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Updated: Jul 27, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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Construction of optimized tight-binding models usingab initioHamiltonian: application to monolayer 2H-transition

Sejoong Kim1,2

  • 1University of Science and Technology (UST), Gajeong-ro 217, Daejeon 34113, Republic of Korea.

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|June 5, 2023
PubMed
Summary
This summary is machine-generated.

Optimized tight-binding (TB) models improve upon ab initio TB models by reducing deviations in electronic band structures. This method accurately reproduces electronic properties and spin textures for materials like Janus transition metal dichalcogenides.

Keywords:
density functional theorytight-binding modeltransition metal dichalcogenides

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Area of Science:

  • Computational Materials Science
  • Condensed Matter Physics
  • Quantum Chemistry

Background:

  • Ab initio tight-binding (TB) models are crucial for electronic structure calculations.
  • Truncating full density functional theory (DFT) Hamiltonians can introduce quantitative errors.
  • Accurate TB models are needed for predicting material properties.

Purpose of the Study:

  • To develop an optimized tight-binding (TB) model based on atomic orbitals.
  • To improve the accuracy of ab initio TB models derived from DFT.
  • To precisely reproduce electronic and spin properties of materials.

Main Methods:

  • Optimization of TB models by retaining qualitative features of DFT Hamiltonians.
  • Truncation of DFT Hamiltonians at varying neighbor ranges (second to third neighbors).
  • Application to semiconducting and metallic Janus transition metal dichalcogenides monolayers (2H configuration).

Main Results:

  • Optimization significantly reduces quantitative deviations in band structures compared to full DFT.
  • The optimized TB model accurately reproduces local electronic properties like band edges and Fermi surfaces.
  • Inclusion of spin-orbit interactions in the optimized TB model replicates spin textures.

Conclusions:

  • The presented optimization procedure effectively enhances the accuracy of ab initio TB models.
  • This method provides a reliable approach for constructing fine-tuned TB models from DFT data.
  • The optimized TB models are suitable for studying diverse electronic and spin-related phenomena.