75 citations · 231 across the 8 of their papers we have counts for
4 papers · 1 filter
The view of TK-SVM on the phase hierarchy in the classical kagome Heisenberg antiferromagnet
Jonas Greitemann, Ke Liu, Lode Pollet
We illustrate how the tensorial kernel support vector machine (TK-SVM) can probe the hidden multipolar orders and emergent local constraint in the classical kagome Heisenberg antif…
Revealing the Phase Diagram of Kitaev Materials by Machine Learning: Cooperation and Competition between Spin Liquids
Ke Liu, Nicolas Sadoune, Nihal Rao +2
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 in…
Identification of hidden order and emergent constraints in frustrated magnets using tensorial kernel methods
Jonas Greitemann, Ke Liu, Ludovic D. C. Jaubert +3
Machine-learning techniques have proved successful in identifying ordered phases of matter. However, it remains an open question how far they can contribute to the understanding of…
Finite-size effects in Luther-Emery phases of Holstein and Hubbard models
J. Greitemann, S. Hesselmann, S. Wessel +2
The one-dimensional Holstein model and its generalizations have been studied extensively to understand the effects of electron-phonon interaction. The half-filled case is of partic…