ArticleNature nanotechnology2022
Reconfigurable training and reservoir computing in an artificial spin-vortex ice via spin-wave fingerprinting.
Article in Nature nanotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed.
- Autonomous robotic operation controlled by wave-based neuromorphic hardware.Nature communications · 2026Article
- Magnetic Charge Fingerprints in the Spin-Wave Spectrum of Three-Dimensional Artificial Spin Ice.Nano letters · 2026Article
- Long-range structural and magnetic coherence in embedded mesospin metamaterials.Scientific reports · 2026Article
- Analog Control of Reconfigurable GHz Resonances from Chiral Spin Texture Ensembles.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Metrics for spin-based computing.Nature reviews. Physics · 2026Article
- Realizing Blume-Capel Degrees of Freedom with Toroidal Moments in a Ruby Artificial Spin Ice.ACS nano · 2026Article
- Electrodeposition of magnetic nanonetworks featuring triangular motifs and parallel ridges on a macroscopic scale.Nature communications · 2025Article
- Perpendicular-anisotropy artificial spin ice with spontaneous ordering: a platform for reservoir computing with flexible timescales.Communications engineering · 2025Article
- Noise-aware training of neuromorphic dynamic device networks.Nature communications · 2025Article
- Controllable gliders in a nanomagnetic metamaterial.Nature communications · 2025Article
- Self-assembled 3D Interconnected Magnetic Nanowire Networks for Neuromorphic Computing.ACS applied materials & interfaces · 2025Article
- Echo state property and memory capacity of artificial spin ice.Scientific reports · 2025Article
- Optical control of spin waves in hybrid magnonic-plasmonic structures.Science advances · 2025Article
- Harnessing spatiotemporal transformation in magnetic domains for nonvolatile physical reservoir computing.Science advances · 2025Article
- Iono-Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion-Gating.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Neuromorphic overparameterisation and few-shot learning in multilayer physical neural networks.Nature communications · 2024Article
- Emergent coherent modes in nonlinear magnonic waveguides detected at ultrahigh frequency resolution.Nature communications · 2024Article
- Toroidic phase transitions in a direct-kagome artificial spin ice.Nature nanotechnology · 2024Article
- Ultrastrong magnon-magnon coupling and chiral spin-texture control in a dipolar 3D multilayered artificial spin-vortex ice.Nature communications · 2024Article
- Clocked dynamics in artificial spin ice.Nature communications · 2024Article
Corrections and comments
- Commented on by
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
35513584What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.