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Density functional Bogoliubov-de Gennes theory for superconductors implemented in the SIESTA code

Authors: R. Reho; N. Wittemeier; A. H. Kole; P. Ordejón; Z. Zanolli;

Density functional Bogoliubov-de Gennes theory for superconductors implemented in the SIESTA code

Abstract

We present SIESTA-BdG, an implementation of the simultaneous solution of the Bogoliubov-de Gennes (BdG) and density functional theory (DFT) problem in SIESTA, a first-principles method and code for material simulations which uses pseudopotentials and a localized basis set. This unified approach describes both conventional and unconventional superconducting states, and enables a description of inhomogeneous superconductors and heterostructures. We demonstrate the validity, accuracy, and efficiency of SIESTA-BdG by computing physically relevant quantities (superconducting charge density, band structure, superconducting gap features, density of states) for conventional singlet (Nb, Pb) and unconventional (FeSe) superconductors. We find excellent agreement with experiments and results obtained within the KKR-BdG computational framework. SIESTA-BdG forms the basis for modeling quantum transport in superconducting devices and including—in an approximate fashion—the superconducting DFT potential of Oliveira, Gross, and Kohn. Published by the American Physical Society 2024

Keywords

Superconductivity (cond-mat.supr-con), Condensed Matter - Superconductivity, FOS: Physical sciences, SDG 7 - Affordable and Clean Energy, SDG 11 - Sustainable Cities and Communities

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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