Effective bias and potentials in steady-state quantum transport : A NEGF reverse-engineering study

Abstract
Using non-equilibrium Green’s functions combined with many-body perturbation theory, we have calculated steady-state densities and currents through short interacting chains subject to a finite electric bias. By using a steady-state reverse-engineering procedure, the effective potential and bias which reproduce such densities and currents in a non-interacting system have been determined. The role of the effective bias is characterised with the aid of the so-called exchange-correlation bias, recently introduced in a steady-state density-functionaltheory formulation for partitioned systems. We find that the effective bias (or, equivalently, the exchange-correlation bias) depends strongly on the interaction strength and the length of the central (chain) region. Moreover, it is rather sensitive to the level of many-body approximation used. Our study shows the importance of the effective/exchange-correlation bias out of equilibrium, thereby offering hints on how to improve the description of densityfunctional-theory based approaches to quantum transport.
Main Authors
Format
Conferences Conference paper
Published
2016
Series
Subjects
Publication in research information system
Publisher
Institute of Physics Publishing Ltd.
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201608013707Use this for linking
Review status
Peer reviewed
ISSN
1742-6588
DOI
https://doi.org/10.1088/1742-6596/696/1/012018
Conference
Progress in Non-equilibrium Green's Functions
Language
English
Published in
Journal of Physics: Conference Series
Is part of publication
Progress in Non-equilibrium Green’s Functions (PNGF VI)
Citation
  • Karlsson, D., & Verdozzi, C. (2016). Effective bias and potentials in steady-state quantum transport : A NEGF reverse-engineering study. In Progress in Non-equilibrium Green’s Functions (PNGF VI) (Article 012018). Institute of Physics Publishing Ltd.. Journal of Physics: Conference Series, 696. https://doi.org/10.1088/1742-6596/696/1/012018
License
CC BY 3.0Open Access
Copyright© Published under licence by IOP Publishing Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) licence.

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