A fast impurity solver based on equations of motion and decoupling

Abstract

In this paper a fast impurity solver is proposed for dynamical mean field theory (DMFT) based on a decoupling of the equations of motion for the impurity Greens function. The resulting integral equations are solved efficiently with a method based on genetic algorithms. The Hubbard and periodic Anderson models are studied with this impurity solver. The method describes the Mott metal insulator transition and works for a large range of parameters at finite temperature on the real frequency axis. This makes it useful for the exploration of real materials in the framework of LDA+DMFT.

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Cited by in corpus (10)

• Kondo screening of Andreev bound states in an N-QD-S system
• Projective Truncation Approximation for Equations of Motion of Two-Time Green's Functions
• State-of-the-art techniques for calculating spectral functions in models for correlated materials
• Equation of Motion Solutions to Hubbard Model retaining Kondo Effect
• Surface states influence in the conductance spectra of Co adsorbed on Cu(111)
• Zero temperature dynamics of the Hubbard model in infinite dimensions: A local moment approach
• Advanced multi-orbital impurity solver for dynamical mean field theory based on the equation of motion approach
• A Standard Basis Operator Equation of Motion Impurity Solver for Dynamical Mean Field Theory
• Investigation of on-site inter-orbital single electron hoppings in general multi-orbital systems
• Fast multi-orbital equation of motion impurity solver for dynamical mean field theory