State Key Laboratory of Electronic Thin Films and Integrate Devices , University of Electronic Science and Technology of China , Chengdu 610054 , China.
Department of Electrical and Computer Engineering , University of California , Riverside , California 92521 , United States.
ACS Appl Mater Interfaces. 2018 Jun 20;10(24):20237-20243. doi: 10.1021/acsami.8b04685. Epub 2018 Jun 11.
Memristors with rich interior dynamics of ion migration are promising for mimicking various biological synaptic functions in neuromorphic hardware systems. A graphene-based memristor shows an extremely low energy consumption of less than a femtojoule per spike, by taking advantage of weak surface van der Waals interaction of graphene. The device also shows an intriguing programmable metaplasticity property in which the synaptic plasticity depends on the history of the stimuli and yet allows rapid reconfiguration via an immediate stimulus. This graphene-based memristor could be a promising building block toward designing highly versatile and extremely energy efficient neuromorphic computing systems.
基于石墨烯的忆阻器利用了石墨烯微弱的表面范德华相互作用，具有极低的能量消耗，每尖峰小于飞焦耳。该器件还表现出一种有趣的可编程类电磁性，其中突触的可塑性取决于刺激的历史，但通过即时刺激可以快速重新配置。这种基于石墨烯的忆阻器有望成为设计高度通用且极其节能的神经形态计算系统的理想构建模块。
