ArticleNature communications2023
Distinguishing artificial spin ice states using magnetoresistance effect for neuromorphic computing.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- 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
- 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
- External-stimuli-assisted photocatalysis for solar chemical conversion.Discover chemistry · 2026Review
- Electrodeposition of magnetic nanonetworks featuring triangular motifs and parallel ridges on a macroscopic scale.Nature communications · 2025Article
- Controllable gliders in a nanomagnetic metamaterial.Nature communications · 2025Article
- Echo state property and memory capacity of artificial spin ice.Scientific reports · 2025Article
- A self-learning magnetic Hopfield neural network with intrinsic gradient descent adaption.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Neuromorphic overparameterisation and few-shot learning in multilayer physical neural networks.Nature communications · 2024Article
- Toroidic phase transitions in a direct-kagome artificial spin ice.Nature nanotechnology · 2024Article
- Domain wall magnetic tunnel junction-based artificial synapses and neurons for all-spin neuromorphic hardware.Nature communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial spin ice (ASI) consisting patterned array of nano-magnets with frustrated dipolar interactions offers an excellent platform to study frustrated physics using direct imaging methods. Moreover, ASI often hosts a large number of nearly degenerated and non-volatile spin states that can be used for multi-bit data storage and neuromorphic computing. The realization of the device potential of ASI, however, critically relies on the capability of transport characterization of ASI, which has not been demonstrated so far. Using a tri-axial ASI system as the model system, we demonstrate that transport measurements can be used to distinguish the different spin states of the ASI system. Specifically, by fabricating a tri-layer structure consisting a permalloy base layer, a Cu spacer layer and the tri-axial ASI layer, we clearly resolve different spin states in the tri-axial ASI system using lateral transport measurements. We have further demonstrated that the tri-axial ASI system has all necessary required properties for reservoir computing, including rich spin configurations to store input signals, nonlinear response to input signals, and fading memory effect. The successful transport characterization of ASI opens up the prospect for novel device applications of ASI in multi-bit data storage and neuromorphic computing.
Identifiers
What 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.