Article (Scientific journals)
Effective scheme to determine accurate defect formation energies and charge transition levels of point defects in semiconductors
Yao, Cang Lang; Li, Jian Chen; Gao, Wang et al.
2017In Physical Review. B, Solid State, 96, p. 245203
Peer reviewed
 

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Abstract :
[en] We propose an effective method to accurately determine the defect formation energy Ef and charge transition level ε of the point defects using exclusively cohesive energy Ecoh and the fundamental band gap Eg of pristine host materials. We find that Ef of the point defects can be effectively separated into geometric and electronic contributions with a functional form: Ef = χEcoh + λEg, where χ and λ are dictated by the geometric and electronic factors of the point defects (χ and λ are defect dependent). Such a linear combination of Ecoh and Eg reproduces Ef with an accuracy better than 5% for electronic structure methods ranging from hybrid densityfunctional theory (DFT) to many-body random-phase approximation (RPA) and experiments. Accordingly, ε is also determined by Ecoh/Eg and the defect geometric/electronic factors. The identified correlation is rather general for monovacancies and interstitials, which holds in a wide variety of semiconductors covering Si, Ge, phosphorenes, ZnO, GaAs, and InP, and enables one to obtain reliable values of Ef and ε of the point defects for RPA and experiments based on semilocal DFT calculations.
Disciplines :
Physics
Author, co-author :
Yao, Cang Lang
Li, Jian Chen
Gao, Wang
Tkatchenko, Alexandre ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Physics and Materials Science Research Unit
Jiang, Qing
External co-authors :
yes
Language :
English
Title :
Effective scheme to determine accurate defect formation energies and charge transition levels of point defects in semiconductors
Publication date :
December 2017
Journal title :
Physical Review. B, Solid State
ISSN :
0556-2805
Publisher :
American Physical Society
Volume :
96
Pages :
245203
Peer reviewed :
Peer reviewed
Focus Area :
Physics and Materials Science
Computational Sciences
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