执行机构
嗅觉系统
记忆电阻器
接口(物质)
感觉系统
气味
材料科学
纳米技术
电子鼻
计算机科学
人工智能
神经科学
电气工程
工程类
生物
并行计算
气泡
最大气泡压力法
作者
Zhiyi Gao,Shuai Chen,Rui Li,Zheng Lou,Wei Han,Kai Jiang,Fengyu Qu,Guozhen Shen
出处
期刊:Nano Energy
[Elsevier]
日期:2021-04-20
卷期号:86: 106078-106078
被引量:67
标识
DOI:10.1016/j.nanoen.2021.106078
摘要
Artificial olfactory system has been received increasing attention due to its important applications in future artificial nose, humanoid robot and next generation human-computer interface. However, it is still a challenge to completely simulate the functions of the human olfactory system recognize, remember and induce muscle movement from pungent odor. Here, we have developed a flexible artificial olfactory system by integrating Sr-ZnO-based gas sensors, HfOx-based memristors and electrochemical actuators, which can recognize and memorize and make the self-protection action for NH3. The Sr-ZnO gas sensor can perceive and recognize NH3 through the change of resistance, and the signal transferred to the memristor can switch the resistance states for the storage of ammonia information. Meanwhile, the activation of memristor can also trigger the movement of the electrochemical actuator to block the gas flow channel analogous to the self-protection action of covering the nose with the hand when smelling irritating NH3. Our artificial olfactory system provides a promising strategy for future bioinspired electronics research, especially in the field of mimicking biological sensory systems.
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