Bioinspired Polydopamine-Based Resistive-Switching Memory on Cotton Fabric for Wearable Neuromorphic Device Applications

被引:34
|
作者
Bae, Hagyoul [1 ,2 ]
Kim, Daewon [3 ]
Seo, Myungsoo [1 ]
Jin, Ik Kyeong [1 ]
Jeon, Seung-Bae [1 ]
Lee, Hye Moon [4 ]
Jung, Soo-Ho [4 ]
Jang, Byung Chul [1 ]
Son, Gyeongho [1 ]
Yu, Kyoungsik [1 ]
Choi, Sung-Yool [1 ]
Choi, Yang-Kyu [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Sch Elect Engn, 291 Daehak Ro, Daejeon 34141, South Korea
[2] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
[3] Kyung Hee Univ, Dept Elect Engn Wearable Convergence Elect, 1732 Deogyeong Daero, Yongin 17104, South Korea
[4] KIMS, Powder & Ceram Div, 797 Changwondaero, Chang Won 51508, South Korea
基金
新加坡国家研究基金会;
关键词
artificial synapses; cotton fabric; neuromorphic devices; polydopamine; resistive random access memory (RRAM); ELECTRONICS; SUBSTRATE; DOPAMINE; SURFACE; PERFORMANCE; DEPOSITION; TEXTILES; LOGIC; FILM;
D O I
10.1002/admt.201900151
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Fabric-based electronic textiles (e-textiles) have been investigated for the fabrication of high-performance wearable electronic devices with good durability. Current e-textile technology is limited by not only the delicate characteristics of the materials used but also by the fabric substrates, which impose constraints on the fabrication process. A polydopamine (PDA)-intercalated fabric memory (PiFAM) with a resistive random access memory (RRAM) architecture is reported for fabric-based wearable devices, as a step towards promising neuromorphic devices beyond the most simple. It is composed of interwoven cotton yarns. A solution-based dip-coating method is used to create a functional core-shell yarn. The outer shell is coated with PDA and the inner shell is coated with aluminum (Al) surrounding the core yarn, which serves as a backbone. The Al shell serves as the RRAM electrode and the PDA is a resistive-switching layer. These functional yarns are then interwoven to create the RRAM in a lattice point. Untreated yarn is intercalated between adjacent functional yarns to avoid cell-to-cell interference. The PiFAM is applied to implement a synapse, and the feasibility of a neuromorphic device with pattern recognition accuracy of approximate to 81% and the potential for application in wearable and flexible electronic platforms is demonstrated.
引用
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页数:7
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