Bioinspired Polydopamine‐Based Resistive‐Switching Memory on Cotton Fabric for Wearable Neuromorphic Device Applications. Issue 8 (17th May 2019)

• Record Type: Journal Article
• Authors: Bae, Hagyoul; Kim, Daewon; Seo, Myungsoo; Jin, Ik Kyeong; Jeon, Seung‐Bae; Lee, Hye Moon; Jung, Soo‐Ho; Jang, Byung Chul; Son, Gyeongho; Yu, Kyoungsik; Choi, Sung‐Yool; Choi, Yang‐Kyu
• Is Part Of: Advanced materials technologies. Volume 4:Issue 8(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-05-17
• Subjects: artificial synapses -- cotton fabric -- neuromorphic devices -- polydopamine -- resistive random access memory (RRAM); Materials science -- Periodicals; Technological innovations -- Periodicals; Materials science; Technological innovations; Periodicals; 620.1105
• DOI: 10.1002/admt.201900151
• Languages: English
• ISSNs: 2365-709X

Abstract

Abstract: 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 ≈81% and the potential for application in wearable and flexible electronic platforms is demonstrated. Abstract : A polydopamine (PDA)‐based resistive‐switching memory (PiFAM) is demonstrated with a lattice structure on cotton fabric. It exhibits highly resilient electrical characteristics and feasibility for use in neuromorphic device applications, given its use of PDA as a biomimetic material. It could be used to improve surface adhesion and avoid physically unstable contact between crosslinked yarns.