State Key Laboratory for Advanced Metals and Materials, School of Materials Science and Engineering, University of Science and Technology Beijing , Beijing 100083, China.
College of Materials & Environmental Engineering, Hangzhou Dianzi University , Hangzhou 310018, China.
ACS Appl Mater Interfaces. 2017 Dec 20;9(50):43822-43829. doi: 10.1021/acsami.7b15269. Epub 2017 Dec 8.
Haptic memory, from the interaction of skin and brain, can not only perceive external stimuli but also memorize it after removing the external stimuli. For the mimicry of human sensory memory, a self-powered artificial tactile memorizing system was developed by coupling bionic electronic skin and nonvolatile resistive random access memory (RRAM). The tribotronic nanogenerator is utilized as electronic skin to transform the touching signal into electric pulse, which will be programmed into the artificial brain: RRAM. Because of the advanced structural designs and accurate parameter matching, including the output voltages and the resistances in different resistive states, the artificial brain can be operated in self-powered mode to memorize the touch stimuli with the responsivity up to 20 times. For demonstrating the application potential of this system, it was fabricated as an independently addressed matrix to realize the memorizing of motion trace in two-dimensional space. The newly designed self-powered nonvolatile system has broad applications in next-generation high-performance sensors, artificial intelligence, and bionics.
触觉记忆来自皮肤和大脑的相互作用，不仅可以感知外部刺激，而且在去除外部刺激后还可以记忆。为了模仿人类的感觉记忆，通过耦合仿生电子皮肤和非易失性阻变随机存取存储器（RRAM），开发了一种自供电人工触觉记忆系统。摩擦电纳米发电机被用作电子皮肤，将触摸信号转换为电脉冲，然后将其编程到人工大脑：RRAM 中。由于先进的结构设计和精确的参数匹配，包括不同电阻状态下的输出电压和电阻，人工大脑可以在自供电模式下运行，以高达 20 倍的响应率记忆触摸刺激。为了展示该系统的应用潜力，将其制作成独立寻址矩阵，以实现二维空间中运动轨迹的记忆。这个新设计的自供电非易失性系统在下一代高性能传感器、人工智能和仿生学中有广泛的应用。
