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
收藏
页数:7
相关论文
共 50 条
  • [1] Resistive-switching analogue memory device for neuromorphic application
    Moon, Kibong
    Park, Sangsu
    Lee, Daeseok
    Woo, Jiyong
    Cha, Euijun
    Lee, Sangheon
    Hwang, Hyunsang
    2014 IEEE SILICON NANOELECTRONICS WORKSHOP (SNW), 2014,
  • [2] Bipolar Resistive-Switching Phenomena and Resistive-Switching Mechanisms Observed in Zirconium Nitride-Based Resistive-Switching Memory Cells
    Kim, Hee-Dong
    An, Ho-Myoung
    Sung, Yun Mo
    Im, Hyunsik
    Kim, Tae Geun
    IEEE TRANSACTIONS ON DEVICE AND MATERIALS RELIABILITY, 2013, 13 (01) : 252 - 257
  • [3] Precise weight tuning in quantum dot-based resistive-switching memory for neuromorphic systems
    Kim, Gyeongpyo
    Yoo, Doheon
    So, Hyojin
    Park, Seoyoung
    Kim, Sungjoon
    Choi, Min-Jae
    Kim, Sungjun
    MATERIALS HORIZONS, 2025, 12 (03) : 915 - 925
  • [4] Ion dynamics in metal halide perovskites for resistive-switching memory and neuromorphic memristors
    Lee, Sumin
    Son, Jeonghyeon
    Jeong, Beomjin
    MATERIALS TODAY ELECTRONICS, 2024, 9
  • [5] Resistive-switching mechanism of transparent nonvolatile memory device based on gallium zinc oxide
    Wang, Yongshun
    PHYSICA STATUS SOLIDI A-APPLICATIONS AND MATERIALS SCIENCE, 2012, 209 (02): : 364 - 368
  • [6] Honey-CNT based Resistive Switching Device for Neuromorphic Computing Applications
    Tanim, Mehedi Hasan
    Vicenciodelmoral, Abdi Yamil
    Templin, Zoe
    Zhao, Xinghui
    Zhao, Feng
    2022 IEEE/ACM INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING, APPLICATIONS AND TECHNOLOGIES, BDCAT, 2022, : 182 - 183
  • [7] An Electronic Synapse Device Based on Metal Oxide Resistive Switching Memory for Neuromorphic Computation
    Yu, Shimeng
    Wu, Yi
    Jeyasingh, Rakesh
    Kuzum, Duygu
    Wong, H. -S. Philip
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2011, 58 (08) : 2729 - 2737
  • [8] Complementary Switching in Oxide-Based Bipolar Resistive-Switching Random Memory
    Nardi, Federico
    Balatti, Simone
    Larentis, Stefano
    Gilmer, David C.
    Ielmini, Daniele
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2013, 60 (01) : 70 - 77
  • [9] Hardware implementation of associative memory characteristics with analogue-type resistive-switching device
    Moon, Kibong
    Park, Sangsu
    Jang, Junwoo
    Lee, Daeseok
    Woo, Jiyong
    Cha, Euijun
    Lee, Sangheon
    Park, Jaesung
    Song, Jeonghwan
    Koo, Yunmo
    Hwang, Hyunsang
    NANOTECHNOLOGY, 2014, 25 (49)
  • [10] Analog Resistive Switching in Reduced Graphene Oxide and Chitosan-Based Bio-Resistive Random Access Memory Device for Neuromorphic Computing Applications
    Jetty, Prabana
    Sahu, Dwipak Prasad
    Jammalamadaka, Suryanarayana
    PHYSICA STATUS SOLIDI-RAPID RESEARCH LETTERS, 2022, 16 (02):