马可维多元代理蒙特卡洛方法作为限制和不受限制的Hartree-Fock和Kohn-Sham-DFTSCF问题的微分演化方法
Linus Bjarne Dittmer1, Andreas Dreuw1
1Interdisciplinary Center for Scientific Computing, Ruprecht-Karls University, Im Neuenheimer Feld 205, 69120 Heidelberg, Germany.
The Journal of chemical physics
|October 3, 2023
概括
新的马科维亚多元代理蒙特卡洛二次自相一致场算法 (M3-SOSCF) 为自相一致场 (SCF) 计算提供了可靠的收. 这种强大而高效的方法超越了现有的算法,即使是困难的初始猜测.
科学领域:
- 计算化学的计算化学
- 量子化学 是一个量子化学.
- 算法开发 算法开发
背景情况:
- 自相一致的场 (SCF) 计算是量子化学的基础.
- 在SCF计算中的趋同问题,特别是对于单一参考方法,可能会阻碍准确的电子结构确定.
- 现有的二次自相一致场 (SOSCF) 方法在具有挑战性的情况下可能缺乏稳定性和可靠性.
研究的目的:
- 为SCF计算引入一个新的,可靠的算法.
- 解决和克服标准SCF和SOSCF方法遇到的趋同困难.
- 开发一个强大,高效和用户友好的SCF方法.
主要方法:
- 开发了马科维亚多元代理蒙特卡洛二阶自相一致场算法 (M3-SOSCF).
- 使用修改的差异进化方法来增强融合.
- 利用令人尬的并行和模块化设计与牛顿-拉普森子程序集成.
主要成果:
- 与当代SOSCF方法相比,M3-SOSCF在融合SCF计算中表现出更高的可靠性.
- 该算法成功地处理了SCF计算,但最初的猜测很差.
- M3-SOSCF有效地解决了标准算法存在问题的SCF计算.
结论:
- M3-SOSCF为具有挑战性的SCF计算提供了强大而高效的解决方案.
- 该算法的可靠性和用户友好性超过目前的SOSCF方法.
- 这种新方法提高了电子结构计算的准确性和适用性.
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