First-principles Green's-function method for surface calculations: A pseudopotential localized basis set approach

Søren Smidstrup, Daniele Stradi, Jess Wellendorff, Petr A. Khomyakov, Ulrik G. Vej-Hansen, Maeng-Eun Lee, Tushar Ghosh, Elvar Jónsson, Hannes Jónsson, and Kurt Stokbro
Phys. Rev. B 96, 195309 – Published 30 November 2017

Abstract

We present an efficient implementation of a surface Green's-function method for atomistic modeling of surfaces within the framework of density functional theory using a pseudopotential localized basis set approach. In this method, the system is described as a truly semi-infinite solid with a surface region coupled to an electron reservoir, thereby overcoming several fundamental drawbacks of the traditional slab approach. The versatility of the method is demonstrated with several applications to surface physics and chemistry problems that are inherently difficult to address properly with the slab method, including metal work function calculations, band alignment in thin-film semiconductor heterostructures, surface states in metals and topological insulators, and surfaces in external electrical fields. Results obtained with the surface Green's-function method are compared to experimental measurements and slab calculations to demonstrate the accuracy of the approach.

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  • Received 11 July 2017
  • Revised 11 October 2017

DOI:https://doi.org/10.1103/PhysRevB.96.195309

©2017 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Søren Smidstrup1,2, Daniele Stradi1,*, Jess Wellendorff1, Petr A. Khomyakov1, Ulrik G. Vej-Hansen1, Maeng-Eun Lee1, Tushar Ghosh3, Elvar Jónsson2,3, Hannes Jónsson2,3, and Kurt Stokbro1

  • 1Synopsys QuantumWise, Fruebjergvej 3, DK-2100 Copenhagen, Denmark
  • 2Faculty of Physical Sciences, University of Iceland VR-III, 107 Reykjavík, Iceland
  • 3Department of Applied Physics, Aalto University, FI-00076 Espoo, Finland

  • *stradi@synopsys.com

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Issue

Vol. 96, Iss. 19 — 15 November 2017

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