ArticleScientific reports2017
A Nanotechnology-Ready Computing Scheme based on a Weakly Coupled Oscillator Network.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- A minimal-data approach for spatially resolved parameter analysis of coupled graphene nanomechanical resonators.Science advances · 2025Article
- A CMOS-compatible oscillation-based VONature communications · 2024Article
- Computing with oscillators from theoretical underpinnings to applications and demonstrators.Npj unconventional computing · 2024Review
- Coupled Nanomechanical Graphene Resonators: A Promising Platform for Scalable NEMS Networks.Micromachines · 2023Article
- The Role of Experimental Noise in a Hybrid Classical-Molecular Computer to Solve Combinatorial Optimization Problems.ACS central science · 2023Article
- Voltage-driven gigahertz frequency tuning of spin Hall nano-oscillators.Nature communications · 2022Article
- Electromagnetic wave-based extreme deep learning with nonlinear time-Floquet entanglement.Nature communications · 2022Article
- Using synchronized oscillators to compute the maximum independent set.Nature communications · 2020Article
- Distance Computation Based on Coupled Spin-Torque Oscillators: Application to Image Processing.Physical review applied · 2020Article
- Digital and analogue modulation and demodulation scheme using vortex-based spin torque nano-oscillators.Scientific reports · 2020Article
- Coherent Spin Pumping in a Strongly Coupled Magnon-Magnon Hybrid System.Physical review letters · 2020Article
- Neuromorphic Spintronics.Nature electronics · 2020Article
- Collective dynamics of strain-coupled nanomechanical pillar resonators.Nature communications · 2019Article
- Nanoscale true random bit generator based on magnetic state transitions in magnetic tunnel junctions.Scientific reports · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With conventional transistor technologies reaching their limits, alternative computing schemes based on novel technologies are currently gaining considerable interest. Notably, promising computing approaches have proposed to leverage the complex dynamics emerging in networks of coupled oscillators based on nanotechnologies. The physical implementation of such architectures remains a true challenge, however, as most proposed ideas are not robust to nanotechnology devices' non-idealities. In this work, we propose and investigate the implementation of an oscillator-based architecture, which can be used to carry out pattern recognition tasks, and which is tailored to the specificities of nanotechnologies. This scheme relies on a weak coupling between oscillators, and does not require a fine tuning of the coupling values. After evaluating its reliability under the severe constraints associated to nanotechnologies, we explore the scalability of such an architecture, suggesting its potential to realize pattern recognition tasks using limited resources. We show that it is robust to issues like noise, variability and oscillator non-linearity. Defining network optimization design rules, we show that nano-oscillator networks could be used for efficient cognitive processing.
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.