一种使用图形理论提炼和选择随机晶体结构的通用方法
Shaobo Yu1, Junjie Wang1, Yu Han1
1National Laboratory of Solid State Microstructures, School of Physics and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
The Journal of chemical physics
|September 3, 2025
概括
这项研究提出了一种使用最小信息的随机晶体结构的新方法. 这种方法有效地产生了大量的低能量晶体结构,加速了对稳定的材料的搜索.
科学领域:
- 材料科学
- 晶体学
- 计算化学
背景情况:
- 预测未知的晶体结构对于材料的发现至关重要.
- 目前的方法通常需要大量的计算资源或先前的知识.
- 有效地产生多样化和稳定的初始结构是一个关键挑战.
研究的目的:
- 开发一种通用,最少信息的方法来精制和选择随机的晶体结构.
- 提高晶体结构预测算法的效率和成功率.
主要方法:
- 一种使用近邻分析得出的分数图的新方法.
- 通过基于图形的拓信息来改进初始的随机结构.
- 在九个不同的化学系统中进行验证.
主要成果:
- 这种方法成功地产生了大量的低能量晶体结构.
- 在各种系统中提炼随机结构的有效性.
- 这种方法需要最少的预先信息来生成结构.
结论:
- 开发的方法提供了一种强大的方法,用于生成高质量的初始结构,以预测晶体结构.
- 整合到现有算法可以显著加快基本状态晶体结构的发现.
- 这种技术提高了探索材料设计空间的效率.
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