Global exploration of phase behavior in frustrated Ising models using unsupervised learning techniques

Danilo Rodrigues de Assis Elias, Enzo Granato, Maurice de Koning

We apply a set of machine-learning (ML) techniques for the global exploration of the phase diagrams of two frustrated 2D Ising models with competing interactions. Based on raw Mont…