google Scholar] [CrossRef]
  34. Manzoor, S.; Siddiqui, M.K.; Ahmad, S. Computation of entropy measures for phthalocyanines and porphyrins dendrimers. Int. J. Quantum Chem. 2022, 122, e26854. [Google Scholar] [CrossRef]
  35. Shannon, C.E. A mathematical theory of communication. Bell Syst. Tech. J. 1948, 27, 379–423. [Google Scholar] [CrossRef]
Figure 1. Boric acid H 3 B O 3 .
Figure 1. Boric acid H 3 B O 3 .
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Figure 2. Layer structure of H 3 B O 3 .
Figure 2. Layer structure of H 3 B O 3 .
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Figure 3. Subdivision of H 3 B O 3 .
Figure 3. Subdivision of H 3 B O 3 .
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Figure 4. Line graph of H 3 B O 3 .
Figure 4. Line graph of H 3 B O 3 .
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Figure 5. Graphical Comparison of A B C -index, A B S -index, Albertson index and I R M -index.
Figure 5. Graphical Comparison of A B C -index, A B S -index, Albertson index and I R M -index.
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Table 1. Edge division based on vertices in the layer structure of subdivision H 3 B O 3 ( s , t ) .
Table 1. Edge division based on vertices in the layer structure of subdivision H 3 B O 3 ( s , t ) .
Atomic bond type ξ ( 1 , 2 ) ξ 2 2 ξ 2 3
Number of atom bonds 2 ( s + t + 1 ) 12 ( s t + s + t ) 6 ( 3 s + 3 t + 4 s t 1 )
Table 2. Edge division based on vertices in the line graph H 3 B O 3 ( s , t ) layer structure.
Table 2. Edge division based on vertices in the line graph H 3 B O 3 ( s , t ) layer structure.
Atomic bonds ξ 2 3 ξ 2 4 ξ 3 3 ξ 3 4 ξ 4 4
Cardinality 6 ( 1 + t + s ) 2 ( s + t + 1 ) 4 ( s + t + 3 s t 2 ) 2 ( 5 s + 5 t + 6 s t 1 ) 2 ( s + t + 3 s t 2 )
Table 3. Numerical comparison of molecular descriptors.
Table 3. Numerical comparison of molecular descriptors.
Values of (s,t) ABC -Index ABS -IndexAlbertson Index IRM -Index
(1, 2)115.948120.98164164
(2, 3)263.004275.844372372
(3, 4)460.964484.636652652
(4, 5)709.828747.35610041004
(5, 6)1009.5961064.00414281428
(6, 7)1360.2681434.5819241924
(7, 8)1761.8441859.08424922492
(8, 9)2214.3242337.51631323132
(9, 10)2717.7082869.87638443844
(10, 11)3271.9963456.16446284628
(11, 12)3877.1884096.3854845484
(12, 13)4533.2844790.52464126412
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Ghani, M.U.; Kashif Maqbool, M.; George, R.; Ofem, A.E.; Cancan, M. Entropies Via Various Molecular Descriptors of Layer Structure of H3BO3. Mathematics 2022, 10, 4831. https://0-doi-org.brum.beds.ac.uk/10.3390/math10244831

AMA Style

Ghani MU, Kashif Maqbool M, George R, Ofem AE, Cancan M. Entropies Via Various Molecular Descriptors of Layer Structure of H3BO3. Mathematics. 2022; 10(24):4831. https://0-doi-org.brum.beds.ac.uk/10.3390/math10244831

Chicago/Turabian Style

Ghani, Muhammad Usman, Muhammad Kashif Maqbool, Reny George, Austine Efut Ofem, and Murat Cancan. 2022. "Entropies Via Various Molecular Descriptors of Layer Structure of H3BO3" Mathematics 10, no. 24: 4831. https://0-doi-org.brum.beds.ac.uk/10.3390/math10244831

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