Computationally predicted energies and properties of defects in GaN

Abstract Recent developments in theoretical techniques have significantly improved the predictive power of density-functional-based calculations. In this review, we discuss how such advancements have enabled improved understanding of native point defects in GaN. We review the methodologies for the c...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: John L. Lyons, Chris G. Van de Walle
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
Materias:
Acceso en línea:https://doaj.org/article/657d76a596534112a515e6059bee56eb
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:657d76a596534112a515e6059bee56eb
record_format dspace
spelling oai:doaj.org-article:657d76a596534112a515e6059bee56eb2021-12-02T15:18:49ZComputationally predicted energies and properties of defects in GaN10.1038/s41524-017-0014-22057-3960https://doaj.org/article/657d76a596534112a515e6059bee56eb2017-03-01T00:00:00Zhttps://doi.org/10.1038/s41524-017-0014-2https://doaj.org/toc/2057-3960Abstract Recent developments in theoretical techniques have significantly improved the predictive power of density-functional-based calculations. In this review, we discuss how such advancements have enabled improved understanding of native point defects in GaN. We review the methodologies for the calculation of point defects, and discuss how techniques for overcoming the band-gap problem of density functional theory affect native defect calculations. In particular, we examine to what extent calculations performed with semilocal functionals (such as the generalized gradient approximation), combined with correction schemes, can produce accurate results. The properties of vacancy, interstitial, and antisite defects in GaN are described, as well as their interaction with common impurities. We also connect the first-principles results to experimental observations, and discuss how native defects and their complexes impact the performance of nitride devices. Overall, we find that lower-cost functionals, such as the generalized gradient approximation, combined with band-edge correction schemes can produce results that are qualitatively correct. However, important physics may be missed in some important cases, particularly for optical transitions and when carrier localization occurs.John L. LyonsChris G. Van de WalleNature PortfolioarticleMaterials of engineering and construction. Mechanics of materialsTA401-492Computer softwareQA76.75-76.765ENnpj Computational Materials, Vol 3, Iss 1, Pp 1-10 (2017)
institution DOAJ
collection DOAJ
language EN
topic Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
spellingShingle Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
John L. Lyons
Chris G. Van de Walle
Computationally predicted energies and properties of defects in GaN
description Abstract Recent developments in theoretical techniques have significantly improved the predictive power of density-functional-based calculations. In this review, we discuss how such advancements have enabled improved understanding of native point defects in GaN. We review the methodologies for the calculation of point defects, and discuss how techniques for overcoming the band-gap problem of density functional theory affect native defect calculations. In particular, we examine to what extent calculations performed with semilocal functionals (such as the generalized gradient approximation), combined with correction schemes, can produce accurate results. The properties of vacancy, interstitial, and antisite defects in GaN are described, as well as their interaction with common impurities. We also connect the first-principles results to experimental observations, and discuss how native defects and their complexes impact the performance of nitride devices. Overall, we find that lower-cost functionals, such as the generalized gradient approximation, combined with band-edge correction schemes can produce results that are qualitatively correct. However, important physics may be missed in some important cases, particularly for optical transitions and when carrier localization occurs.
format article
author John L. Lyons
Chris G. Van de Walle
author_facet John L. Lyons
Chris G. Van de Walle
author_sort John L. Lyons
title Computationally predicted energies and properties of defects in GaN
title_short Computationally predicted energies and properties of defects in GaN
title_full Computationally predicted energies and properties of defects in GaN
title_fullStr Computationally predicted energies and properties of defects in GaN
title_full_unstemmed Computationally predicted energies and properties of defects in GaN
title_sort computationally predicted energies and properties of defects in gan
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/657d76a596534112a515e6059bee56eb
work_keys_str_mv AT johnllyons computationallypredictedenergiesandpropertiesofdefectsingan
AT chrisgvandewalle computationallypredictedenergiesandpropertiesofdefectsingan
_version_ 1718387449051217920