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,Young‐Ran Jung,Seung‐Hyun Oh,Jeong‐Yun Sun,Sang‐Bum Kim,Young‐Chang Joo
标识
DOI:10.1002/advs.202001544
摘要
Abstract 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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