Perspective on nonvolatile magnon-signal storage and in-memory computation for low-power consuming magnonics
Abstract
Magnons are the quanta of spin waves and transport angular momenta through magnetically ordered materials. They can be used to distribute and control on-chip GHz signals without charge flow, thereby avoiding Joule heating. Beyond multiplexed signal processing, filtering, and Boolean logic, they allow for hardware implementation of neural networks exploiting cascaded magnon scattering on the nanoscale. A game-changing boost is expected if nonvolatile magnon-signal storage and in-memory computation schemes become realistic. We outline recent progress in experimental research and micromagnetic modeling toward these goals before sketching remaining challenges.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (5)
A. Nizet
École Polytechnique Fédérale de Lausanne (EPFL), School of Engineering, Institute of Materials, Laboratory of Nanoscale Magnetic Materials and Magnonics 1 , 1015 Lausanne,
M. Xu
S. S. Joglekar
École Polytechnique Fédérale de Lausanne (EPFL), School of Engineering, Institute of Materials, Laboratory of Nanoscale Magnetic Materials and Magnonics 1 , 1015 Lausanne,
A. Mucchietto
École Polytechnique Fédérale de Lausanne (EPFL), School of Engineering, Institute of Materials, Laboratory of Nanoscale Magnetic Materials and Magnonics 1 , 1015 Lausanne,
D. Grundler
École Polytechnique Fédérale de Lausanne (EPFL), School of Engineering, Institute of Materials, Laboratory of Nanoscale Magnetic Materials and Magnonics 1 , 1015 Lausanne,