Department of Chemistry, University of California, Berkeley, California 94720, United States.
Department of Physics, University of Michigan, Ann Arbor, Michigan 48109, United States.
J Phys Chem Lett. 2023 Mar 9;14(9):2416-2424. doi: 10.1021/acs.jpclett.2c03616. Epub 2023 Mar 1.
Embedding theories became important approaches used for accurate calculations of both molecules and solids. In these theories, a small chosen subset of orbitals is treated with an accurate method, called an impurity solver, capable of describing higher correlation effects. Ideally, such a chosen fragment should contain multiple orbitals responsible for the chemical and physical behavior of the compound. Handling a large number of chosen orbitals presents a very significant challenge for the current generation of solvers used in the physics and chemistry community. Here, we develop a Green's function coupled cluster singles doubles and triples (GFCCSDT) solver that can be used for a quantitative description in both molecules and solids. This solver allows us to treat orbital spaces that are inaccessible to other accurate solvers. At the same time, GFCCSDT maintains high accuracy of the resulting self-energy. Moreover, in conjunction with the GFCCSD solver, it allows us to test the systematic convergence of computational studies. Developing the CC family of solvers paves the road to fully systematic Green's function embedding calculations in solids. In this paper, we focus on the investigation of GFCCSDT self-energies for a strongly correlated problem of SrMnO solid. Subsequently, we apply this solver to solid MnO showing that an approximate variant of GFCCSDT is capable of yielding a high accuracy orbital resolved spectral function.
嵌入理论成为用于精确计算分子和固体的重要方法。在这些理论中,一小部分选定的轨道采用一种称为杂质求解器的精确方法进行处理,该方法能够描述更高的相关效应。理想情况下,这样一个选定的片段应该包含多个负责化合物化学和物理行为的轨道。处理大量选定的轨道对于物理和化学界当前使用的求解器来说是一个非常重大的挑战。在这里,我们开发了一种格林函数耦合簇单双三激发(GFCCSDT)求解器,可用于分子和固体的定量描述。该求解器允许我们处理其他精确求解器无法处理的轨道空间。同时,GFCCSDT 保持了自能的高精度。此外,与 GFCCSD 求解器结合使用,它允许我们测试计算研究的系统收敛性。开发 CC 系列求解器为在固体中进行完全系统的格林函数嵌入计算铺平了道路。在本文中,我们专注于研究 SrMnO 固体中强关联问题的 GFCCSDT 自能。随后,我们将该求解器应用于 MnO 固体,结果表明 GFCCSDT 的近似变体能够产生高精度的轨道分辨光谱函数。