Revealing the Phase Diagram of Kitaev Materials by Machine Learning: Cooperation and Competition between Spin Liquids

29 Apr 2020Ke LiuNicolas SadouneNihal RaoJonas GreitemannLode Pollet

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 classical honeycomb Kitaev-$\Gamma$ model in a magnetic field... (read more)

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