ArticleNature nanotechnology2020
Two-dimensional mutually synchronized spin Hall nano-oscillator arrays for neuromorphic computing.
Article in Nature nanotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 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
45 citing papers in PubMed.
- Towards neuromorphic neurotechnologies: integrating brain-inspired computing with brain-computer interfaces.npj biomedical innovations · 2026Review
- Enhanced spin-to-charge conversion in epitaxial LaNature communications · 2026Article
- Nanosecond phase ordering in ultra-large spin Hall nano-oscillator lattices for unconventional computing.Nature nanotechnology · 2026Article
- Bulk Spin-Orbit Torque-Driven Spin Hall Nano-Oscillators Using PtBi Alloys with Engineered Crystallinity.ACS applied materials & interfaces · 2026Article
- Magnonic spontaneous oscillation induced by parametric pumping.Nature communications · 2026Article
- Operando microscopy for neuromorphic hardware.Nature materials · 2026Review
- Modulation of Electromagnetic Damping and Charge-Spin Conversion in Pt/PyMaterials (Basel, Switzerland) · 2026Article
- An Atom-Precise Approach to Damp First-Order Phase Transitions and Its Implications for Neuromorphic Signal Processing.Journal of the American Chemical Society · 2026Article
- Leaky-Integrate-Fire Neuron via Synthetic Antiferromagnetic Coupling and Spin-Orbit Torque.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Metrics for spin-based computing.Nature reviews. Physics · 2026Article
- What is next for LLMs? Pushing the boundaries of next-gen AI computing hardware with photonic chips.Nanophotonics (Berlin, Germany) · 2025Review
- Standalone Integrated Magnonic Devices.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Article
- Self-assembled 3D Interconnected Magnetic Nanowire Networks for Neuromorphic Computing.ACS applied materials & interfaces · 2025Article
- Field-free spin hall oscillator based on giant magnetoresistance effect and its potential for electrical synchronization.Scientific reports · 2025Article
- Spin-wave-mediated mutual synchronization and phase tuning in spin Hall nano-oscillators.Nature physics · 2025Article
- Atomistic Origins of Conductance Switching in an ε-CuJournal of the American Chemical Society · 2024Article
- 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
- Pattern recognition using spiking antiferromagnetic neurons.Scientific reports · 2024Article
- Antiferromagnetic artificial neuron modeling of the withdrawal reflex.Journal of computational neuroscience · 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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 [Formula: see text] is governed by white noise, the signal quality factor, [Formula: see text], 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.
Identifiers
31873287What 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.