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Natural virtual orbitals for the GW method in the random-phase approximation and beyond.

Laurenz Monzel1, Christof Holzer2, Wim Klopper1

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Correlated natural virtual orbitals (NVOs) significantly enhance the efficiency of the GW method for calculating molecular ionization energies. This approach offers substantial speedups with minimal accuracy loss, making it a more computationally feasible tool.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Theoretical Molecular Science

Background:

  • The GW method is increasingly utilized for determining vertical ionization energies in molecular systems.
  • High computational cost, particularly steep scaling with system size and basis set, limits the applicability of standard GW methods.

Purpose of the Study:

  • To implement and evaluate correlated natural virtual orbitals (NVOs) for improving the efficiency of GW calculations.
  • To assess the accuracy and performance of truncated NVOs within various GW formalisms, including G0W0 and evGW0.
  • To provide improved reference data for the GW100 test set.

Main Methods:

  • Implementation of correlated NVOs based on second-order Møller-Plesset (MP2) perturbation theory.
  • Testing NVOs and truncated NVOs in GW quasiparticle calculations, including G0W0, evGW0, and vertex corrections.
  • Comparison of NVO-based GW results with coupled-cluster theory with singles, doubles, and noniterative triples [CCSD(T)] calculations.

Main Results:

  • Correlated NVOs considerably improve computational efficiency for larger molecular systems and basis sets.
  • Truncated NVOs achieve speedups of an order of magnitude with negligible loss in accuracy on the GW100 test set.
  • The impact of basis set choice on accuracy is significantly greater than the effect of NVO truncation.

Conclusions:

  • Correlated NVOs offer a computationally efficient alternative for GW calculations of vertical ionization energies.
  • Truncated NVOs provide a practical strategy to achieve significant speedups without compromising accuracy.
  • The NVO approach enables more accurate results at the same computational expense compared to standard methods.