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

Area of Science:

• Materials Science
• Computational Chemistry
• Solid State Physics

Background:

• Copper(II) Fluoride (CuF2) is a versatile compound used in chemical synthesis, advanced materials, and electronics.
• Its unique crystal structure, with copper ions and fluoride anions, presents opportunities for studying elemental interactions.
• CuF2 shows potential for optoelectronic devices and conductive applications, making it relevant for next-generation technologies.

Purpose of the Study:

• To investigate the structural properties of Copper(II) Fluoride (CuF2).
• To understand how these structural properties influence the entropy of CuF2.
• To introduce and apply novel Zagreb indices for calculating entropy measures in CuF2.

Main Methods:

• Development and application of new Zagreb indices specific to CuF2's structure.
• Calculation of entropy measures using the proposed Zagreb indices.
• Construction of a regression model to analyze the relationship between indices and entropy.

Main Results:

• The study successfully calculated entropy measures for CuF2 using novel Zagreb indices.
• A regression model demonstrated a significant correlation between the calculated indices and entropy levels.
• The findings highlight the effectiveness of the proposed Zagreb indices in extracting meaningful structural information.

Conclusions:

• The novel Zagreb indices provide valuable insights into the structural properties and entropy of Copper(II) Fluoride.
• This research contributes to a better understanding of CuF2 alloys and related complex materials.
• The developed methods can aid in the design and exploration of advanced functional materials.