通过Revan拓描述器对酸盐和氧化物网络进行数学研究,以探索分子复杂性和连接性
Qun Zhang1, Zubair Ahmad2, Asad Ullah3
1School of Mathematics and Statistics, Suzhou University, Suzhou, 234000, Anhui, China.
Scientific reports
|March 8, 2025
概括
这项研究使用化学图形理论和Revan拓指数来分析酸盐和氧化物网络. 了解它们的分子拓学增强了纳米技术和材料科学中的应用.
科学领域:
- 材料科学 材料科学 材料科学
- 化学 化学 化学
- 计算化学计算化学
背景情况:
- 氧化物和酸盐框架的结构适应性对于气体储存,药物输送,电子和催化应用至关重要.
- 了解这些网络的分子拓是优化它们在各种工业应用中的性能的关键.
研究的目的:
- 用化学图形理论探索酸盐和氧化物网络的结构复杂性.
- 通过拓指数量化评估各种酸盐和氧化物框架的结构和物理化学特性.
主要方法:
- 将材料表示为分子图形,原子作为顶点,键作为边缘.
- 采用一套全面的Revan拓指数 (例如,第一个Revan指数,修改的Revan指数,超级Revan指数,Sombor Revan指数) 来进行分析.
- 分析链酸盐,链氧化物框架,板氧化物框架和板酸盐框架.
主要成果:
- 图形和数值分析为酸盐和氧化物网络的结构属性关系提供了新的见解.
- 该研究量化了基于分子拓学的结构和物理化学性质.
- 确定了对提高材料性能至关重要的拓特征.
结论:
- 这项研究加深了对化学网络及其结构-属性关系的理解.
- 这些发现有助于在纳米技术,环境修复和材料科学中更有效地应用酸盐和氧化物材料.
- 在化学和材料科学中推进理论知识和实际应用.
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