数学几何学和低对称性金属复杂系统的组
1Department of Chemistry, Faculty of Science, Tokyo University of Science, 1-3 Kagurazaka, Shinjuku-ku, Tokyo 162-8601, Japan.
Molecules (Basel, Switzerland)
|June 10, 2023
概括
化学研究需要新的数学方法,特别是对于低对称性分子. 这将利用计算化学和人工智能在材料设计方面的进步.
科学领域:
- 化学,材料科学和晶体学利用几何和对称等数学原理来分析3D结构.
背景情况:
- 拓学和微分几何学在材料设计和化学中发现了越来越多的应用.
- 现有的数学工具,如群理论,对于高对称性晶体是有效的,但对于低对称性分子是有限的.
- 晶体结构数据库为像希尔什菲尔德表面分析这样的计算化学方法提供了大数据潜力.
研究的目的:
- 为了突出低对称性分子化学当前数学方法的局限性.
- 倡导开发适合现代计算化学和人工智能的新数学方法.
主要方法:
- 审查现有的数学应用在化学,材料科学和晶体学.
- 分析拓学,微分几何学和群理论的实用性.
- 考虑结晶结构数据库中的大数据,用于计算化学.
主要成果:
- 像集团理论这样的传统数学方法对于分析低对称性的分子是不够的.
- 计算化学和人工智能的作用越来越大,需要新的数学框架.
- 拓学和大数据分析等新兴领域为化学研究提供了新的途径.
结论:
- 在化学研究中,急需新的数学策略.
- 这些新方法必须与计算化学和人工智能兼容.
- 推进材料设计和了解分子性质需要创新的数学工具.
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