通过在潜在能量表面上指纹空间集成加速结构优化
Shuo Tao1, Xuecheng Shao1, Li Zhu1
1Department of Physics, Rutgers University, Newark, New Jersey 07102, United States.
The journal of physical chemistry letters
|March 13, 2024
概括
这项研究引入了一种用于材料研究的新型计算方法,可以增强结构优化. 通过整合指纹空间和混合能量概念,它有效地引导对稳定,高对称结构的搜索.
科学领域:
- 计算材料科学科学 计算材料科学
- 材料 发现 发现 发现
- 晶体学 晶体学是指结晶学.
背景情况:
- 结构优化对于计算材料研究和结构预测至关重要.
- 现有的方法在发现能量有利的配置方面可能是低效的.
研究的目的:
- 开发一种新的方法来提高地方结构优化的效率.
- 改进高对称性,低能耗材料结构的发现.
主要方法:
- 将额外的指纹空间集成到优化过程中.
- 利用混合能源概念,将实际能源和指纹能源结合起来.
- 利用原子环境对称性来指导优化.
主要成果:
- 在,碳化和莱纳德-斯集群的结构优化中表现出有效性.
- 指纹空间偏差显著提高了找到有利,高对称性结构的概率.
- 在发现稳定配置方面优于传统的优化技术.
结论:
- 拟议的方法简化了对新材料的搜索.
- 通过对称导向优化,方便发现新的,在能量上有利的原子配置.
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