File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

고현협

Ko, Hyunhyub
Functional Nanomaterials & Devices Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Multi-Layered Triboelectric Nanogenerators with Controllable Multiple Spikes for Low-Power Artificial Synaptic Devices

Author(s)
Park, Yong-JinRo, Yun GooShin, Young-EunPark, CheolhongNa, SangyunChang, YoojinKo, Hyunhyub
Issued Date
2023-12
DOI
10.1002/advs.202304598
URI
https://scholarworks.unist.ac.kr/handle/201301/66210
Citation
ADVANCED SCIENCE, v.10, no.36, pp.2304598
Abstract
In the domains of wearable electronics, robotics, and the Internet of Things, there is a demand for devices with low power consumption and the capability of multiplex sensing, memory, and learning. Triboelectric nanogenerators (TENGs) offer remarkable versatility in this regard, particularly when integrated with synaptic transistors that mimic biological synapses. However, conventional TENGs, generating only two spikes per cycle, have limitations when used in synaptic devices requiring repetitive high-frequency gating signals to perform various synaptic plasticity functions. Herein, a multi-layered micropatterned TENG (M-TENG) consisting of a polydimethylsiloxane (PDMS) film and a composite film that includes 1H,1H,2H,2H-perfluorooctyltrichlorosilane/BaTiO3/PDMS are proposed. The M-TENG generates multiple spikes from a single touch by utilizing separate triboelectric charges at the multiple friction layers, along with a contact/separation delay achieved by distinct spacers between layers. This configuration allows the maximum triboelectric output charge of M-TENG to reach up to 7.52 nC, compared to 3.69 nC for a single-layered TENG. Furthermore, by integrating M-TENGs with an organic electrochemical transistor, the spike number multiplication property of M-TENGs is leveraged to demonstrate an artificial synaptic device with low energy consumption. As a proof-of-concept application, a robotic hand is operated through continuous memory training under repeated stimulations, successfully emulating long-term plasticity. Three-layered triboelectric nanogenerator (3-TENG) generates multiple spikes from a single touch and its integration with an organic electrochemical transistor (OECT) to accomplish a highly efficient artificial synaptic device. These multiple spikes not only enhance the triboelectric performance of the TENG but can also be utilized to successfully emulate neural functions by delivering high-frequency gate voltage to the OECT.image
Publisher
WILEY
ISSN
2198-3844
Keyword (Author)
artificial synaptic deviceshuman-machine interfacetransistorstriboelectric nanogenerators
Keyword
SHORT-TERM PLASTICITYENERGYPOLARIZATIONPERFORMANCETRANSISTORSMECHANISMSSYNAPSES

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.