ArticleNature communications2024
A CMOS-compatible oscillation-based VO
Article in Nature communications, 2024. 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
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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.
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Who cites it
15 citing papers in PubMed.
- NbOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Self-Oscillatory Neuron-like Devices for Unconventional Computing Applications.Chemical reviews · 2026Review
- Higher-order neuromorphic Ising machines-autoencoders and Fowler-Nordheim annealers are all you need for scalability.Nature communications · 2026Article
- Intrinsic annealing in a hybrid memristor-magnetic tunnel junction Ising machine.Nature communications · 2026Article
- Scalable Ising machine composed entirely of Si transistors.Science advances · 2026Article
- Multi-State Probabilistic Computing Using Floating-Body MOSFETs Based on the Potts Model for Solving Complex Combinatorial Optimization Problems.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Near field optical visualization of the nanoscale phase percolation dynamics of a VONature communications · 2026Article
- Article
- Organic Electrochemical Neurons: Nonlinear Tools for Complex Dynamics.ACS applied electronic materials · 2025Article
- Monolithic 3D Oscillatory Ising Machine Using Reconfigurable FeFET Routing for Large-Scalability and Low-Power Consumption.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- ON-OFF neuromorphic ISING machines using Fowler-Nordheim annealers.Nature communications · 2025Article
- Superior probabilistic computing using operationally stable probabilistic-bit constructed by a manganite nanowire.National science review · 2025Article
- Highly reproducible and CMOS-compatible VOScientific reports · 2024Article
- Editorial: Reviews and perspectives in neuromorphic engineering: novel neuromorphic computing approaches.Frontiers in neuroscience · 2024Article
- Computing with oscillators from theoretical underpinnings to applications and demonstrators.Npj unconventional computing · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Phase-encoded oscillating neural networks offer compelling advantages over metal-oxide-semiconductor-based technology for tackling complex optimization problems, with promising potential for ultralow power consumption and exceptionally rapid computational performance. In this work, we investigate the ability of these networks to solve optimization problems belonging to the nondeterministic polynomial time complexity class using nanoscale vanadium-dioxide-based oscillators integrated onto a Silicon platform. Specifically, we demonstrate how the dynamic behavior of coupled vanadium dioxide devices can effectively solve combinatorial optimization problems, including Graph Coloring, Max-cut, and Max-3SAT problems. The electrical mappings of these problems are derived from the equivalent Ising Hamiltonian formulation to design circuits with up to nine crossbar vanadium dioxide oscillators. Using sub-harmonic injection locking techniques, we binarize the solution space provided by the oscillators and demonstrate that graphs with high connection density (η > 0.4) converge more easily towards the optimal solution due to the small spectral radius of the problem's equivalent adjacency matrix. Our findings indicate that these systems achieve stability within 25 oscillation cycles and exhibit power efficiency and potential for scaling that surpasses available commercial options and other technologies under study. These results pave the way for accelerated parallel computing enabled by large-scale networks of interconnected oscillators.
Identifiers
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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.