Cargando…

Speeding up GW Calculations to Meet the Challenge of Large Scale Quasiparticle Predictions

Although the GW approximation is recognized as one of the most accurate theories for predicting materials excited states properties, scaling up conventional GW calculations for large systems remains a major challenge. We present a powerful and simple-to-implement method that can drastically accelera...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Weiwei, Xia, Weiyi, Gao, Xiang, Zhang, Peihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104980/
https://www.ncbi.nlm.nih.gov/pubmed/27833140
http://dx.doi.org/10.1038/srep36849
_version_ 1782466822061162496
author Gao, Weiwei
Xia, Weiyi
Gao, Xiang
Zhang, Peihong
author_facet Gao, Weiwei
Xia, Weiyi
Gao, Xiang
Zhang, Peihong
author_sort Gao, Weiwei
collection PubMed
description Although the GW approximation is recognized as one of the most accurate theories for predicting materials excited states properties, scaling up conventional GW calculations for large systems remains a major challenge. We present a powerful and simple-to-implement method that can drastically accelerate fully converged GW calculations for large systems, enabling fast and accurate quasiparticle calculations for complex materials systems. We demonstrate the performance of this new method by presenting the results for ZnO and MgO supercells. A speed-up factor of nearly two orders of magnitude is achieved for a system containing 256 atoms (1024 valence electrons) with a negligibly small numerical error of ±0.03 eV. Finally, we discuss the application of our method to the GW calculations for 2D materials.
format Online
Article
Text
id pubmed-5104980
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-51049802016-11-17 Speeding up GW Calculations to Meet the Challenge of Large Scale Quasiparticle Predictions Gao, Weiwei Xia, Weiyi Gao, Xiang Zhang, Peihong Sci Rep Article Although the GW approximation is recognized as one of the most accurate theories for predicting materials excited states properties, scaling up conventional GW calculations for large systems remains a major challenge. We present a powerful and simple-to-implement method that can drastically accelerate fully converged GW calculations for large systems, enabling fast and accurate quasiparticle calculations for complex materials systems. We demonstrate the performance of this new method by presenting the results for ZnO and MgO supercells. A speed-up factor of nearly two orders of magnitude is achieved for a system containing 256 atoms (1024 valence electrons) with a negligibly small numerical error of ±0.03 eV. Finally, we discuss the application of our method to the GW calculations for 2D materials. Nature Publishing Group 2016-11-11 /pmc/articles/PMC5104980/ /pubmed/27833140 http://dx.doi.org/10.1038/srep36849 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Gao, Weiwei
Xia, Weiyi
Gao, Xiang
Zhang, Peihong
Speeding up GW Calculations to Meet the Challenge of Large Scale Quasiparticle Predictions
title Speeding up GW Calculations to Meet the Challenge of Large Scale Quasiparticle Predictions
title_full Speeding up GW Calculations to Meet the Challenge of Large Scale Quasiparticle Predictions
title_fullStr Speeding up GW Calculations to Meet the Challenge of Large Scale Quasiparticle Predictions
title_full_unstemmed Speeding up GW Calculations to Meet the Challenge of Large Scale Quasiparticle Predictions
title_short Speeding up GW Calculations to Meet the Challenge of Large Scale Quasiparticle Predictions
title_sort speeding up gw calculations to meet the challenge of large scale quasiparticle predictions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104980/
https://www.ncbi.nlm.nih.gov/pubmed/27833140
http://dx.doi.org/10.1038/srep36849
work_keys_str_mv AT gaoweiwei speedingupgwcalculationstomeetthechallengeoflargescalequasiparticlepredictions
AT xiaweiyi speedingupgwcalculationstomeetthechallengeoflargescalequasiparticlepredictions
AT gaoxiang speedingupgwcalculationstomeetthechallengeoflargescalequasiparticlepredictions
AT zhangpeihong speedingupgwcalculationstomeetthechallengeoflargescalequasiparticlepredictions