2011
DOI: 10.1088/0953-8984/24/5/053201
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Temperature and bath size in exact diagonalization dynamical mean field theory

Abstract: Dynamical mean field theory (DMFT), combined with finite-temperature exact diagonalization, is one of the methods used to describe electronic properties of strongly correlated materials. Because of the rapid growth of the Hilbert space, the size of the finite bath used to represent the infinite lattice is severely limited. In view of the increasing interest in the effect of multi-orbital and multi-site Coulomb correlations in transition metal oxides, high-T(c) cuprates, iron-based pnictides, organic crystals, … Show more

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Cited by 109 publications
(138 citation statements)
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“…We then apply the standard finite-T ED algorithm of Ref. 62, with gradually increasing the temperature from T = 0. In the algorithm, we optimize the bath parameters at each temperature by minimizing the distance function, ).…”
Section: Methodsmentioning
confidence: 99%
“…We then apply the standard finite-T ED algorithm of Ref. 62, with gradually increasing the temperature from T = 0. In the algorithm, we optimize the bath parameters at each temperature by minimizing the distance function, ).…”
Section: Methodsmentioning
confidence: 99%
“…23. Here, we employ the Lanzcos algorithm to solve the local Green's function, and the bath parameters for the finite-size system are obtained by minimizing the following function 30 :…”
Section: Pacs Numbersmentioning
confidence: 99%
“…The presence of a spin liquid phase has been supported by other works [3][4][5] using quantum cluster methods [6], such as the Variational Cluster Approximation (VCA) [7,8], the Cluster Dynamical Impurity Approximation (CDIA) [8,9] and Cluster Dynamical Mean Field Theory (CDMFT) [10][11][12][13]. Quantum cluster methods have been used extensively in the last decade to refine our understanding of the Mott-Hubbard transition and of competing orders (magnetism, superconductivity) in strongly correlated materials.…”
Section: Introductionmentioning
confidence: 98%