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  • Liu, Tian XiangWuhan University (author)

Speeding up tight binding calculations using zone-folding methods

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • Elsevier BV,2022

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:4f97d41c-ecfc-49bd-916b-40d50760efec
  • https://lup.lub.lu.se/record/4f97d41c-ecfc-49bd-916b-40d50760efecURI
  • https://doi.org/10.1016/j.commatsci.2022.111479DOI

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  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • 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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  • Pistol, Mats ErikLund University,Lunds universitet,NanoLund: Centre for Nanoscience,Annan verksamhet, LTH,Lunds Tekniska Högskola,Fasta tillståndets fysik,Fysiska institutionen,Institutioner vid LTH,Other operations, LTH,Faculty of Engineering, LTH,Solid State Physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)ftf-mpi (author)
  • Pryor, CraigUniversity of Iowa (author)
  • Mao, LiWuhan University (author)
  • Wuhan UniversityNanoLund: Centre for Nanoscience (creator_code:org_t)

Related titles

  • In:Computational Materials Science: Elsevier BV2110927-0256

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Liu, Tian Xiang
Pistol, Mats Eri ...
Pryor, Craig
Mao, Li
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NATURAL SCIENCES
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