复杂的线性响应函数用于高性能计算环境中的多配置自相一致的场波函数
Mikael Scott1, Mickael G Delcey1,2
1Division of Theoretical Chemistry and Biology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, SE-106 91 Stockholm, Sweden.
我们开发了有效的方法来计算复杂的线性响应函数,使用量子化学中的复杂极化传播器 (CPP) 方法. 这些进步加快了计算速度,并减少了大系统的内存使用,例如近100个原子的分子.
科学领域:
- 计算化学的计算化学
- 量子化学 是一个量子化学.
- 频谱学是一种光谱学.
背景情况:
- 对复杂的线性响应函数的高效评估对于多配置自相一致场 (MCSCF) 波函数至关重要.
- 现有的方法面临着对大规模计算的内存足迹和计算时间的挑战.
研究的目的:
- 介绍关于高效评估复杂线性响应函数的新进展.
- 解决大规模复杂极化传播器 (MC-CPP) 计算中的瓶问题.
- 引入一种用于分解MC-CPP光谱的新方法.
主要方法:
- 在Tamm-Dancoff近似 (TDA) 和随机相近似 (RPA) 中,使用复杂极化传播器 (CPP) 方法直接评估线性响应特性.
- 使用实代数与对称和反对称试验向量.
- 使用奇数值分解 (SVD) 来限制试验矢量子空间大小.
- 开发一个有效的并行实现和动态添加线性响应方程.
- 介绍了一种用于近似光谱分解成轨道激发的新方法.
主要成果:
- 成功实施了高效的MC-CPP计算,解决了内存和计算时间.
- 用数值示例展示了性能,包括大型分子的X射线光谱.
- 研究了核心轨道包含在活跃空间中对金属复合物的X射线光谱学的影响.
结论:
- 开发的方法显著提高了复杂的线性响应计算的效率.
- 该方法适用于大型分子系统和各种光谱应用.
- 光谱分解方法为电子转换提供了直观的见解.
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