An organic electrochemical transistor for multi-modal sensing, memory and processing

被引:0
|
作者
Shijie Wang
Xi Chen
Chao Zhao
Yuxin Kong
Baojun Lin
Yongyi Wu
Zhaozhao Bi
Ziyi Xuan
Tao Li
Yuxiang Li
Wei Zhang
En Ma
Zhongrui Wang
Wei Ma
机构
[1] Xi’an Jiaotong University,State Key Laboratory for Mechanical Behavior of Materials
[2] The University of Hong Kong,Department of Electrical and Electronic Engineering
[3] Xi’an University of Science and Technology,School of Materials Science and Engineering
[4] Xi’an Jiaotong University,Center for Alloy Innovation and Design (CAID), State Key Laboratory for Mechanical Behavior of Materials
来源
Nature Electronics | 2023年 / 6卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
By integrating sensing, memory and processing functionalities, biological nervous systems are energy and area efficient. Emulating such capabilities in artificial systems is, however, challenging and is limited by the device heterogeneity of sensing and processing cores. Here we report an organic electrochemical transistor capable of sensing, memory and processing. The device has a vertical traverse architecture and a crystalline–amorphous channel that can be selectively doped by ions to enable two reconfigurable modes: a volatile receptor and a non-volatile synapse. As a volatile receptor, the device is capable of multi-modal sensing and is responsive to stimuli such as ions and light. As a non-volatile synapse, it is capable of 10-bit analogue states, low switching stochasticity and good state retention. We also show that the homogeneous integration of the devices could provide functions such as conditioned reflexes and could be used for real-time cardiac disease diagnoses via reservoir computing.
引用
收藏
页码:281 / 291
页数:10
相关论文
共 50 条
  • [1] An organic electrochemical transistor for multi-modal sensing, memory and processing
    Wang, Shijie
    Chen, Xi
    Zhao, Chao
    Kong, Yuxin
    Lin, Baojun
    Wu, Yongyi
    Bi, Zhaozhao
    Xuan, Ziyi
    Li, Tao
    Li, Yuxiang
    Zhang, Wei
    Ma, En
    Wang, Zhongrui
    Ma, Wei
    NATURE ELECTRONICS, 2023, 6 (04) : 281 - 291
  • [2] Transparent and flexible organic field-effect transistor for multi-modal sensing
    Tran Quang Trung
    Nguyen Thanh Tien
    Seol, Young Gug
    Lee, Nae-Eung
    ORGANIC ELECTRONICS, 2012, 13 (04) : 533 - 540
  • [3] A MULTI-MODAL VIEW OF MEMORY
    HERRMANN, DJ
    SEARLEMAN, A
    BULLETIN OF THE PSYCHONOMIC SOCIETY, 1988, 26 (06) : 503 - 503
  • [4] A Dual-Modal Memory Organic Electrochemical Transistor Implementation for Reservoir Computing
    Yin, Yuyang
    Wang, Shaocong
    Weng, Ruihong
    Xiao, Na
    Deng, Jianni
    Wang, Qian
    Wang, Zhongrui
    Chan, Paddy Kwok Leung
    SMALL SCIENCE, 2025, 5 (01):
  • [5] Physical Querying with Multi-Modal Sensing
    Baek, Iljoo
    Stine, Taylor
    Dash, Denver
    Xiao, Fanyi
    Sheikh, Yaser
    Movshovitz-Attias, Yair
    Chen, Mei
    Hebert, Martial
    Kanade, Takeo
    2014 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2014, : 183 - 190
  • [6] Multi-modal Sensing for Behaviour Recognition
    Wang, Ziwei
    Liu, Jiajun
    Arablouei, Reza
    Bishop-Hurley, Greg
    Matthews, Melissa
    Borges, Paulo
    PROCEEDINGS OF THE 2022 THE 28TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, ACM MOBICOM 2022, 2022, : 900 - 902
  • [7] On the Multi-Modal Sensing of Electrical Arcs
    Vasile, Costin
    Ioana, Cornel
    2017 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS), 2017,
  • [8] TennisSense: A Multi-Modal Sensing Platform for Sport
    O'Connor, Noel E.
    Kelly, Philip
    O'Conaire, Ciaran
    Connaghan, Damien
    Smeaton, Alan F.
    Caulfield, Brian
    Diamond, Dermot
    Moynahan, Niall
    ERCIM NEWS, 2009, (76): : 54 - 55
  • [9] A Multi-Modal Approach to Sensing Human Emotion
    Gibilisco, Hannah
    Laubenberger, Michael
    Spiridonov, Valerii
    Belga, Jacob
    Hallstrom, Jason O.
    Peluso, Paul R.
    2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 2499 - 2502
  • [10] Multi-Modal Physiological Sensing on the Upper Arm
    Branan, Kimberly L.
    Reyes, Gilberto O. Flores
    Abel, John A.
    Erraguntla, Madhav
    Gutierrez-Osuna, Ricardo
    Cote, Gerard L.
    BIOPHOTONICS IN EXERCISE SCIENCE, SPORTS MEDICINE, HEALTH MONITORING TECHNOLOGIES, AND WEARABLES III, 2022, 11956