Gartside, Jack C;
Stenning, Kilian D;
Vanstone, Alex;
Holder, Holly H;
Arroo, Daan M;
Dion, Troy;
Caravelli, Francesco;
... Branford, Will R; + view all
(2022)
Reconfigurable training and reservoir computing in an artificial spin-vortex ice via spin-wave fingerprinting.
Nature Nanotechnology
, 17
(5)
pp. 460-469.
10.1038/s41565-022-01091-7.
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Abstract
Strongly interacting artificial spin systems are moving beyond mimicking naturally occurring materials to emerge as versatile functional platforms, from reconfigurable magnonics to neuromorphic computing. Typically, artificial spin systems comprise nanomagnets with a single magnetization texture: collinear macrospins or chiral vortices. By tuning nanoarray dimensions we have achieved macrospin–vortex bistability and demonstrated a four-state metamaterial spin system, the ‘artificial spin-vortex ice’ (ASVI). ASVI can host Ising-like macrospins with strong ice-like vertex interactions and weakly coupled vortices with low stray dipolar field. Vortices and macrospins exhibit starkly differing spin-wave spectra with analogue mode amplitude control and mode frequency shifts of Δf = 3.8 GHz. The enhanced bitextural microstate space gives rise to emergent physical memory phenomena, with ratchet-like vortex injection and history-dependent non-linear fading memory when driven through global magnetic field cycles. We employed spin-wave microstate fingerprinting for rapid, scalable readout of vortex and macrospin populations, and leveraged this for spin-wave reservoir computation. ASVI performs non-linear mapping transformations of diverse input and target signals in addition to chaotic time-series forecasting.
| Type: | Article |
|---|---|
| Title: | Reconfigurable training and reservoir computing in an artificial spin-vortex ice via spin-wave fingerprinting |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s41565-022-01091-7 |
| Publisher version: | https://doi.org/10.1038/s41565-022-01091-7 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Electrical and electronic engineering, Energy efficiency, Magnetic devices, Magnetic properties and materials, Metamaterials |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > London Centre for Nanotechnology UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10149926 |
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