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On analysis of iron (II) chloride via graph entropy measures and statistical models

  • Hao Zhou
  • , Muhammad Farhan Hanif*
  • , Hasan Mahmood
  • , Muhammad Kamran Siddiqui
  • , Mazhar Hussain
  • , Samuel Asefa Fufa
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The crystalline material that is greenish-white and dissolves in water is iron chloride. It is utilized in sewage treatment, dyeing, and medicine. Graph entropy plays a significant role in measuring the complexity of atoms, molecules, and structures in nature. It has specific chemical applications in biology, neuroscience, and chemistry. A compound s molecular structure consists of many atoms. Particularly, hydrocarbons are a chemical combination of hydrogen and carbon atoms. In this article, we discuss the entropy of the chemical structure Iron (II) Chloride. Additionally, we discuss the idea of degree-based indices and compute the Shannon entropy(ENT) using these indices. The linear regression(LR) of various indices and entropies for iron chloride, FeCl2, is also discussed. Also, we link the degree-based indices and entropies via line fit.

Original languageEnglish
Article numbere0294580
JournalPLoS ONE
Volume19
Issue number1 January
DOIs
StatePublished - 20 Jan 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 Public Library of Science. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

ASJC Scopus subject areas

  • General

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