Tactile tribotronic reconfigurable p-n junctions for artificial synapses  

受触觉启发摩擦电调控的基于可重构p-n结的人工突触

作　　者：Mengmeng Jia Pengwen Guo Wei Wang Aifang Yu Yufei Zhang Zhong Lin Wang Junyi Zhai 贾萌萌;郭鹏文;王伟;于爱芳;张宇飞;王中林;翟俊宜(CAS Center for Excellence in Nanoscience,Beijing Key Laboratory of Micro-nano Energy and Sensor,Beijing Institute of Nanoenergy and Nanosystems,Chinese Academy of Sciences,Beijing 100083,China;School of Nanoscience and Technology,University of Chinese Academy of Sciences,Beijing 100049,China;Center on Nanoenergy Research,School of Physical Science and Technology,Guangxi University,Nanning 530004,China;School of Materials Science and Engineering,Georgia Institute of Technology,Atlanta,GA 30332,USA)

机构地区：[1]CAS Center for Excellence in Nanoscience,Beijing Key Laboratory of Micro-nano Energy and Sensor,Beijing Institute of Nanoenergy and Nanosystems,Chinese Academy of Sciences,Beijing 100083,China [2]School of Nanoscience and Technology,University of Chinese Academy of Sciences,Beijing 100049,China [3]Center on Nanoenergy Research,School of Physical Science and Technology,Guangxi University,Nanning 530004,China [4]School of Materials Science and Engineering,Georgia Institute of Technology,Atlanta,GA 30332,USA

出　　处：《Science Bulletin》2022年第8期803-812,M0003,共11页科学通报（英文版）

基　　金：supported by the National Natural Science Foundation of China(51872031,52073032,and 61904013);the Fundamental Research Funds for the Central Universities。

摘　　要：The emulation of biological synapses with learning and memory functions and versatile plasticity is significantly promising for neuromorphic computing systems.Here,a robust and continuously adjustable mechanoplastic semifloating-gate transistor is demonstrated based on an integrated graphene/hexagonal boron nitride/tungsten diselenide van der Waals heterostructure and a triboelectric nanogenerator(TENG).The working states(p-n junction or n;-n junction)can be manipulated and switched under the sophisticated modulation of triboelectric potential derived from mechanical actions,which is attributed to carriers trapping and detrapping in the graphene layer.Furthermore,a reconfigurable artificial synapse is constructed based on such mechanoplastic transistor that can simulate typical synaptic plasticity and implement dynamic control correlations in each response mode by further designing the amplitude and duration.The artificial synapse can work with ultra-low energy consumption at 74.2 f J per synaptic event and the extended synaptic weights.Under the synergetic effect of the semifloating gate,the synaptic device can enable successive mechanical facilitation/depression,short-/long-term plasticity and learning-experience behavior,exhibiting the mechanical behavior derived synaptic plasticity.Such reconfigurable and mechanoplastic features provide an insight into the applications of energyefficient and real-time interactive neuromodulation in the future artificial intelligent system beyond von Neumann architecture.模拟人体触觉神经系统对于人工智能的发展至关重要.目前,实现低功耗、高效率且可以主动式驱动的人工突触仍然面临着挑战.本文提出了一种摩擦电势调控下可重构的p-n结以实现低功耗、自驱动的触觉传感系统.该器件集成了摩擦纳米发电机和基于石墨烯/氮化硼/二硒化钨的半浮栅晶体管,通过施加机械位移脉冲使晶体管在p-n结和n;-n结两个工作态之间切换并表现出相应的整流行为,据此提出了一种简单且不引入杂质的制备同质p-n结的方法.本文利用机械脉冲作为突触前电压尖峰,实现了人工突触权重的大范围调节,并成功实现了各种突触行为,例如短时/长时记忆、双脉冲抑制/易化以及学习经验行为.同时,这种设计还可以大幅度地降低能耗至与生物可比拟的fJ水平.这种可重构性和机械塑性的特征有望为未来低功耗、实时交互的人工智能系统提供新的策略.

关 键 词：Reconfigurable p-n junction Semifloating-gate transistor Triboelectric potential Artificial synapses Synaptic plasticity 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM31[自动化与计算机技术—控制科学与工程] TN32[电气工程—电机]