Bath parameterization in multi-band cluster Dynamical Mean-Field Theory
Diego Florez-Ablan, Carlos Mejuto-Zaera, Massimo Capone

TL;DR
This paper investigates how bath discretization and parameterization affect cluster DMFT calculations for Hubbard models, emphasizing the importance of systematic convergence checks and analyzing the Mott transition in single- and multi-orbital systems.
Contribution
It provides the first systematic zero-temperature analysis of two-orbital models with bath parameterization effects in cluster DMFT, highlighting the impact on Mott transition properties.
Findings
Weak parameterization dependence for large baths in single-band models
Small baths show significant parameterization effects and potential nematic solutions
Quantitative differences in critical interaction values for the Mott transition in multi-orbital models
Abstract
Accurate and reliable algorithms to solve complex impurity problems are instrumental to a routine use of quantum embedding methods for material discovery. In this context, we employ an efficient selected configuration interaction impurity solver to investigate the role of bath discretization, specifically, bath size and parameterization, in Hamiltonian-based cluster dynamical mean field theory (CDMFT) for the one- and two-orbital Hubbard models. We consider two- and four-site clusters for the single-orbital model and a two-site cluster for the two-orbital model. Our results demonstrate that, for small bath sizes, the choice of parameterization can significantly influence the solution, highlighting the importance of systematic convergence checks. Comparing different bath parameterizations not only reveals the robustness of a given solution but can also provide insights into the nature of…
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Taxonomy
TopicsCold Atom Physics and Bose-Einstein Condensates · Theoretical and Computational Physics
