预测晶体结构的最佳性保证
Vladimir V Gusev1,2, Duncan Adamson1, Argyrios Deligkas1,3
1Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, University of Liverpool, Liverpool, UK.
Nature
|July 5, 2023
概括
预测晶体结构对于新材料至关重要. 本研究引入了一种结合组合和连续优化的新算法,以保证全球最佳识别,确保能量最佳性.
科学领域:
- 材料科学
- 计算化学
- 晶体学
背景情况:
- 晶体材料对于现代技术至关重要,其属性取决于其原子结构.
- 预测晶体结构是设计新型功能材料的关键.
- 目前用于结构预测的启发式方法缺乏找到最低能量配置的保证.
研究的目的:
- 开发一种具有保证能量最佳性的晶体结构预测方法.
- 建立晶体结构预测与算法理论之间的联系.
- 为预测或观察到的材料结构提供最终的能量状态.
主要方法:
- 制定晶体结构预测作为一个整数编程问题,以找到全局最佳值.
- 结合组合和连续优化技术.
- 使用随后的局部最小化来确定单元细胞内的最终原子位置.
主要成果:
- 在网格上确定最低能量的周期性原子排列.
- 直接确定具有被证明能效最佳的关键无机材料的正确结构.
- 建立与晶体结构预测算法理论的联系.
结论:
- 开发的算法提供了具有能量保证的晶体结构预测方法.
- 这种方法为现有和未来结构预测方法提供了基本真理.
- 该配方适用于量子化器,解决了原子配置的组合复杂性.
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