## Abstract

We present an approach to compute electronic steady state properties

of strongly correlated quantum systems out of equilibrium

within dynamical mean-field theory (DMFT).

Specifically, the DMFT impurity solver is based upon the exact

solution of an auxiliary system consisting of a small number of bath

sites coupled to the interacting impurity and to two Markovian

reservoirs.

The steady state Green's function of the auxiliary system is

obtained via a biconjugate Lanczos diagonalisation of the corresponding many-body

non-Hermitian Lindblad equation.

The approach can be regarded as the non-equilibrium extension

of the exact-diagonalization based DMFT, and introduces appropriate

absorbing boundary conditions for a many-body system.

Results are also presented for the Anderson

impurity model under a finite bias voltage, and the behavior of

the Kondo peak as function of voltage is discussed.

of strongly correlated quantum systems out of equilibrium

within dynamical mean-field theory (DMFT).

Specifically, the DMFT impurity solver is based upon the exact

solution of an auxiliary system consisting of a small number of bath

sites coupled to the interacting impurity and to two Markovian

reservoirs.

The steady state Green's function of the auxiliary system is

obtained via a biconjugate Lanczos diagonalisation of the corresponding many-body

non-Hermitian Lindblad equation.

The approach can be regarded as the non-equilibrium extension

of the exact-diagonalization based DMFT, and introduces appropriate

absorbing boundary conditions for a many-body system.

Results are also presented for the Anderson

impurity model under a finite bias voltage, and the behavior of

the Kondo peak as function of voltage is discussed.

Original language | English |
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Number of pages | 1 |

Publication status | Published - 23 Sept 2013 |

Event | Korrelationstage 2013 - Duration: 27 Sept 2013 → … |

### Conference

Conference | Korrelationstage 2013 |
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Period | 27/09/13 → … |

## Fields of Expertise

- Advanced Materials Science