化学化合物的网络拓映射空间空间
Georgios Tsekenis1,2, Giulio Cimini3, Marinos Kalafatis4
1Institute for Complex Systems, National Research Council, Rome, Italy. geotsek@gmail.com.
Scientific reports
|March 4, 2024
概括
我们分析了化学和物质网络,发现了不同的连接模式. 元素-化合物关系揭示了受元素丰度影响的网络结构,为化学复杂性提供了洞察力.
科学领域:
- 网络科学 网络科学
- 化学 化学 化学
- 材料科学 材料科学 材料科学
背景情况:
- 关系网络对于理解复杂系统至关重要.
- 化学元素和化合物形成复杂的关系.
- 之前的研究已经探索了化学网络,但缺乏比较的拓分析.
研究的目的:
- 定义和分析化学元素和化合物的双部分和单部分关系网络.
- 研究这些网络中的拓性质和社区结构.
- 使用元素丰度建模观察到的网络连接.
主要方法:
- 使用无机化学和物质化合物数据集构建关系网络.
- 对网络连接,度分布和模块化的拓分析.
- 应用基于元素丰度的适应性模型来复制网络结构.
主要成果:
- 材料网络表现出指数级的连接性,而化学网络则显示出脂肪尾分布.
- 氧气在复合网络中形成了一个高度连接的枢纽.
- 化学网络比物质网络更模块化,在社区中具有明显的主导元素.
结论:
- 网络拓学受到元素丰富度的显著影响.
- 关系网络分析为理解化学复杂性提供了一个框架.
- 该方法适用于其他成分复合系统.
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