Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models
One of the most important fields in current materials research is the examination of materials through the prism of topological indices. An extensive statistical investigation of topological indices relevant to the characterization of copper(II) fluoride is presented in this paper. Our goal is to us...
Saved in:
| Main Authors: | Rongbing Huang, Muhammad Farhan Hanif, Muhammad Faisal Hanif, Muhammad Kamran Siddiqui, Tayyaba Noor, Douhadji Abalo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2327235 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analyzing boron oxide networks through Shannon entropy and Pearson correlation coefficient
by: Rongbing Huang, et al.
Published: (2024-11-01) -
Exploring Entropy Measures with Topological Indices on Subdivided Cage Networks via Linear Regression Analysis
by: Rongbing Huang, et al.
Published: (2024-12-01) -
On Topological Analysis of Niobium (II) Oxide Network via Curve Fitting and Entropy Measures
by: Muhammad Kamran Siddiqui, et al.
Published: (2022-01-01) -
Exploring the Distance-Based Topological Indices for Total Graphs via Numerical Comparison
by: Haseeb Ahmad, et al.
Published: (2024-01-01) -
On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene Models
by: Guangwu Liu, et al.
Published: (2022-01-01)