期刊
COMPUTATIONAL MATERIALS SCIENCE
卷 211, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.commatsci.2022.111479
关键词
Brillouin zone-folding; Tight-binding; Semiconductors
资金
- NanoLund [91850207]
- special overseas pro-gram of Wuhan University [2017FFA0303402, 2020YFA0211303]
- National Natural Science Foundation of China
- National Key R&D Program of China
Tight binding models are commonly used in electronic structure calculations of nanostructures. In order to enhance computational efficiency, we propose a method that utilizes supercells, zone folding, and truncation of the Hamiltonians. Through experiments on a GaAs/AlAs quantum well, we find that this method significantly increases computational speed while only sacrificing a small measure of accuracy.
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.
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