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DFT-1/2 method applied to 3D topological insulators.

Tulio Mota1, Filipe Matusalem2, Marcelo Marques1

  • 1Grupo de Materiais Semicondutores e Nanotecnologia, Instituto Tecnológico de Aeronáutica, DCTA, 12228-900 São José dos Campos, Brazil.

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|September 6, 2022
PubMed
Summary

The DFT-1/2 method accurately calculates topological properties of 3D topological insulators like Bi2Se3. This efficient approach improves band gap and band structure predictions without increasing computational cost.

Keywords:
DFT-1/2quasiparticle energies.topological insulator

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Area of Science:

  • Condensed Matter Physics
  • Materials Science
  • Computational Chemistry

Background:

  • Topological insulators (TIs) are materials with unique electronic properties.
  • Accurate prediction of their band structure and topological invariants is crucial.
  • Standard DFT calculations often struggle with the band inversion region in TIs.

Purpose of the Study:

  • To apply and evaluate the DFT-1/2 method for calculating properties of five 3D topological insulators.
  • To compare DFT-1/2 results with standard DFT and experimental findings.
  • To assess the efficiency and accuracy of DFT-1/2 for topological materials.

Main Methods:

  • Density Functional Theory with a half-integer self-interaction correction (DFT-1/2).
  • Application to Bi2Se3, Bi2Te3, Sb2Te3, CuTlSe2, and CuTlS2.
  • Calculation of band gaps, band dispersion, and topological invariants (Z2).

Main Results:

  • DFT-1/2 provides accurate band gaps and band structures near the inversion region.
  • The method correctly predicts the atomic character of bands.
  • Topological invariants are reliably calculated, essential for characterizing TIs.
  • Results show significant improvements over standard DFT for these materials.

Conclusions:

  • DFT-1/2 is an efficient and accurate method for studying 3D topological insulators.
  • It offers precise predictions of electronic and topological properties.
  • The method is computationally cost-effective, suitable for complex systems.