神经形态工程学
材料科学
带宽(计算)
纳米纤维
晶体管
计算机科学
纳米技术
光电子学
电子工程
电气工程
电信
工程类
人工神经网络
人工智能
电压
作者
Sol-Kyu Lee,Young Woon Cho,Jong-Sung Lee,Yoonsoo Jung,Sechan Oh,Jeong‐Yun Sun,Sang‐Bum Kim,Young‐Chang Joo
标识
DOI:10.1002/advs.202001544
摘要
Organic neuromorphic computing/sensing platforms are a promising concept for local monitoring and processing of biological signals in real time. Neuromorphic devices and sensors with low conductance for low power consumption and high conductance for low-impedance sensing are desired. However, it has been a struggle to find materials and fabrication methods that satisfy both of these properties simultaneously in a single substrate. Here, nanofiber channels with a self-formed ion-blocking layer are fabricated to create organic electrochemical transistors (OECTs) that can be tailored to achieve low-power neuromorphic computing and fast-response sensing by transferring different amounts of electrospun nanofibers to each device. With their nanofiber architecture, the OECTs exhibit a low switching energy of 113 fJ and operate within a wide bandwidth (cut-off frequency of 13.5 kHz), opening a new paradigm for energy-efficient neuromorphic computing/sensing platforms in a biological environment without the leakage of personal information.
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