LAPSE:2019.1268
Published Article
LAPSE:2019.1268
Computational Analysis of Imbalance-Based Irregularity Indices of Boron Nanotubes
Bin Yang, Mobeen Munir, Shazia Rafique, Haseeb Ahmad, Jia-Bao Liu
December 9, 2019
Molecular topology provides a basis for the correlation of physical as well as chemical properties of a certain molecule. Irregularity indices are used as functions in the statistical analysis of the topological properties of certain molecular graphs and complex networks, and hence help us to correlate properties like enthalpy, heats of vaporization, and boiling points etc. with the molecular structure. In this article we are interested in formulating closed forms of imbalance-based irregularity measures of boron nanotubes. These tubes are known as α-boron nanotube, triangular boron nanotubes, and tri-hexagonal boron nanotubes. We also compare our results graphically and come up with the conclusion that alpha boron tubes are the most irregular with respect to most of the irregularity indices.
Keywords
alpha boron tube, boron nanotube, complexity of structure, irregularity measure, tri-hexagonal boron nanotube, triangular boron tube
Subject
Suggested Citation
Yang B, Munir M, Rafique S, Ahmad H, Liu JB. Computational Analysis of Imbalance-Based Irregularity Indices of Boron Nanotubes. (2019). LAPSE:2019.1268
Author Affiliations
Yang B: School of artificial Intelligence and big data, Hefei University, Hefei 230601, China
Munir M: Department of Mathematics, Division of Science and Technology, University of Education, Lahore 54000, Pakistan [ORCID]
Rafique S: Center for Excellence in Molecular Biology, Punjab University Lahore, Lahore 53700, Pakistan
Ahmad H: Department of Mathematics, Division of Science and Technology, University of Education, Lahore 54000, Pakistan
Liu JB: School of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, China; School of Mathematics, Southeast University, Nanjing 210096, China [ORCID]
Journal Name
Processes
Volume
7
Issue
10
Article Number
E678
Year
2019
Publication Date
2019-10-01
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7100678, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2019.1268
This Record
External Link

doi:10.3390/pr7100678
Publisher Version
Download
Files
[Download 1v1.pdf] (1.9 MB)
Dec 9, 2019
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
339
Version History
[v1] (Original Submission)
Dec 9, 2019
 
Verified by curator on
Dec 9, 2019
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2019.1268
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version