一个适应的相似性内核和通用的凸外用于分子晶体结构预测
Jennie Martin1, Michele Ceriotti2, Graeme M Day1
1School of Chemistry and Chemical Engineering, University of Southampton, Southampton SO17 1BJ, U.K.
Crystal growth & design
|November 10, 2025
概括
研究人员改进了结晶结构预测,通过将通用凸体 (GCH) 方法与新的相似性内核进行调整. 这增强了机器学习,用于识别稳定的分子晶体和预测格子能量.
科学领域:
- 材料科学 材料科学 材料科学
- 计算化学计算化学
- 晶体学 晶体学是指结晶学.
背景情况:
- 确定稳定的晶体结构对于材料发现至关重要.
- 像通用凸船体 (GCH) 这样的现有方法对分子晶体有局限性.
- 选择相似度指标显著影响机器学习模型的性能.
研究的目的:
- 为改进分子晶体结构的分析,调整通用凸船体 (GCH) 方法.
- 为分子晶体开发一个更具物理意义的相似性核.
- 为了提高格子能量的预测和机器学习描述符的解释性.
主要方法:
- 修改了原子位置的光滑重叠 (SOAP) 内核,以更好地表示分子晶体相似性.
- 用新的SOAP内核将适应的GCH方法应用于有机分子晶体景观.
- 用高斯过程回归来进行格子能量预测.
主要成果:
- 经过调整的SOAP内核提供了机器学习描述符的更好的解释性.
- 在预测分子晶体的晶格能量方面表现出增强的性能.
- 在基于相似性的景观分析中强调了核心结构的敏感性.
结论:
- 适应的GCH方法与物理动机的SOAP内核改进了分子晶体结构分析.
- 内核设计是机器学习在晶体结构预测中的成功的一个关键因素.
- 这项工作为识别稳定的分子晶体提供了更强大的方法.
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