From cluster to solid - the variational cluster approximation applied to NiO
arXiv:0707.3523 · doi:10.1103/PhysRevB.76.241103
Abstract
The variational cluster approximation is applied to the calculation of the single particle spectral function of NiO. Trial self energies and the numerical value of the Luttinger-Ward functional are obtained by exact diagonalization of NiO6-clusters and the single particle parameters of the clusters serve as variational parameters to obtain a stationary point of the grand potential of the lattice system. Good agreement with experiment is obtained.
Revtex, 4 pages, 2 eps-figures
References in corpus (11)
- Electronic Structure Calculations with Dynamical Mean-Field Theory: A Spectral Density Functional Approach
- Quantum Cluster Theories
- The spectral weight of the Hubbard model through cluster perturbation theory
- Self-energy-functional approach to systems of correlated electrons
- Variational cluster approach to correlated electron systems in low dimensions
- Self-energy-functional approach: Analytical results and the Mott-Hubbard transition
- Variational cluster approach to spontaneous symmetry breaking: The itinerant antiferromagnet in two dimensions
- NiO: Correlated Bandstructure of a Charge-Transfer Insulator
- Antiferromagnetic to superconducting phase transition in the hole- and electron-doped Hubbard model at zero temperature
- Local correlations and hole doping in NiO: a dynamical mean field study
- Single particle spectra of charge transfer insulators by cluster perturbation theory - the correlated band structure of NiO
Cited by in corpus (5)
- LDA+DMFT approach to core-level spectroscopy: application to 3d transition metal compounds
- Dynamical mean-field approach to materials with strong electronic correlations
- Spin state transition in LaCoO3 by variational cluster approximation
- Correlated band structure of NiO, CoO and MnO by variational cluster approximation
- Momentum-resolved single-particle spectral function for TiOCl from a combination of density functional and variational cluster calculations