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Towards fully automatized GW band structure calculations: What we can learn from 60.000 self-energy evaluations

Materials Science 2021-01-05 v2 Computational Physics

Abstract

We analyze a data set comprising 370 GW band structures composed of 61716 quasiparticle (QP) energies of two-dimensional (2D) materials spanning 14 crystal structures and 52 elements. The data results from PAW plane wave based one-shot G0_0W0_0@PBE calculations with full frequency integration. We investigate the distribution of key quantities like the QP self-energy corrections and renormalization factor ZZ and explore their dependence on chemical composition and magnetic state. The linear QP approximation is identified as a significant error source and propose schemes for controlling and drastically reducing this error at low computational cost. We analyze the reliability of the 1/NPW1/N_\text{PW} basis set extrapolation and find that is well-founded with narrow distributions of r2r^2 peaked very close to 1. Finally, we explore the validity of the scissors operator approximation concluding that it is generally not valid for reasonable error tolerances. Our work represents a step towards the development of automatized workflows for high-throughput G0_0W0_0 band structure calculations for solids.

Keywords

Cite

@article{arxiv.2009.00314,
  title  = {Towards fully automatized GW band structure calculations: What we can learn from 60.000 self-energy evaluations},
  author = {Asbjørn Rasmussen and Thorsten Deilmann and Kristian S. Thygesen},
  journal= {arXiv preprint arXiv:2009.00314},
  year   = {2021}
}

Comments

11 pages, 9 figures, 1 table