Computational Materials Science2022,Vol.2116.DOI:10.1016/j.commatsci.2022.111479

Speeding up tight binding calculations using zone-folding methods

Liu, Tian-Xiang Pistol, Mats-Erik Pryor, Craig Mao, Li
Computational Materials Science2022,Vol.2116.DOI:10.1016/j.commatsci.2022.111479

Speeding up tight binding calculations using zone-folding methods

Liu, Tian-Xiang 1Pistol, Mats-Erik 2Pryor, Craig 3Mao, Li1
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作者信息

  • 1. Wuhan Univ
  • 2. Lund Univ
  • 3. Univ Iowa
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Abstract

Tight binding models are widely used in large scale electronic structure calculations of nanostructures. Their atomistic nature makes them flexible, but also means the computational cost increases rapidly with system size. The large number of calculations required to design nanostructures makes computational efficiency desirable. We have developed a method to increase computational speed while retaining most of its accuracy. The method is based on the use of supercells and zone folding combined with a truncation of the Hamiltonians to only include states close to the band-edges. We apply the method to model the band edge energies of a GaAs/AlAs quantum well grown along the [110]-directions with 3D and 2D periodic boundary conditions as well as the density of states and dielectric function of the quantum well. We typically find a speed-up of ten times with only a small loss of accuracy of the calculation result.

Key words

Brillouin zone-folding/Tight-binding/Semiconductors/PARAMETERS/SEMICONDUCTORS/SIMULATIONS/DIAMOND

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
参考文献量23
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