English

Ultrastrong magnon-magnon coupling and chiral spin-texture control in a dipolar 3D multilayered artificial spin-vortex ice

Mesoscale and Nanoscale Physics 2024-05-31 v3 Materials Science

Abstract

Strongly-interacting nanomagnetic arrays are ideal systems for exploring reconfigurable magnonics. They provide huge microstate spaces and integrated solutions for storage and neuromorphic computing alongside GHz functionality. These systems may be broadly assessed by their range of reliably accessible states and the strength of magnon coupling phenomena and nonlinearities. Increasingly, nanomagnetic systems are expanding into three-dimensional architectures. This has enhanced the range of available magnetic microstates and functional behaviours, but engineering control over 3D states and dynamics remains challenging. Here, we introduce a 3D magnonic metamaterial composed from multilayered artificial spin ice nanoarrays. Comprising two magnetic layers separated by a non-magnetic spacer, each nanoisland may assume four macrospin or vortex states per magnetic layer. This creates a system with a rich 16N16^N microstate space and intense static and dynamic dipolar magnetic coupling. The system exhibits a broad range of emergent phenomena driven by the strong inter-layer dipolar interaction, including ultrastrong magnon-magnon coupling with normalised coupling rates of Δωγ=0.57\frac{\Delta \omega}{\gamma} = 0.57, GHz mode shifts in zero applied field and chirality-selective magneto-toroidal microstate programming and corresponding magnonic spectral control.

Keywords

Cite

@article{arxiv.2306.16159,
  title  = {Ultrastrong magnon-magnon coupling and chiral spin-texture control in a dipolar 3D multilayered artificial spin-vortex ice},
  author = {Troy Dion and Kilian D. Stenning and Alex Vanstone and Holly H. Holder and Rawnak Sultana and Ghanem Alatteili and Victoria Martinez and Mojtaba Taghipour Kaffash and Takashi Kimura and Rupert Oulton and Hidekazu Kurebayashi and Will R. Branford and Ezio Iacocca and Benjamin M. Jungfleisch and Jack C. Gartside},
  journal= {arXiv preprint arXiv:2306.16159},
  year   = {2024}
}