用拉普拉斯变换和自然辅助函数加快分析延续GW计算
Johannes Tölle1, Niklas Niemeyer2, Johannes Neugebauer2
1Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
一种基于拉普拉斯变换 (LT) 的新方法增强了绿色变换.
科学领域:
- 量子化学 是一个量子化学.
- 计算物理 计算物理
背景情况:
- 准确预测分子性质在量子化学中至关重要.
- 现有的格林函数 (GW) 计算方法可能是计算密集的.
研究的目的:
- 开发一个更有效,更准确的绿色的功能 (GW) 实现.
- 为了降低后自相一致场计算的计算成本.
主要方法:
- 结合拉普拉斯变换 (LT) 与自然辅助函数和冷核心近似用于GW计算.
- 将LT-GW方法集成到现有的量子化学框架中.
- 应用了贝特-萨尔佩特方程,实现了高效的实现.
主要成果:
- 演示了计算缩放的一个小前因子.
- 展示了简单的整合到当前的分子GW代码.
- 对大型系统 (最多352个原子) 实现了显著的性能改进.
结论:
- LT-GW方法为量子化学提供了一种计算效率高,准确的方法.
- 这种方法很容易适用于各种系统,并且可以很容易地集成.
- 与贝特-萨尔佩特方程的结合进一步提高了它的效用.
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