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

Hagyoul Bae, Daewon Kim, Myungsoo Seo, Ik Kyeong Jin, Seung Bae Jeon, Hye Moon Lee, Soo Ho Jung, Byung Chul Jang, Gyeongho Son, Kyoungsik Yu, Sung Yool Choi, Yang Kyu Choi

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

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.

Original languageEnglish
Article number1900151
JournalAdvanced Materials Technologies
Volume4
Issue number8
DOIs
StatePublished - Aug 2019

Keywords

  • artificial synapses
  • cotton fabric
  • neuromorphic devices
  • polydopamine
  • resistive random access memory (RRAM)

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