Exploring Coupled Cluster Green's function as a method for treating system and environment in Green's function embedding methods
Avijit Shee, Chia-Nan Yeh, Dominika Zgid

TL;DR
This paper evaluates the coupled cluster Green's function (GFCC) method within the self-energy embedding theory framework, analyzing its effectiveness as an impurity solver for system and environment treatment, and exploring how impurity size affects accuracy.
Contribution
It demonstrates the limitations of GFCC as an impurity solver for larger problems and suggests increasing the solver's rank and using natural orbitals for improved accuracy.
Findings
GFCC performs well for small impurities.
Performance deteriorates with larger impurity sizes.
Natural orbitals outperform symmetrized atomic orbitals for total energy calculations.
Abstract
Within the self-energy embedding theory (SEET) framework, we study coupled cluster Green's function (GFCC) method in two different contexts: as a method to treat either the system or environment present in the embedding construction. Our study reveals that when GFCC is used to treat the environment we do not see improvement in total energies in comparison to the coupled cluster method itself. To rationalize this puzzling result, we analyze the performance of GFCC as an impurity solver with a series of transition metal oxides. These studies shed light on strength and weaknesses of such a solver and demonstrate that such a solver gives very accurate results when the size of the impurity is small. We investigate if it is possible to achieve a systematic accuracy of the embedding solution when we increase the size of the impurity problem. We found that in such a case, the performance of the…
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