Litcius/Paper detail

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

Ya Lin, Zhongqiang Wang, Xue Zhang, Tao Zeng, Liang Bai, Zhenhui Kang, Changhua Wang, Xiaoning Zhao, Haiyang Xu, Yichun Liu

2020NPG Asia Materials74 citationsDOIOpen Access PDF

Abstract

Abstract 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.

Topics & Concepts

Neuromorphic engineeringMaterials scienceGrapheneMemristorNanotechnologySynapseNanocompositeOptoelectronicsOxideEmulationComputer scienceElectrical engineeringArtificial neural networkNeuroscienceEngineeringEconomic growthMetallurgyMachine learningEconomicsBiologyAdvanced Memory and Neural ComputingNeuroscience and Neural EngineeringPhotoreceptor and optogenetics research