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A polynomial Ansatz for norm-conserving pseudopotentials.

Martin Kiffner1,2, Dieter Jaksch1,2, Davide Ceresoli3

  • 1Centre for Quantum Technologies, National University of Singapore, 3 Science Drive 2, 117543, Singapore.

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|May 30, 2018
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Summary
This summary is machine-generated.

Researchers developed a new, efficient norm-conserving pseudopotential for electronic structure calculations using a polynomial Ansatz. This method offers faster convergence for energy derivatives compared to the standard Troullier-Martins approach.

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Area of Science:

  • Computational Physics
  • Materials Science
  • Quantum Chemistry

Background:

  • Norm-conserving pseudopotentials are crucial for efficient electronic structure calculations.
  • The Troullier-Martins (TM) method uses high-degree polynomials for pseudopotential generation.
  • Faster convergence in calculations can significantly reduce computational cost.

Purpose of the Study:

  • To introduce a novel, efficient norm-conserving pseudopotential derived from a polynomial Ansatz.
  • To compare the performance of the new pseudopotential against the established Troullier-Martins method.
  • To assess the impact on the convergence of total energy derivatives.

Main Methods:

  • A polynomial Ansatz of degree ten was used to construct the norm-conserving pseudopotential.
  • The new pseudopotential was tested in electronic structure calculations for diamond and iron (bcc).
  • Comparison with the Troullier-Martins method, which uses a degree twenty-two polynomial.

Main Results:

  • The new pseudopotential method performs comparably to the TM approach for total energy calculations.
  • First and second derivatives of total energy converge significantly faster with the plane wave cutoff.
  • This faster convergence was observed when replacing standard TM potentials with the proposed pseudopotentials.

Conclusions:

  • The developed polynomial Ansatz pseudopotential provides an efficient alternative for electronic structure calculations.
  • The method demonstrates superior convergence rates for energy derivatives, enhancing computational efficiency.
  • This advancement can lead to more streamlined and cost-effective materials simulations.