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

Asbjørn Rasmussen*, Thorsten Deilmann, Kristian Sommer Thygesen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

6 Downloads (Pure)

Abstract

We analyze a data set comprising 370 GW band structures of two-dimensional (2D) materials covering 14 different crystal structures and 52 chemical elements. The band structures contain a total of 61716 quasiparticle (QP) energies obtained from plane-wave-based one-shot G0W0@PBE calculations with full frequency integration. We investigate the distribution of key quantities, like the QP self-energy corrections and QP weights, and explore their dependence on chemical composition and magnetic state. The linear QP approximation is identified as a significant error source and we propose schemes for controlling and drastically reducing this error at low computational cost. We analyze the reliability of the 1/N basis set extrapolation and find that is well-founded with a narrow distribution of coefficients of determination (r2) peaked very close to 1. Finally, we explore the accuracy of the scissors operator approximation and conclude that its validity is very limited. Our work represents a step towards the development of automatized workflows for high-throughput G0W0 band structure calculations for solids.
Original languageEnglish
Article number22
Journaln p j Computational Materials
Volume7
Number of pages9
ISSN2057-3960
DOIs
Publication statusPublished - 2021

Fingerprint

Dive into the research topics of 'Towards fully automated GW band structure calculations: What we can learn from 60.000 self-energy evaluations'. Together they form a unique fingerprint.

Cite this