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Smart local orbitals for efficient calculations within density functional theory and beyond.

G Gandus1, A Valli2, D Passerone1

  • 1Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland.

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|November 21, 2020
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Summary
This summary is machine-generated.

We introduce a method to reduce the size of basis sets in density functional theory (DFT) calculations. This approach enhances computational efficiency and simplifies the interpretation of results for electronic properties.

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Area of Science:

  • Computational Physics
  • Materials Science
  • Quantum Chemistry

Background:

  • Localized basis sets in projector augmented wave (PAW) formalism offer computational efficiency in density functional theory (DFT).
  • High accuracy in DFT calculations often necessitates extensive basis sets, complicating result interpretation.
  • A need exists for more interpretable and efficient basis sets in electronic structure calculations.

Purpose of the Study:

  • To develop a method for reducing the size of localized basis sets in DFT calculations.
  • To improve the interpretability of DFT results without sacrificing accuracy.
  • To enable efficient post-processing of electronic structure calculations.

Main Methods:

  • Subdiagonalization of atomic blocks of the Hamiltonian to obtain local orbitals (LOs).
  • Identification of a relevant subset of LOs that accurately describe physics near the Fermi level.
  • Demonstration of near block-diagonality in the LO basis.

Main Results:

  • A reduced, accurate basis set of local orbitals is obtained.
  • The Hamiltonian in the LO basis is shown to be nearly block-diagonal.
  • The method allows for efficient post-processing, including electron transport analysis and tight-binding Hamiltonian extraction.

Conclusions:

  • The presented method effectively reduces basis set redundancy in DFT calculations.
  • Accurate physical descriptions, especially around the Fermi level, are maintained with the reduced basis set.
  • This approach facilitates efficient and accurate post-processing of DFT results for materials simulations.