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On analysis of two-dimensional nickel-based organometallic network via statistical method

  • Muhammad Farhan Hanif*
  • , Mazhar Hussain
  • , Muhammad Kamran Siddiqui
  • , Ebraheem Alzahrani
  • , Zeeshan Saleem Mufti
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, we investigate the structural and topological properties of two-dimensional nickel-based organometallic frameworks (2D Ni-MOFs) using various topological descriptors and entropy measures. The frameworks are analyzed by calculating degree-based, edge-based, and Shannon entropy measures to quantify structural complexity and connectivity patterns. Additionally, logarithmic regression models are applied to establish the relationship between entropy measures and topological indices. The results demonstrate that entropy measures effectively capture the structural characteristics of the networks, with logarithmic models providing excellent fits, as evidenced by high R2 values. Violin plots are used to represent the distribution of entropy values and how they correlate with the respective topological indices. This article offers insightful information on the application of topological descriptors and entropy values in the exploration of complex networks and offers a useful approach to interpreting the structural characteristics of two-dimensional nickel-based organometallic frameworks.

Original languageEnglish
Pages (from-to)6041-6056
Number of pages16
JournalChemical Papers
Volume79
Issue number9
DOIs
StatePublished - Sep 2025
Externally publishedYes

Bibliographical note

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

Keywords

  • Logarithmic regression
  • Network
  • Nickel-based organometallic frameworks
  • Shannon entropy
  • Topological descriptors
  • Violin plot

ASJC Scopus subject areas

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

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