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
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