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Finite Element Modelling of a Cellular Electric Microenvironment
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Study of electronegativity from a network perspective.

Guoyong Mao1, Runzhan Liu2, Ning Zhang3

  • 1School of Electrical and Information Engineering, Changzhou Institute of Technology, Changzhou, 213022, China. maogy@czust.edu.cn.

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|February 28, 2025
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Summary
This summary is machine-generated.

We introduce comparative attractiveness (CA), a new index derived from electronegativity differences in directed chemical networks. This index reveals inherent elemental properties and aids in predicting compounds.

Keywords:
Comparative attractivenessDirected networkElectronegativityIndegreeOutdegree

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Area of Science:

  • Chemistry
  • Chemical networks
  • Materials science

Background:

  • Previous work established undirected chemical networks.
  • Electronegativity is a fundamental chemical property.
  • Directed networks offer new insights into elemental interactions.

Purpose of the Study:

  • To construct directed chemical networks using electronegativity scales.
  • To define and investigate a new index, comparative attractiveness (CA).
  • To explore the relationship between CA and electronegativity.

Main Methods:

  • Construction of 5 directed networks based on 5 electronegativity scales.
  • Defining edge direction by electronegativity differences.
  • Calculating indegree and outdegree for elements.
  • Introducing and analyzing the comparative attractiveness (CA) index.

Main Results:

  • Indegree and outdegree reflect inherent chemical properties of elements.
  • Comparative attractiveness (CA) is correlated with electronegativity.
  • CA is consistent with electronegativity and can be considered an internal elemental property.

Conclusions:

  • The CA index provides a new perspective on chemical properties.
  • CA can predict potential binary compounds.
  • CA serves to assess the rationality of electronegativity scales.