A Graph Entropy Measure From Urelement to Higher-Order Graphlets for Network Analysis

Huang, Ru; Chen, Zijian; Zhai, Guangtao; He, Jianhua; Chu, Xiaoli

doi:10.1109/tnse.2022.3216803

Cited by 4 publications

(1 citation statement)

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“…This work was done with a focus on the drug’s possible application in the treatment of COVID-19. Different graph entropy metrics, such as Urelement and Higher-Order Graphlets, were investigated by Huang et al [ 19 ]. Hayat et al [ 20 ] discussed the valency-based molecular descriptors for hydrocarbons.…”

Section: Introductionmentioning

confidence: 99%

On characterization of entropy measure using logarithmic regression model for Copper(II) Fluoride

Siddiqui,

Hussain,

Javed

et al. 2024

PLoS ONE

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The versatile uses of Copper(II) Fluoride (CuF2) are well known; these include its usage as a precursor in chemical synthesis as well as its contribution to the creation of sophisticated materials and electronics. There are interesting opportunities to study the interactions between these elements because of their unique crystal structure, which contains copper ions and fluoride anions. Its potential in optoelectronic devices and conductive qualities also make it a viable material for next-generation technologies. To better understand the structural properties of CuF2 and how they affect its entropy, we present new Zagreb indices in this study and use them to calculate entropy measures. We also build a regression model to clarify the relationship between the calculated indices and entropy levels. The findings of our investigation offer significant understanding regarding the ability of the suggested Zagreb indices to extract meaningful content and their correlation with entropy in the context of CuF2. This information is important for understanding CuF2 alloys and for exploring related complex materials.

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Section: Introductionmentioning

confidence: 99%