Regensburg 2022 – wissenschaftliches Programm
KFM 30.8: Vortrag
Freitag, 9. September 2022, 11:15–11:30, H37
Development of a current solver for studying non-linear skyrmion dynamics — •Thorben Pürling1,2, Daniele Pinna3, Fabian Lux4, Jonathan Kipp1,3, Stefan Blügel1,3, Abigail Morrison2,5, and Yuriy Mokrousov3,4 — 1Department of Physics, RWTH Aachen University, Aachen, Germany — 2Institute of Neuroscience and Medicine 6 and Institute for Advanced Simulation 6 and JARA BRAIN Institute I, Jülich Research Centre, Jülich, Germany — 3Peter Grünberg Institute 1 and Institute for Advanced Simulation 1, Forschungszentrum Jülich and JARA, Jülich, Germany — 4Institute of Physics, Johannes Gutenberg University Mainz, Mainz, Germany — 5Computer Science 3 - Software Engineering, RWTH Aachen University, Aachen, Germany
Transport phenomena in skyrmionic textures have recently gained attention owing to possible applications in spintronics and in cognitive computing. While the reservoir computing aspect of skyrmions relies heavily on their nonlinear response properties, little is known about the real-space distribution of the current density that reflects the non-trivial structure of the local conductivity tensor of these complex objects. Here we report on the development of a method that provides the local current distribution for arbitrary spin textures under bias, and apply that method to study the current distribution of isolated skyrmions. We address the importance of diagonal and Hall components of the conductivity tensor for the current distribution and discuss possible relevance of our findings to reservoir computing applications.