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A Novel Artificial Synapse with Dual Modes using Bilayer Graphene as the Bottom Electrode

Abstract

Resistive Random Access Memory (RRAM) shows great potential to be used as artificial synapses for neuromorphic applications. The resistance can be gradually reduced during reset, which can enable enough states to mimic the “forgetting” process. However, the abrupt set (Mode I) cannot generate enough states to mimic the “learning” process, which result in depression-only behavior. In this work, we introduce another mode (Mode II) in an Al/AlOx/graphene ‘RRAM’ stack by using the oxygen vacancies as trapping centers and the bottom electrode bilayer graphene as the channel material. In this way, since the pulse can gradually create the oxygen vacancies, the post-synaptic current (PSC) can be gradually potentiated or depressed. By introducing the Mode II, we can realize 166 potentiation states, which is higher than previously reported conventional RRAM with insufficient potentiation states due to abrupt set. Moreover, Mode II can help realize an inhibitory synapse. By combining modes I and II, we can realize both excitatory and inhibitory synapses in a single device. This work shows great potential to enable neuromorphic computations with greater learning and reconfigurability.

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Publication details

The article was received on 02 May 2017, accepted on 08 Jun 2017 and first published on 09 Jun 2017


Article type: Communication
DOI: 10.1039/C7NR03106H
Citation: Nanoscale, 2017, Accepted Manuscript
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    A Novel Artificial Synapse with Dual Modes using Bilayer Graphene as the Bottom Electrode

    H. Tian, W. Mi, H. Zhao, M. A. Mohammad, Y. Yang, P. W. Chiu and T. Ren, Nanoscale, 2017, Accepted Manuscript , DOI: 10.1039/C7NR03106H

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