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 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...

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Autores principales: Asbjørn Rasmussen, Thorsten Deilmann, Kristian S. Thygesen
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:0c25305a31744b2f8e06dc3db031591b2021-12-02T13:57:35ZTowards fully automatized GW band structure calculations: What we can learn from 60.000 self-energy evaluations10.1038/s41524-020-00480-72057-3960https://doaj.org/article/0c25305a31744b2f8e06dc3db031591b2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41524-020-00480-7https://doaj.org/toc/2057-3960Abstract 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 (r 2) 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.Asbjørn RasmussenThorsten DeilmannKristian S. ThygesenNature PortfolioarticleMaterials of engineering and construction. Mechanics of materialsTA401-492Computer softwareQA76.75-76.765ENnpj Computational Materials, Vol 7, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
spellingShingle Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
Asbjørn Rasmussen
Thorsten Deilmann
Kristian S. Thygesen
Towards fully automatized GW band structure calculations: What we can learn from 60.000 self-energy evaluations
description 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 (r 2) 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.
format article
author Asbjørn Rasmussen
Thorsten Deilmann
Kristian S. Thygesen
author_facet Asbjørn Rasmussen
Thorsten Deilmann
Kristian S. Thygesen
author_sort Asbjørn Rasmussen
title Towards fully automatized GW band structure calculations: What we can learn from 60.000 self-energy evaluations
title_short Towards fully automatized GW band structure calculations: What we can learn from 60.000 self-energy evaluations
title_full Towards fully automatized GW band structure calculations: What we can learn from 60.000 self-energy evaluations
title_fullStr Towards fully automatized GW band structure calculations: What we can learn from 60.000 self-energy evaluations
title_full_unstemmed Towards fully automatized GW band structure calculations: What we can learn from 60.000 self-energy evaluations
title_sort towards fully automatized gw band structure calculations: what we can learn from 60.000 self-energy evaluations
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/0c25305a31744b2f8e06dc3db031591b
work_keys_str_mv AT asbjørnrasmussen towardsfullyautomatizedgwbandstructurecalculationswhatwecanlearnfrom60000selfenergyevaluations
AT thorstendeilmann towardsfullyautomatizedgwbandstructurecalculationswhatwecanlearnfrom60000selfenergyevaluations
AT kristiansthygesen towardsfullyautomatizedgwbandstructurecalculationswhatwecanlearnfrom60000selfenergyevaluations
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