Benchmark for <i>Ab Initio</i> Prediction of Magnetic Structures Based on Cluster-Multipole Theory
説明
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 $\pm0.5\,��_\text{B}$. 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.
16 pages, 7 figures
収録刊行物
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- Physical Review X
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Physical Review X 11 (1), 2021-02-16
American Physical Society (APS)
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詳細情報 詳細情報について
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- CRID
- 1360572092768762752
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- ISSN
- 21603308
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
- OpenAIRE