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Showing 1–5 of 5 results
Advanced filters: Author: Zuheng Wu Clear advanced filters

  • Bellman equation is widely applied in solving dynamic optimization problems. Here, the authors present a memristive Bellman solver reducing the computational complexity and improving energy efficiency for advanced decision-making process.

    • Zhe Feng
    • Zuheng Wu
    • Qi Liu
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11

  • Understanding the mechanism of the formation and rupture of conductive filaments in HfO2-based memristors is essential to solve the problem of scalability of the devices. Here, Zhang et al. visualize this process by tracking atomic-scale evolution of conductive filaments during resistive switching cycles.

    • Ying Zhang
    • Ge-Qi Mao
    • Ming Liu
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-10

  • Emerging in-memory computing using memristors promises better energy efficiency but often focuses on existing AI algorithms. Here, the authors report a distinct and computation-efficient AI algorithm based on memristor drift-diffusion kinetics for pattern classification, implemented on 180 nm memristor chips.

    • Tuo Shi
    • Lili Gao
    • Qi Liu
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-13

  • Self-organizing maps are data mining tools for unsupervised learning algorithms dealing with big data problems. The authors experimentally demonstrate a memristor-based self-organizing map that is more efficient in computing speed and energy consumption for data clustering, image processing and solving optimization problems.

    • Rui Wang
    • Tuo Shi
    • Ming Liu
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-10

  • Though artificial sensory systems based on electronic devices have been realized, further transformation of data into spikes is required for neural network optimization. Here, based on NbOx Mott memristors, the authors report artificial spiking afferent nerves for accessing spiking systems and demonstrate spiking mechanoreceptor systems.

    • Xumeng Zhang
    • Ye Zhuo
    • J. Joshua Yang
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-9