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Metallic Micro-Nano Network-Based Soft Transparent Electrodes: Materials, Processes, and Applications.
Chen, Liyang; Khan, Arshad; Dai, Shuqin; Bermak, Amine; Li, Wen-Di.
Afiliação
  • Chen L; Department of Mechanical Engineering, University of Hong Kong, Hong Kong, 00000, China.
  • Khan A; Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, 8092, Switzerland.
  • Dai S; Department of Mechanical Engineering, University of Hong Kong, Hong Kong, 00000, China.
  • Bermak A; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, 34110, Qatar.
  • Li WD; Department School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Adv Sci (Weinh) ; 10(35): e2302858, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37890452
Soft transparent electrodes (TEs) have received tremendous interest from academia and industry due to the rapid development of lightweight, transparent soft electronics. Metallic micro-nano networks (MMNNs) are a class of promising soft TEs that exhibit excellent optical and electrical properties, including low sheet resistance and high optical transmittance, as well as superior mechanical properties such as softness, robustness, and desirable stability. They are genuinely interesting alternatives to conventional conductive metal oxides, which are expensive to fabricate and have limited flexibility on soft surfaces. This review summarizes state-of-the-art research developments in MMNN-based soft TEs in terms of performance specifications, fabrication methods, and application areas. The review describes the implementation of MMNN-based soft TEs in optoelectronics, bioelectronics, tactile sensors, energy storage devices, and other applications. Finally, it presents a perspective on the technical difficulties and potential future possibilities for MMNN-based TE development.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article