Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-03-14 DOI:10.1080/08839514.2024.2327235

Rongbing Huang, Muhammad Farhan Hanif, Muhammad Faisal Hanif, Muhammad Kamran Siddiqui, Tayyaba Noor, Douhadji Abalo

引用次数: 0

Abstract

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 indice...

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通过曲线拟合模型分析氟化铜（II）网络的拓扑指标和形成热

当前材料研究中最重要的领域之一是通过拓扑指数棱镜对材料进行检验。对拓扑指数进行广泛的统计调查，可以帮助我们更好地了解材料的拓扑结构。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.