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Shell DFT-1/2 method towards engineering accuracy for semiconductors: GGA versus LDA

Authors :
Hanli Cui
Shengxin Yang
Jun-Hui Yuan
Li-Heng Li
Fan Ye
Jinhai Huang
Kan-Hao Xue
Xiangshui Miao
Source :
Computational Materials Science. 213:111669
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

The Kohn-Sham gaps of density functional theory (DFT) obtained in terms of local density approximation (LDA) or generalized gradient approximation (GGA) cannot be directly linked to the fundamental gaps of semiconductors, but in engineering there is a strong demand to match them through certain rectification methods. Shell DFT-1/2 (shDFT-1/2), as a variant of DFT-1/2, is a potential candidate to yield much improved band gaps for covalent semiconductors, but its accuracy depends on the LDA/GGA ground state, including optimized lattice parameters, basic Kohn-Sham gap before self-energy correction and the amount of self-energy correction that is specific to the exchange-correlation (XC) functional. In this work, we test the LDA/GGA as well as shDFT-1/2 results of six technically important covalent semiconductors Si, Ge, GaN, GaP, GaAs and GaSb, with an additional ionic insulator LiF for comparison. The impact of XC flavor (LDA, PBEsol, PBE and RPBE), either directly on the gap value, or indirectly through the optimized lattice constant, is examined comprehensively. Moreover, we test the impact of XC flavor on LDA/GGA and shDFT-1/2 gaps under the condition of fixed experimental lattice constants. In-depth analysis reveals the rule of reaching the best accuracy in calculating the electronic band structures of typical covalent semiconductors. Relevant parameters like lattice constant, self-consistency in shDFT-1/2 runs, as well as the exchange enhancement factor of GGA, are discussed in details.<br />Comment: 23 pages, 10 figures

Details

ISSN :
09270256
Volume :
213
Database :
OpenAIRE
Journal :
Computational Materials Science
Accession number :
edsair.doi.dedup.....d2d4ff18492d246877f7040dc7acd2ce
Full Text :
https://doi.org/10.1016/j.commatsci.2022.111669