Machine learning #sciart


Here is a proposal we submitted for the cover of the Nature Electronics issue in which our recent paper appeared. It features a stylised representation of the different antiskyrmion trajectories used as inputs into the classification algorithm, based on machine learning, that we employed to generate the phase diagram in Fig. 2 of the paper. […]

Trochoidal dynamics and pair generation in skyrmion and antiskyrmion dynamics driven by spin-orbit torques


In a collaboration with colleagues at Johannes Gutenberg-Universit├Ąt Mainz, Uppsala Universitet, and Christian-Albrechts-Universit├Ąt zu Kiel, we have shown theoretically that skyrmions and antiskyrmions can behave very differently under spin-orbit torques. One key finding is that antiskyrmions can undergo trochoidal motion, which is analogous to Walker breakdown in domain wall dynamics. This threshold defines a speed […]