Machine-learned phase diagrams of generalized Kitaev honeycomb magnets
We use a recently developed interpretable and unsupervised machine-learning method, the tensorial kernel support vector machine, to investigate the low-temperature classical phase diagram of a generalized Heisenberg-Kitaev-Γ (J-K-Γ) model on a honeycomb lattice. Aside from reproducing phases reporte...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Physical Society
2021-09-01
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| Colección: | Physical Review Research |
| Acceso en línea: | http://doi.org/10.1103/PhysRevResearch.3.033223 |
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