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增量嵌入:一种分子的密度矩阵嵌入方案。

Incremental embedding: A density matrix embedding scheme for molecules.

机构信息

Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

出版信息

J Chem Phys. 2018 Nov 21;149(19):194108. doi: 10.1063/1.5053992.

DOI:10.1063/1.5053992
PMID:30466262
Abstract

The idea of using fragment embedding to circumvent the high computational scaling of accurate electronic structure methods while retaining high accuracy has been a long-standing goal for quantum chemists. Traditional fragment embedding methods mainly focus on systems composed of weakly correlated parts and are insufficient when division across chemical bonds is unavoidable. Recently, density matrix embedding theory and other methods based on the Schmidt decomposition have emerged as a fresh approach to this problem. Despite their success on model systems, these methods can prove difficult for realistic systems because they rely on either a rigid, non-overlapping partition of the system or a specification of some special sites (i.e., "edge" and "center" sites), neither of which is well-defined in general for real molecules. In this work, we present a new Schmidt decomposition-based embedding scheme called that allows the combination of arbitrary overlapping fragments without the knowledge of edge sites. This method forms a convergent hierarchy in the sense that higher accuracy can be obtained by using fragments involving more sites. The computational scaling for the first few levels is lower than that of most correlated wave function methods. We present results for several small molecules in atom-centered Gaussian basis sets and demonstrate that incremental embedding converges quickly with fragment size and recovers most static correlation in small basis sets even when truncated at the second lowest level.

摘要

使用片段嵌入来规避精确电子结构方法的高计算扩展,同时保持高精度,这一直是量子化学家的长期目标。传统的片段嵌入方法主要关注弱相关部分组成的系统,当不可避免地需要跨越化学键进行划分时,这些方法就不够用了。最近,密度矩阵嵌入理论和其他基于 Schmidt 分解的方法已经成为解决这个问题的新方法。尽管这些方法在模型系统上取得了成功,但对于实际系统来说,它们可能会很困难,因为它们要么依赖于系统的刚性、非重叠划分,要么依赖于某些特殊位点(即“边缘”和“中心”位点)的指定,而这两者在一般情况下对于实际分子来说都不是明确的。在这项工作中,我们提出了一种新的基于 Schmidt 分解的嵌入方案,称为 ,它允许在不知道边缘位点的情况下组合任意重叠的片段。该方法在收敛性方面形成了一个层次结构,通过使用涉及更多位点的片段,可以获得更高的精度。前几个层次的计算扩展比大多数相关波函数方法都要低。我们在原子中心高斯基组中展示了几个小分子的结果,并证明了增量嵌入可以快速收敛,并且即使在截断到第二低水平时,也可以在小基组中快速恢复大部分静态相关。

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引用本文的文献

1
Bootstrap Embedding for Molecules.分子的自训练嵌入
J Chem Theory Comput. 2019 Aug 13;15(8):4497-4506. doi: 10.1021/acs.jctc.9b00529. Epub 2019 Aug 5.