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

2022/11/03 by Breno Malvezzi Cecchi, Nathan de la Cruz, Cecchi, Breno +5
Physics and Astronomy · #Advanced Condensed Matter Physics #FOS: Physical sciences #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Theoretical and Computational Physics

paper · pdf · doi:10.48550/arxiv.2211.01876

openalex publication_date 2022/11/03 · openalex created_date 2022/11/09 · openalex updated_date 2026/07/28

Abstract

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

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