On Computation of Face Index of Certain Nanotubes

Ye, Ansheng; Javed, Aisha; Jamil, Muhammad Kamran; Sattar, Kanza Abdul; Aslam, Adnan; Iqbal, Zahid; Fahad, Asfand

doi:10.1155/2020/3468426

Cited by 3 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The novel face index models improve the efficiency of the coefficient of correlation r, adjusted coefficient of correlation r 2 , estimation of standard error s and Fisher ration F . The relationship between vertex connectivity index and face index for different benzenoid hydrocarbons have been discussed in articles, see [17,18].…”

Section: Introductionmentioning

confidence: 99%

Topological Properties of some Benzenoid Chemical Structures by Using Face Index

Sajid

Ishtiaq

2023

MSA

View full text Add to dashboard Cite

A variety of graphical invariants have been described and tested, offering lots of applications in the fields of Nano chemistry, computational networks and different scientific research areas. One commonly studied group of invariants is the topological index, which allows the prediction of the chemical, biological and physical properties of a chemical structure. Topological indexes are numerical quantities that can be used to describe the properties of the molecular graph. In this article, we computed the face index formula for certain molecular structures of benzenoid series such as polycyclic aromatic hydrocarbon (PAH), jagged-rectangle benzenoid system (JRB[m,n]) and the series of concealed non-kekulean benzenoid system.

show abstract

Section: Introductionmentioning

confidence: 99%

Topological Properties of some Benzenoid Chemical Structures by Using Face Index

Sajid

Ishtiaq

2023

MSA

View full text Add to dashboard Cite

show abstract

On boron nanotubes and their face index

Negi,

Lal,

Bhat

2023

Mechanics of Advanced Materials and Structures

View full text Add to dashboard Cite

Some new results on the face index of certain polycyclic chemical networks

Luo

Dawood

Jamil

et al. 2023

MBE

View full text Add to dashboard Cite

<abstract><p>Silicate minerals make up the majority of the earth's crust and account for almost 92 percent of the total. Silicate sheets, often known as silicate networks, are characterised as definite connectivity parallel designs. A key idea in studying different generalised classes of graphs in terms of planarity is the face of the graph. It plays a significant role in the embedding of graphs as well. Face index is a recently created parameter that is based on the data from a graph's faces. The current draft is utilizing a newly established face index, to study different silicate networks. It consists of a generalized chain of silicate, silicate sheet, silicate network, carbon sheet, polyhedron generalized sheet, and also triangular honeycomb network. This study will help to understand the structural properties of chemical networks because the face index is more generalized than vertex degree based topological descriptors.</p></abstract>

show abstract

On Computation of Face Index of Certain Nanotubes

Cited by 3 publications

References 13 publications

Topological Properties of some Benzenoid Chemical Structures by Using Face Index

Topological Properties of some Benzenoid Chemical Structures by Using Face Index

On boron nanotubes and their face index

Some new results on the face index of certain polycyclic chemical networks

Contact Info

Product

Resources

About