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Two-dimensional mutually synchronized spin Hall nano-oscillator arrays for neuromorphic computing

Journal article
Authors Mohammad Zahedinejad
Ahmad Awad
Shreyas Muralidhar
Roman Khymyn
Himanshu Fulara
Hamid Mazaraati
Mykola Dvornik
Johan Åkerman
Published in Nature Nanotechnology
Volume 15
Pages 47-52
ISSN 1748-3387
Publication year 2020
Published at Department of Physics (GU)
Pages 47-52
Language en
Links https://doi.org/10.1038/s41565-019-...
Subject categories Magnetism, Condensed Matter Physics, Materials Engineering, Electrical Engineering, Electronic Engineering, Information Engineering

Abstract

In spin Hall nano-oscillators (SHNOs), pure spin currents drive local regions of magnetic films and nanostructures into auto-oscillating precession. If such regions are placed in close proximity to each other they can interact and may mutually synchronize. Here, we demonstrate robust mutual synchronization of two-dimensional SHNO arrays ranging from 2 × 2 to 8 × 8 nano-constrictions, observed both electrically and using micro-Brillouin light scattering microscopy. On short time scales, where the auto-oscillation linewidth Δ f is governed by white noise, the signal quality factor, Q= f∕ Δ f, increases linearly with the number of mutually synchronized nano-constrictions (N), reaching 170,000 in the largest arrays. We also show that SHNO arrays exposed to two independently tuned microwave frequencies exhibit the same synchronization maps as can be used for neuromorphic vowel recognition. Our demonstrations may hence enable the use of SHNO arrays in two-dimensional oscillator networks for high-quality microwave signal generation and ultra-fast neuromorphic computing. © 2019, The Author(s), under exclusive licence to Springer Nature Limited.

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