Multi-terminal pectin/chitosan hybrid electrolyte gated oxide neuromorphic transistor with multi-mode cognitive activities

IF 5.3 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Yan Li, You Jie Huang, Xin Li Chen, Wei Sheng Wang, Xin Huang, Hui Xiao, Li Qiang Zhu
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Abstract

In order to fulfill the urgent requirements of functional products, circuit integration of different functional devices are commonly utilized. Thus, issues including production cycle, cost, and circuit crosstalk will get serious. Neuromorphic computing aims to break through the bottle neck of von Neumann architectures. Electronic devices with multi-operation modes, especially neuromorphic devices with multi-mode cognitive activities, would provide interesting solutions. Here, pectin/chitosan hybrid electrolyte gated oxide neuromorphic transistor was fabricated. With extremely strong proton related interfacial electric-double-layer coupling, the device can operate at low voltage of below 1 V. The device can also operate at multi-operation mode, including bottom gate mode, coplanar gate and pseudo-diode mode. Interestingly, the artificial synapse can work at low voltage of only 1 mV, exhibiting extremely low energy consumption of ∼7.8 fJ, good signal-to-noise ratio of ∼229.6 and sensitivity of ∼23.6 dB. Both inhibitory and excitatory synaptic responses were mimicked on the pseudo-diode, demonstrating spike rate dependent plasticity activities. Remarkably, a linear classifier is proposed on the oxide neuromorphic transistor under synaptic metaplasticity mechanism. These results suggest great potentials of the oxide neuromorphic devices with multi-mode cognitive activities in neuromorphic platform.

Abstract Image

具有多模式认知活动的多端果胶/壳聚糖混合电解质门控氧化物神经形态晶体管
为了满足功能性产品的迫切需求,不同功能器件的电路集成被普遍采用。因此,生产周期、成本和电路串扰等问题将变得十分严重。神经形态计算旨在突破冯-诺依曼架构的瓶颈。具有多操作模式的电子设备,尤其是具有多模式认知活动的神经形态设备,将提供有趣的解决方案。在此,我们制作了果胶/壳聚糖混合电解质门控氧化物神经形态晶体管。该器件具有极强的质子相关界面电双层耦合,可在低于 1 V 的低电压下工作,还可在底栅模式、共面栅模式和伪二极管模式等多操作模式下工作。有趣的是,人工突触可在仅 1 mV 的低电压下工作,能耗极低,仅为 7.8 fJ,信噪比高达 229.6,灵敏度为 23.6 dB。在伪二极管上模拟了抑制性和兴奋性突触反应,显示了与尖峰速率相关的可塑性活动。值得注意的是,在突触元弹性机制下,氧化物神经形态晶体管提出了一种线性分类器。这些结果表明,氧化物神经形态器件在神经形态平台的多模式认知活动方面具有巨大潜力。
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来源期刊
CiteScore
8.30
自引率
3.40%
发文量
1601
期刊介绍: ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications of nanomaterials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important applications of nanomaterials.
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