Skip to main navigation Skip to search Skip to main content

A comprehensive topological and statistical investigation of entropy in triniobium compounds

  • Abdullah Ali H. Ahmadini
  • , Shokrya Saleh A. Alshqaq
  • , Muhammad Farhan Hanif
  • , Mazhar Hussain*
  • , Muhammad Kamran Siddiqui
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The molecular graph is an excellent platform for inspecting several structural and chemical properties of compounds by considering atoms as vertices and chemical bonds as edges. In this regard, the triniobium tridecabromide crystalline compound comes into prominence because of its various important uses. With the view to attaining more information on structural aspects of triniobium tridecabromide, some new indices that were first of all defined relating vertex degree to enhance further characteristic representation of its molecular graph have been defined in this paper. To express this dynamical nature and observe tendencies, more entropy computation is done by logarithmic fitting. Also, other topological indices related to entropy are analyzed for relations with Pearson’s correlation study. The results will be presented through a complete heat map representation of Pearson’s correlation study. This, along with numerical and graphical comparison by computational tools like Maple, MATLAB, and Python, provides insight into both molecular and dynamic properties of given molecules. This integrated approach, in turn, provides an understanding of the interplay of topological indices and entropy for efficient characterization and applications of triniobium tridecabromide under various conditions.

Original languageEnglish
Pages (from-to)6763-6778
Number of pages16
JournalChemical Papers
Volume79
Issue number10
DOIs
StatePublished - Oct 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to the Institute of Chemistry, Slovak Academy of Sciences 2025.

Keywords

  • Degree based indices
  • Pearson correlation coefficient
  • Python
  • Regression models
  • Shannon entropy
  • Triniobium tridecabromide graph

ASJC Scopus subject areas

  • General Chemistry
  • Biochemistry
  • General Chemical Engineering
  • Industrial and Manufacturing Engineering
  • Materials Chemistry

Fingerprint

Dive into the research topics of 'A comprehensive topological and statistical investigation of entropy in triniobium compounds'. Together they form a unique fingerprint.

Cite this