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Shell DFT-1/2 method towards engineering accuracy for semiconductors: GGA versus LDA
- 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
- Subjects :
- Condensed Matter - Materials Science
Computational Mathematics
General Computer Science
Mechanics of Materials
Materials Science (cond-mat.mtrl-sci)
FOS: Physical sciences
General Physics and Astronomy
General Materials Science
General Chemistry
Computational Physics (physics.comp-ph)
Physics - Computational Physics
Subjects
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