Nanofiber Channel Organic Electrochemical Transistors for Low‐Power Neuromorphic Computing and Wide‐Bandwidth Sensing Platforms

Autor: Youngran Jung, Seung Hyun Oh, Jeong-Yun Sun, Young Woon Cho, Young-Chang Joo, Sol-Kyu Lee, Sangbum Kim, Jong-Sung Lee
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Materials science
Transistors
Electronic
Polymers
General Chemical Engineering
Science
Nanofibers
General Physics and Astronomy
Medicine (miscellaneous)
02 engineering and technology
Biosensing Techniques
neuromorphic
010402 general chemistry
sensors
01 natural sciences
Biochemistry
Genetics and Molecular Biology (miscellaneous)
law.invention
law
Bandwidth (computing)
nanofiber channel
General Materials Science
Leakage (electronics)
business.industry
Communication
Transistor
General Engineering
Electrochemical Techniques
021001 nanoscience & nanotechnology
organic electrochemical transistors
Communications
0104 chemical sciences
Power (physics)
Neuromorphic engineering
Nanofiber
Synapses
Optoelectronics
Neural Networks
Computer
0210 nano-technology
business
Energy (signal processing)
Communication channel
Zdroj: Advanced Science, Vol 8, Iss 10, Pp n/a-n/a (2021)
Advanced Science
ISSN: 2198-3844
Popis: 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.
Concepts of organic neuromorphic computing/sensing platforms for local monitoring and processing of biological signals in real time are presented. With a nanofiber architecture as a channel of a transistor, low‐power neuromorphic devices and wide‐bandwidth sensors are fabricated together on a single substrate without changing the materials, structures, and fabrication processes, demonstrating the future applications for neuromorphic computing/sensing platforms.
Databáze: OpenAIRE
Externí odkaz: