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...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2327235 |
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| author | Rongbing Huang Muhammad Farhan Hanif Muhammad Faisal Hanif Muhammad Kamran Siddiqui Tayyaba Noor Douhadji Abalo |
| author_facet | Rongbing Huang Muhammad Farhan Hanif Muhammad Faisal Hanif Muhammad Kamran Siddiqui Tayyaba Noor Douhadji Abalo |
| author_sort | Rongbing Huang |
| collection | DOAJ |
| description | 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 use the well-understood structural features of copper(II) fluoride, a chemical that is well known for its crystalline qualities, to uncover a variety of properties inherent in its network. This work makes use of the structural information available for copper(II) fluoride. After a thorough computational investigation, a rigorous statistical analysis is conducted to determine the distributions and correlations between heat of formation and the different topological indices. The findings reveal significant patterns and trends in the copper(II) fluoride network structure, providing insights into the underlying principles governing its material behavior. |
| format | Article |
| id | doaj-art-e90c96d7c077472b8c2888f7e761a478 |
| institution | DOAJ |
| issn | 0883-9514 1087-6545 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Applied Artificial Intelligence |
| spelling | doaj-art-e90c96d7c077472b8c2888f7e761a4782025-08-20T02:49:22ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452024-12-0138110.1080/08839514.2024.2327235Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting ModelsRongbing Huang0Muhammad Farhan Hanif1Muhammad Faisal Hanif2Muhammad Kamran Siddiqui3Tayyaba Noor4Douhadji Abalo5School of Computer Science, Chengdu University, Chengdu, ChinaDepartment of Mathematics and Statistics, The University of Lahore, Lahore, PakistanDepartment of Mathematics, COMSATS University Islamabad, Islamabad, PakistanDepartment of Mathematics, COMSATS University Islamabad, Islamabad, PakistanDepartment of Mathematics, COMSATS University Islamabad, Islamabad, PakistanDepartment of Mathematics, University of Lome, Lome, TogoOne 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 use the well-understood structural features of copper(II) fluoride, a chemical that is well known for its crystalline qualities, to uncover a variety of properties inherent in its network. This work makes use of the structural information available for copper(II) fluoride. After a thorough computational investigation, a rigorous statistical analysis is conducted to determine the distributions and correlations between heat of formation and the different topological indices. The findings reveal significant patterns and trends in the copper(II) fluoride network structure, providing insights into the underlying principles governing its material behavior.https://www.tandfonline.com/doi/10.1080/08839514.2024.2327235 |
| spellingShingle | Rongbing Huang Muhammad Farhan Hanif Muhammad Faisal Hanif Muhammad Kamran Siddiqui Tayyaba Noor Douhadji Abalo Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models Applied Artificial Intelligence |
| title | Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models |
| title_full | Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models |
| title_fullStr | Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models |
| title_full_unstemmed | Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models |
| title_short | Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models |
| title_sort | analyzing topological indices and heat of formation for copper ii fluoride network via curve fitting models |
| url | https://www.tandfonline.com/doi/10.1080/08839514.2024.2327235 |
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