Strongly-interacting artificial spin systems are moving beyond mimicking naturally-occuring materials to find roles as versatile functional platforms, from reconfigurable magnonics to designer magnetic metamaterials. Typically artificial spin systems comprise nanomagnets with a single magnetisation texture: collinear macrospins or chiral vortices. By tuning nanoarray dimensions we achieve macrospin/vortex bistability and demonstrate a four-state metamaterial spin-system 'Artificial Spin-Vortex Ice' (ASVI). ASVI is capable of adopting Ising-like macrospins with strong ice-like vertex interactions, in addition to weakly-coupled vortices with low stray dipolar-field. The enhanced bi-texture microstate space gives rise to emergent physical memory phenomena, with ratchet-like vortex training and history-dependent nonlinear training dynamics. We observe vortex-domain formation alongside MFM tip vortex-writing. Tip-written vortices dramatically alter local reversal and memory dynamics. Vortices and macrospins exhibit starkly-differing spin-wave spectra with analogue-style mode-amplitude control via vortextraining and mode-frequency shifts of ∆ f = 3.8 GHz. We leverage spin-wave 'spectral fingerprinting' for rapid, scaleable readout of vortex and macrospin populations over complex training-protocols with applicability for functional magnonics and physical memory.
Strongly-interacting artificial spin systems are moving beyond mimicking naturally-occurring materials to find roles as versatile functional platforms, from reconfigurable magnonics to designer magnetic metamaterials. Typically artificial spin systems comprise nanomagnets with a single magnetisation texture: collinear macrospins or chiral vortices. By tuning nanoarray dimensions we achieve macrospin/vortex bistability and demonstrate a four-state metamaterial spin-system ‘Artificial Spin-Vortex Ice’ (ASVI). ASVI is capable of adopting Ising-like macrospins with strong ice-like vertex interactions, in addition to weakly-coupled vortices with low stray dipolar-field. The enhanced bi-texture microstate space gives rise to emergent physical memory phenomena, with ratchet-like vortex training and history-dependent nonlinear training dynamics. We observe vortex-domain formation alongside MFM tip vortex-writing. Tip-written vortices dramatically alter local reversal and memory dynamics. Vortices and macrospins exhibit starkly-differing spin-wave spectra with analogue-style mode-amplitude control via vortex training and mode-frequency shifts of ∆f = 3.8 GHz. We leverage spin-wave ‘spectral fingerprinting’ for rapid, scaleable readout of vortex and macrospin populations over complex training-protocols with applicability for functional magnonics and physical memory.
All-optical magnetic switching 1-3 represents a next-generation class of local magnetisation control, with wide-ranging technological implications. 75% of all data is stored magnetically and the predominant current recording technology uses power-consuming magnetic fields with plasmonic focusing of laser heating for Heat Assisted Magnetic Recording (HAMR) 4,5 . Existing (field-free) all-optical switching schemes are unsuitable for device integration, typically requiring power-hungry femtosecond-pulsed lasers and complex magnetic materials. Here, we demonstrate deterministic, all-optical magnetic switching using a low-power, linearly-polarised continuous-wave laser in nanostructures with sub-diffraction limit dimensions composed of simple earth abundant ferromagnetic alloys (Ni 81 Fe 19 , Ni 50 Fe 50 ) and dielectrics. An interference effect dramatically enhances absorption in the nanomagnets, enabling high fidelity writing at powers as low as 2.74 mW. Isolated and densely-packed nanomagnets are switched across a range of dimensions, laser wavelengths and powers. All artificial spin ice 6-8 vertex configurations are written with high fidelity, including energetically and entropically unfavourable 'monopole-like' states inaccessible by thermalisation methods. No switching is observed in equivalent structures with pure Co magnets, suggesting multi-species interactions within the nanomagnet play a role. The results presented here usher in low-cost, low-power optically-controlled devices with impact across data storage, neuromorphic computation and reconfigurable magnonics.
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