Phosphorylation Enables Nano-Graphene for Tunable Artificial Synapses

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

  • Zhenyu Zhang
  • Yuanduo Qu
  • Siran Chen
  • Shanwu Ke
  • Mengdi Hao
  • Yongyue Xiao
  • Shuai Zhang
  • Ziqiang Cheng
  • Jiangrong Xiao
  • Hao Huang
  • Cong Ye
  • Xue-Feng Yu
  • Jiahong Wang

Detail(s)

Original languageEnglish
Article number2416794
Journal / PublicationAdvanced Functional Materials
Publication statusOnline published - 24 Nov 2024

Abstract

Flexible and robust memristors with controllable resistance-switching characteristics are important to neuromorphic computing. However, the nanomaterials-based, solution-processed resistance switching layer usually has poor reliability and tunability due to uneven morphology and invariable surface properties. Herein, phosphorylated graphene nanoflakes (phos-GPs) are synthesized for high-performance solution-processed flexible memristors. In situ conductive atomic force microscopy reveals that the tightly stacked uniform nanoflakes and modified phosphorate groups jointly reduce the formation barrier of the conductive filaments. Furthermore, phosphorylation gives rise to surface silver ion coordination leading to enhanced radial growth of the conductive filaments. The memristor shows volatile characteristics in the Ag/phos-GPs/ITO architecture and exhibits non-volatile properties in the Ag/Ag+-(phos-GPs)/ITO structure. Both types of memristors display consistent I--V curves during long-term cycling and under repetitive mechanical bending, in addition to excellent synaptic plasticity. Moreover, ultrasmall nonlinearity is observed from non-volatile long-term synaptic potentiation and depression. By utilizing the tunable artificial synapses, the processes of memory-forgetting and re-recognition are simulated, and the image recognition tasks are accomplished by the artificial neural networks. © 2024 Wiley-VCH GmbH.

Research Area(s)

  • 2D materials, artificial synapses, functionalization, memristors, non-volatile, volatile

Citation Format(s)

Phosphorylation Enables Nano-Graphene for Tunable Artificial Synapses. / Zhang, Zhenyu; Qu, Yuanduo; Chen, Siran et al.
In: Advanced Functional Materials, 24.11.2024.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review