English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Consistent set of band parameters for the group-III nitrides AlN, GaN, and InN

MPS-Authors
/persons/resource/persons22010

Rinke,  Patrick
Theory, Fritz Haber Institute, Max Planck Society;

/persons/resource/persons22244

Winkelnkemper,  Momme
Theory, Fritz Haber Institute, Max Planck Society;

/persons/resource/persons22064

Scheffler,  Matthias
Theory, Fritz Haber Institute, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

0801.0421v1.pdf
(Preprint), 476KB

PRB-77-075202-2008.pdf
(Any fulltext), 370KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Rinke, P., Winkelnkemper, M., Qteish, A., Bimberg, D., Neugebauer, J., & Scheffler, M. (2008). Consistent set of band parameters for the group-III nitrides AlN, GaN, and InN. Physical Review B, 77(7): 075202. doi:10.1103/PhysRevB.77.075202.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-FD8E-F
Abstract
We have derived consistent sets of band parameters (band gaps, crystal field splittings, band-gap deformation
potentials, effective masses, and Luttinger and EP parameters) for AlN, GaN, and InN in the zinc-blende and wurtzite phases employing many-body perturbation theory in the G0W0 approximation. The G0W0 method has been combined with density-functional theory (DFT) calculations in the exact-exchange optimized effective potential approach to overcome the limitations of ocal-density or gradient-corrected DFT functionals. The band structures in the vicinity of the Γ point have been used to directly parametrize a 4 x4 k·p Hamiltonian to capture nonparabolicities in the conduction bands and the more complex valence-band structure of the wurtzite phases. We demonstrate that the band parameters derived in this fashion are in very good agreement with the available experimental data and provide reliable predictions for all parameters, which have not been determined experimentally so far.