Unsupervised identification of topological order using predictive models

Eliska Greplova, Agnes Valenti, Gregor Boschung +3

Machine-learning driven models have proven to be powerful tools for the identification of phases of matter. In particular, unsupervised methods hold the promise to help discover ne…