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Artificial spin ices (ASIs) are designable arrays of interacting nanomagnetsthat span a wide range of magnetic phases associated with a number of spinlattice models. Here, we demonstrate that the phase of an artificial kagomespin ice can be determined from its initial magnetization curve. As a proof ofconcept, micromagnetic simulations of these curves were performed starting fromrepresentative microstates of different phases of the system. We show that thecurves are characterized by phase-specific features in such a way that apattern recognition algorithm predicts the phase of the initial microstate withgood reliability. This achievement represents a new strategy to identify phasesin ASIs, easier and more accessible than magnetic imaging techniques normallyused for this task.

Artificial kagome spin ice magnetic phase recognition from the initial magnetization curve