Towards fully automatized GW band structure calculations: What we can learn from 60.000 self-energy evaluations
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 GW@PBE calculations with full frequency integration. We investigate the distribution of key quantities like the QP self-energy corrections and renormalization factor 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 basis set extrapolation and find that is well-founded with narrow distributions of 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 GW 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