4.7 Article

Photoreduced nanocomposites of graphene oxide/N-doped carbon dots toward all-carbon memristive synapses

Journal

NPG ASIA MATERIALS
Volume 12, Issue 1, Pages -

Publisher

NATURE RESEARCH
DOI: 10.1038/s41427-020-00245-0

Keywords

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Funding

  1. Ministry of Science and Technology of China [2018YFE0118300, 2019YFB2205100]
  2. NSFC Program [11974072, 51701037, 51732003, 51872043, 51902048, 61774031, 61574031, U19A2091]
  3. 111 Project [B13013]
  4. Ministry of Education of China [6141A02033414]
  5. China Postdoctoral Science Foundation [2019M661185]
  6. Fundamental Research Funds for the Central Universities [2412019QD015]
  7. Jilin Province [JJKH20201163KJ]

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An all-carbon memristive synapse is highly desirable for hardware implementation in future wearable neuromorphic computing systems. Graphene oxide (GO) can exhibit resistive switching (RS) and may be a feasible candidate to achieve this objective. However, the digital-type RS often occurring in GO-based memristors restricts the biorealistic emulation of synaptic functions. Here, an all-carbon memristive synapse with analog-type RS behavior was demonstrated through photoreduction of GO and N-doped carbon quantum dot (NCQD) nanocomposites. Ultraviolet light irradiation induced the local reduction of GO near the NCQDs, therefore forming multiple weak conductive filaments and demonstrating analog RS with a continuous conductance change. This analog RS enabled the close emulation of several essential synaptic plasticity behaviors; more importantly, the high linearity of the conductance change also facilitated the implementation of pattern recognition with high accuracy. Furthermore, the all-carbon memristive synapse can be transferred onto diverse substrates, showing good flexibility and 3D conformality. Memristive potentiation/depression was stably performed at 450 K, indicating the resistance of the synapse to high temperature. The photoreduction method provides a new path for the fabrication of all-carbon memristive synapses, which supports the development of wearable neuromorphic electronics.

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