Studying magnetic dynamics in artificial spin ices in the presence of topological defects

ORAL

Abstract

Artificial spin ices (ASIs) are composed of arrays of nanomagnets whose size and spacing can be used to tailor their magnetic interactions. This provides a method to construct artificial versions of spin ice systems that may be difficult to measure otherwise, and one can study effects such as magnetic order and dynamics in the presence of topological defects. Here, we use resonant x-ray scattering and x-ray photon correlation spectroscopy (XPCS) to study the magnetic fluctuations in ASIs containing topological defects with different charges Z (Z = 0, 1, 2, 3). Due to the non-equilibrium nature of the fluctuations, we use two-time correlations to understand the magnetization dynamics. We also obtained a real-space picture of the fluctuations using photoemission electron microcopy (PEEM) with x-ray magnetic circular dichroism. With XPCS and PEEM, we show that ASIs with Z = 0 or 2 are relatively stable, with fluctuations mainly occurring at the edges of the ASI. On the other hand, odd topological charges with Z = 1 or 3 lead to a frustrated magnetic system with fluctuations concentrated around a domain wall.

* This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Award Number DE-SC-0024346. This research used the 23-ID-1 (CSX) beamline of the National Synchrotron Light Source II, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Brookhaven National Laboratory under Contract No. DE-SC0012704. This research used resources of the Advanced Light Source, a U.S. DOE Office of Science User Facility under contract no. DE-AC02-05CH11231. This work was supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory under U.S. Department of Energy Contract No. DE-AC02-05CH11231.

Presenters

  • Margaret R McCarter

    Lawrence Berkeley National Laboratory

Authors

  • Margaret R McCarter

    Lawrence Berkeley National Laboratory

  • Justin S Woods

    University of Kentucky

  • Andi Barbour

    Brookhaven National Laboratory

  • Claudio Mazzoli

    Brookhaven National Laboratory

  • Rajesh V Chopdekar

    Lawrence Berkeley National Laboratory, Western Digital Corporation

  • Andreas Scholl

    Lawrence Berkeley National Laboratory

  • Mickey Demos

    University of Kentucky

  • Lance E DeLong

    University of Kentucky

  • Sujoy Roy

    Lawrence Berkeley National Lab

  • Todd Hastings

    University of Kentucky