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Efficient Calculations with Multisite Local Orbitals in a Large-Scale DFT Code CONQUEST.

Ayako Nakata1,2, David R Bowler3,4,5, Tsuyoshi Miyazaki2,3

  • 1International Center for Young Scientists (ICYS), National Institute for Materials Science (NIMS) , 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan.

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Summary
This summary is machine-generated.

This study introduces multisite local orbitals in density functional theory calculations for improved efficiency. The new methods enhance computational speed and accuracy for materials and biological systems.

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Area of Science:

  • Computational materials science
  • Quantum chemistry
  • Condensed matter physics

Background:

  • Large-scale density functional theory (DFT) calculations require efficient methods for representing electronic structure.
  • Traditional methods can be computationally expensive for large systems.
  • Local orbitals offer a potential solution for reducing computational cost.

Purpose of the Study:

  • To introduce and implement multisite local orbitals within the CONQUEST DFT code.
  • To enhance the efficiency and stability of calculating electronic properties.
  • To validate the accuracy of the new method for various material and biological systems.

Main Methods:

  • Development of multisite local orbitals using linear combinations of pseudoatomic orbitals.
  • Determination of multisite support functions via the localized filter diagonalization (LFD) method.
  • Introduction of double cutoff and smoothing methods to improve LFD efficiency and stability.
  • Construction of Hamiltonian and overlap matrices using sparse-matrix multiplications.

Main Results:

  • Accurate energetic and geometrical properties were obtained for bulk Si and Al.
  • Accurate band structures were calculated for bulk Si, Al, and DNA systems.
  • Demonstrated computational efficiency of the multisite local orbital method.
  • Confirmed the representability of both occupied and unoccupied band structures.

Conclusions:

  • Multisite local orbitals provide an accurate and computationally efficient approach for large-scale DFT.
  • The developed methods enhance the applicability of DFT to complex materials and biological systems.
  • This advancement facilitates more extensive investigations in computational materials science and quantum chemistry.