Revealing the phase diagram of Kitaev materials by machine learning: Cooperation and competition between spin liquids
Kitaev materials are promising materials for hosting quantum spin liquids and investigating the interplay of topological and symmetry-breaking phases. We use an unsupervised and interpretable machine-learning method, the tensorial-kernel support vector machine, to study the honeycomb Kitaev-Γ model...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Physical Society
2021-04-01
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| coleção: | Physical Review Research |
| Acesso em linha: | http://doi.org/10.1103/PhysRevResearch.3.023016 |
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