Benchmark for Ab Initio Prediction of Magnetic Structures Based on Cluster-Multipole Theory
The cluster-multipole (CMP) expansion for magnetic structures provides a scheme to systematically generate candidate magnetic structures specifically including noncollinear magnetic configurations adapted to the crystal symmetry of a given material. A comparison with the experimental data collected...
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American Physical Society
2021
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oai:doaj.org-article:5db978c71c644153ae5615aa077070212021-12-02T13:32:52ZBenchmark for Ab Initio Prediction of Magnetic Structures Based on Cluster-Multipole Theory10.1103/PhysRevX.11.0110312160-3308https://doaj.org/article/5db978c71c644153ae5615aa077070212021-02-01T00:00:00Zhttp://doi.org/10.1103/PhysRevX.11.011031http://doi.org/10.1103/PhysRevX.11.011031https://doaj.org/toc/2160-3308The cluster-multipole (CMP) expansion for magnetic structures provides a scheme to systematically generate candidate magnetic structures specifically including noncollinear magnetic configurations adapted to the crystal symmetry of a given material. A comparison with the experimental data collected on MAGNDATA shows that the most stable magnetic configurations in nature are linear combinations of only few CMPs. Furthermore, a high-throughput calculation for all candidate magnetic structures is performed in the framework of spin-density functional theory (SDFT). We benchmark the predictive power of CMP+SDFT with 2935 calculations, which show that (i) the CMP expansion administers an exhaustive list of candidate magnetic structures, (ii) CMP+SDFT can narrow down the possible magnetic configurations to a handful of computed configurations, and (iii) SDFT reproduces the experimental magnetic configurations with an accuracy of ±0.5μ_{B}. For a subset the impact of on-site Coulomb repulsion U is investigated by means of 1545 CMP+SDFT+U calculations revealing no further improvement on the predictive power.M.-T. HuebschT. NomotoM.-T. SuzukiR. AritaAmerican Physical SocietyarticlePhysicsQC1-999ENPhysical Review X, Vol 11, Iss 1, p 011031 (2021) |
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Physics QC1-999 M.-T. Huebsch T. Nomoto M.-T. Suzuki R. Arita Benchmark for Ab Initio Prediction of Magnetic Structures Based on Cluster-Multipole Theory |
description |
The cluster-multipole (CMP) expansion for magnetic structures provides a scheme to systematically generate candidate magnetic structures specifically including noncollinear magnetic configurations adapted to the crystal symmetry of a given material. A comparison with the experimental data collected on MAGNDATA shows that the most stable magnetic configurations in nature are linear combinations of only few CMPs. Furthermore, a high-throughput calculation for all candidate magnetic structures is performed in the framework of spin-density functional theory (SDFT). We benchmark the predictive power of CMP+SDFT with 2935 calculations, which show that (i) the CMP expansion administers an exhaustive list of candidate magnetic structures, (ii) CMP+SDFT can narrow down the possible magnetic configurations to a handful of computed configurations, and (iii) SDFT reproduces the experimental magnetic configurations with an accuracy of ±0.5μ_{B}. For a subset the impact of on-site Coulomb repulsion U is investigated by means of 1545 CMP+SDFT+U calculations revealing no further improvement on the predictive power. |
format |
article |
author |
M.-T. Huebsch T. Nomoto M.-T. Suzuki R. Arita |
author_facet |
M.-T. Huebsch T. Nomoto M.-T. Suzuki R. Arita |
author_sort |
M.-T. Huebsch |
title |
Benchmark for Ab Initio Prediction of Magnetic Structures Based on Cluster-Multipole Theory |
title_short |
Benchmark for Ab Initio Prediction of Magnetic Structures Based on Cluster-Multipole Theory |
title_full |
Benchmark for Ab Initio Prediction of Magnetic Structures Based on Cluster-Multipole Theory |
title_fullStr |
Benchmark for Ab Initio Prediction of Magnetic Structures Based on Cluster-Multipole Theory |
title_full_unstemmed |
Benchmark for Ab Initio Prediction of Magnetic Structures Based on Cluster-Multipole Theory |
title_sort |
benchmark for ab initio prediction of magnetic structures based on cluster-multipole theory |
publisher |
American Physical Society |
publishDate |
2021 |
url |
https://doaj.org/article/5db978c71c644153ae5615aa07707021 |
work_keys_str_mv |
AT mthuebsch benchmarkforabinitiopredictionofmagneticstructuresbasedonclustermultipoletheory AT tnomoto benchmarkforabinitiopredictionofmagneticstructuresbasedonclustermultipoletheory AT mtsuzuki benchmarkforabinitiopredictionofmagneticstructuresbasedonclustermultipoletheory AT rarita benchmarkforabinitiopredictionofmagneticstructuresbasedonclustermultipoletheory |
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1718392853899509760 |