Kubo–Greenwood electrical conductivity formulation and implementation for projector augmented wave datasets
Affiliation
Department of Materials Science and Engineering, University of Arizona, TucsonIssue Date
2017-12Keywords
Electron transportKubo-Greenwood
Electrical conductivity
Kohn-Sham density functional theory
Plane wave
Projector augmented wave
Metadata
Show full item recordPublisher
ELSEVIER SCIENCE BVCitation
Kubo–Greenwood electrical conductivity formulation and implementation for projector augmented wave datasets 2017, 221:118 Computer Physics CommunicationsJournal
Computer Physics CommunicationsRights
© 2017 Elsevier B.V. All rights reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
As the foundation for a new computational implementation, we survey the calculation of the complex electrical conductivity tensor based on the Kubo-Greenwood (KG) formalism (Kubo, 1957; Greenwood, 1958), with emphasis on derivations and technical aspects pertinent to use of projector augmented wave datasets with plane wave basis sets (BIlichl, 1994). New analytical results and a full implementation of the KG approach in an open-source Fortran 90 post-processing code for use with Quantum Espresso (Giannozzi et al., 2009) are presented. Named KGEC ([K]ubo [G]reenwood [E]lectronic [C]onductivity), the code calculates the full complex conductivity tensor (not just the average trace). It supports use of either the original KG formula or the popular one approximated in terms of a Dirac delta function. It provides both Gaussian and Lorentzian representations of the Dirac delta function (though the Lorentzian is preferable on basic grounds). KGEC provides decomposition of the conductivity into intra- and inter band contributions as well as degenerate state contributions. It calculates the dc conductivity tensor directly. It is MPI parallelized over k-points, bands, and plane waves, with an option to recover the plane wave processes for their use in band parallelization as well. It is designed to provide rapid convergence with respect to k-point density. Examples of its use are given.Note
Pre-print submitted, no embargo.ISSN
00104655Version
Final accepted manuscriptSponsors
U.S. Dept. of Energy [DE-SC0002139]Additional Links
http://linkinghub.elsevier.com/retrieve/pii/S0010465517302539ae974a485f413a2113503eed53cd6c53
10.1016/j.cpc.2017.08.008