Published May 17, 2022
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Domain Wall Automotion in Three-Dimensional Magnetic Helical Interconnectors.

  • 1. Department of Physics, Cavendish Laboratory, University of Cambridge, JJ Thomson Ave, Cambridge CB3 0HE, United Kingdom.
  • 2. University of Cambridge
  • 3. Max Planck Institute for Chemical Physics of Solids, 01187 Dresden, Germany.
  • 4. SUPA, School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
  • 5. University of Glasgow
  • 6. Depto. Física, Universidad de Oviedo, 33007 Oviedo, Spain.
  • 7. ALBA Synchrotron Light Facility, 08290 Cerdanyola del Vallès, Spain.
  • 8. SOLEIL Synchrotron, L'ormes des Merisiers, Saint Aubin BP-48, 91192 Gif-Sur-Yvette Cedex, France.
  • 9. Faculty of Physics, University of Vienna, 1010 Vienna, Austria.
  • 10. University of Vienna
  • 11. Research Platform MMM Mathematics-Magnetism-Materials, University of Vienna, 1010 Vienna, Austria.
  • 12. Insituto de Nanociencia y Materiales de Aragón (INMA). CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain.
  • 13. Spanish National Research Council

Description

The fundamental limits currently faced by traditional computing devices necessitate the exploration of ways to store, compute, and transmit information going beyond the current CMOS-based technologies. Here, we propose a three-dimensional (3D) magnetic interconnector that exploits geometry-driven automotion of domain walls (DWs), for the transfer of magnetic information between functional magnetic planes. By combining state-of-the-art 3D nanoprinting and standard physical vapor deposition, we prototype 3D helical DW conduits. We observe the automotion of DWs by imaging their magnetic state under different field sequences using X-ray microscopy, observing a robust unidirectional motion of DWs from the bottom to the top of the spirals. From experiments and micromagnetic simulations, we determine that the large thickness gradients present in the structure are the main mechanism for 3D DW automotion. We obtain direct evidence of how this tailorable magnetic energy gradient is imprinted in the devices, and how it competes with pinning effects that are due to local changes in the energy landscape. Our work also predicts how this effect could lead to high DW velocities, reaching the Walker limit during automotion. This work demonstrates a possible mechanism for efficient transfer of magnetic information in three dimensions.
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