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Showing 1–6 of 6 results
Advanced filters: Author: Langlang Xu Clear advanced filters
  • Two types of signal folding—for input signals and for weight conductance—can be implemented in molybdenum disulfide-based one-transistor–one-resistor arrays to decrease power consumption and improve weight precision in vector–matrix multiplication.

    • Lei Tong
    • Langlang Xu
    • Lei Ye
    Research
    Nature Electronics
    P: 1-10
  • This study introduces a reconfigurable MoS2-based neuromorphic hardware that integrates synaptic, heterosynaptic, and somatic functionalities. It adapts to diverse tasks like medical image enhancement and smart perception, advancing flexible, general-purpose computing solutions.

    • Xinyu Huang
    • Lei Tong
    • Lei Ye
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-10
  • Nonlinear optical effects in 2D materials can be used for neuromorphic computing systems. Here, the authors introduced free-space optical computing within a bare MoS2 array. Neural network and digital processing were demonstrated, showing fast speed, low energy consumption, and high signal-to-noise ratio.

    • Lei Tong
    • Yali Bi
    • Lei Ye
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-9
  • Realizing complex functions in artificial visual systems is challenging. Here, the authors report a human visual pathway-replicated hardware with a split floating gate crossbar arrays and related peripheral circuits, achieving colour-blindness processing, shape recognition, and self-driven motion tracking.

    • Zhuiri Peng
    • Lei Tong
    • Lei Ye
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-9
  • An interfacial junction transistor that is made from molybdenum disulfide and graphene, and offers tunable output characteristics, can be used to create reconfigurable fuzzy logic hardware for edge computing.

    • Langlang Xu
    • Xinyu Huang
    • Lei Ye
    News & Views
    Nature Electronics
    Volume: 7, P: 850-851