Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156855
Title: Recent progress of fiber-based transistors: materials, structures and applications
Authors: Zhang, Haozhe
Wang, Zhe
Wang, Zhixun
He, Bing
Chen, Mengxiao
Qi, Miao
Liu, Yanting
Xin, Jiwu
Wei, Lei
Keywords: Engineering::Electrical and electronic engineering::Nanoelectronics
Engineering::Materials
Issue Date: 2022
Source: Zhang, H., Wang, Z., Wang, Z., He, B., Chen, M., Qi, M., Liu, Y., Xin, J. & Wei, L. (2022). Recent progress of fiber-based transistors: materials, structures and applications. Frontiers of Optoelectronics, 15(1), 2-. https://dx.doi.org/10.1007/s12200-022-00002-x
Project: MOE2019- T2-2-127
MOE-T2EP50120-0002
A2083c0062
RG90/19
RG73/19
NRF-CRP18-2017-02
I2001E0067 (IAF-ICP)-P2.1
Journal: Frontiers of Optoelectronics
Abstract: Wearable electronics on fibers or fabrics assembled with electronic functions provide a platform for sensors, displays, circuitry, and computation. These new conceptual devices are human-friendly and programmable, which makes them indispensable for modern electronics. Their unique properties such as being adaptable in daily life, as well as being lightweight and flexible, have enabled many promising applications in robotics, healthcare, and the Internet of Things (IoT). Transistors, one of the fundamental blocks in electronic systems, allow for signal processing and computing. Therefore, study leading to integration of transistors with fabrics has become intensive. Here, several aspects of fiber-based transistors are addressed, including materials, system structures, and their functional devices such as sensory, logical circuitry, memory devices as well as neuromorphic computation. Recently reported advances in development and challenges to realizing fully integrated electronic textile (e-textile) systems are also discussed. Graphical Abstract: [Figure not available: see fulltext.]
URI: https://hdl.handle.net/10356/156855
ISSN: 2095-2759
DOI: 10.1007/s12200-022-00002-x
DOI (Related Dataset): 10.21979/N9/RELR4S
Schools: School of Electrical and Electronic Engineering 
Rights: © 2022 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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