材料科学
光电子学
异质结
电气工程
神经形态工程学
纳米技术
计算机科学
工程类
人工神经网络
机器学习
作者
Caifang Gao,Qianfan Nie,Che‐Yi Lin,Fanming Huang,Liangjun Wang,Wei Xia,Xiang Wang,Zhigao Hu,Mengjiao Li,Hongwei Lu,Ying‐Chih Lai,Yen‐Fu Lin,Junhao Chu,Wenwu Li
出处
期刊:Nano Energy
[Elsevier]
日期:2021-10-29
卷期号:91: 106659-106659
被引量:19
标识
DOI:10.1016/j.nanoen.2021.106659
摘要
Neuromorphic electronics with two-dimensional van der Waals materials meet the ever-increasing demands of both the semiconductor industry and biological engineering, such as miniaturization, structure flexibility, multifunctionality, and low power consumption. However, the majority of reported electronic devices achieve multifarious memory storage states or synaptic plasticity through regulation of an electrical or an optical signal. Herein, we propose an innovative touch-modulated device based on an indium selenide/hexagonal boron nitride/graphene van der Waals heterostructure coupled with a triboelectric nanogenerator. The device is prepared utilizing a simple copper grid shadow mask instead of the expensive and cumbersome electron beam lithography process, exhibits high mobility of 829 cm2 V−1 s−1, low voltage, and low power consumption. Nonvolatile memory with self-writing power, durability and multibit data storage is achieved through mechanical modulation without an additional gate-voltage supply. Moreover, by adjusting the distance between the two friction layers, essential synaptic plasticity, including short-term and long-term potentiation/depression and paired-pulse facilitation/depression, are successfully imitated in the device. Most importantly, we achieve ultralow power consumption of 165 aJ in tribotronic synapses owing to the ultra-high mobility of InSe. Our tribotronic synapse with self-writing power has great potential to simulate the low-power-consuming neuromorphic bioelectronic devices with multiple functions and lays the foundation for future advanced neuromorphic systems and artificial intelligence.
科研通智能强力驱动
Strongly Powered by AbleSci AI