Nonlinear dynamics in magnonic Fabry-P\'{e}rot resonators: Low-power neuron-like activation and transmission suppression
Anton Lutsenko, Kevin G. Fripp, Luk\'a\v{s} Flaj\v{s}man, Andrey V. Shytov, Volodymyr V. Kruglyak, Sebastiaan van Dijken

TL;DR
This paper demonstrates low-power nonlinear spin-wave dynamics in magnonic Fabry-Pérot resonators, enabling neuron-like activation and frequency-selective absorption, which are promising for neuromorphic magnonic computing.
Contribution
It introduces a novel low-power nonlinear magnonic resonator exhibiting neuron-like activation and tunable transmission properties.
Findings
Observation of power-dependent transmission gap shifts
Demonstration of neuron-like activation behavior
Frequency-selective nonlinear spin-wave absorption
Abstract
We report on nonlinear spin-wave dynamics in magnonic Fabry-P\'{e}rot resonators composed of yttrium iron garnet (YIG) films coupled to CoFeB nanostripes. Using super-Nyquist sampling magneto-optical Kerr effect microscopy and micromagnetic simulations, we observe a systematic downshift of the spin-wave transmission gaps as the excitation power increases. This nonlinear behavior occurs at low power levels, reduced by a strong spatial concentration of spin waves within the resonator. The resulting power-dependent transmission enables neuron-like activation behavior and frequency-selective nonlinear spin-wave absorption. Our results highlight magnonic Fabry-P\'{e}rot resonators as compact low-power nonlinear elements for neuromorphic magnonic computing architectures.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMagnetic properties of thin films · Mechanical and Optical Resonators · Neural Networks and Reservoir Computing
