Nguyen Lan Tran, Kananenka Alexei A, Zgid Dominika
Department of Chemistry and ‡Department of Physics, University of Michigan , Ann Arbor, Michigan 48109, United States.
J Chem Theory Comput. 2016 Oct 11;12(10):4856-4870. doi: 10.1021/acs.jctc.6b00638. Epub 2016 Sep 21.
We present a detailed discussion of the self-energy embedding theory (SEET), which is a quantum embedding scheme allowing us to describe a chosen subsystem very accurately while keeping the description of the environment at a lower level. We apply SEET to molecular examples where our chosen subsystem is made out of a set of strongly correlated orbitals while the weakly correlated orbitals constitute an environment. Consequently, a highly accurate method is used to calculate the self-energy for the system, while a lower-level method is employed to find the self-energy for the environment. Such a self-energy separation is very general, and to make the SEET procedure applicable to multiple systems, a detailed and practical procedure for the evaluation of the system and environment self-energy is necessary. We list all of the intricacies for one of the possible procedures while focusing our discussion on many practical implementation aspects such as the choice of best orbital basis, impurity solver, and many steps necessary to reach chemical accuracy. Finally, on a set of carefully chosen molecular examples, we demonstrate that SEET, which is a controlled, systematically improvable Green's function method, can be as accurate as established wave function quantum chemistry methods.
我们对自能嵌入理论(SEET)进行了详细讨论,这是一种量子嵌入方案,使我们能够非常精确地描述所选子系统,同时将环境描述保持在较低水平。我们将SEET应用于分子实例,其中我们所选的子系统由一组强关联轨道组成,而弱关联轨道构成环境。因此,使用高精度方法计算系统的自能,而采用低水平方法求环境的自能。这种自能分离非常普遍,为使SEET程序适用于多个系统,需要一个详细且实用的程序来评估系统和环境的自能。我们列出了其中一种可能程序的所有复杂之处,同时将讨论重点放在许多实际实现方面,如最佳轨道基的选择、杂质求解器以及达到化学精度所需的许多步骤。最后,在一组精心挑选的分子实例上,我们证明SEET作为一种可控的、可系统改进的格林函数方法,可以与成熟的波函数量子化学方法一样精确。