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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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 |
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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 |
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