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

Autor: Zhou H; School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, China., Hanif MF; Department of Mathematics and Statistics, The University of Lahore, Lahore Campus, Lahore, Pakistan., Mahmood H; Department of Mathematics and Statistics, The University of Lahore, Lahore Campus, Lahore, Pakistan.; Department of Mathematics, Government College University, Lahore, Pakistan., Siddiqui MK; Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Islamabad, Pakistan., Hussain M; Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Islamabad, Pakistan., Fufa SA; Department of Mathematics, Addis Ababa University, Addis Ababa, Ethiopia.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Jan 02; Vol. 19 (1), pp. e0294580. Date of Electronic Publication: 2024 Jan 02 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0294580
Abstrakt: 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.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Zhou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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