# Machine learning techniques to construct detailed phase diagrams for skyrmion systems

@article{GmezAlbarracn2022MachineLT, title={Machine learning techniques to construct detailed phase diagrams for skyrmion systems}, author={F. A. G{\'o}mez Albarrac{\'i}n and H. D. Rosales}, journal={Physical Review B}, year={2022} }

Recently, there has been an increased interest in the application of machine learning (ML) techniques to a variety of problems in condensed matter physics. In this regard, of particular signiﬁcance is the characterization of simple and complex phases of matter. Here, we use a ML approach to construct the full phase diagram of a well known spin model combining ferromagnetic exchange and Dzyaloshinskii-Moriya (DM) interactions where topological phases emerge. At low temperatures, the system is…

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Identifying (anti-)skyrmions while they form

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