The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.
Understanding the Mechanical and Conductive Properties of Carbon Nanotube Fibers for Smart Electronics
Abstract
The development of fiber‐based smart electronics has provoked increasing demand for high‐performance and multifunctional fiber materials. Carbon nanotube (CNT) fibers, the 1D macroassembly of CNTs, have extensively been utilized to construct wearable electronics due to their unique integration of high porosity/surface area, desirable mechanical/physical properties, and extraordinary structural flexibility, as well as their novel corrosion/oxidation resistivity. To take full advantage of CNT fibers, it is essential to understand their mechanical and conductive properties. Herein, the recent progress regarding the intrinsic structure–property relationship of CNT fibers, as well as the strategies of enhancing their mechanical and conductive properties are briefly summarized, providing helpful guidance for scouting ideally structured CNT fibers for specific flexible electronic applications.
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Cites
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Cited by
Smart Textiles for Electricity Generation
Chen, G., Li, Y., Bick, M., & Chen, J. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00821 · Cited by 931
Carbon nanotubes: functionalisation and their application in chemical sensors
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Functional Fiber Materials to Smart Fiber Devices
Chen, C., Feng, J., Li, J., Guo, Y., Shi, X., & Peng, H. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00192 · Cited by 308
Porous Conductive Textiles for Wearable Electronics
Ding, Y., Jiang, J., Wu, Y., Zhang, Y., Zhou, J., Zhang, Y., Huang, Q., & Zheng, Z. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00507 · Cited by 269
Metadata
- Authors
- Zhang, X., Lu, W., Zhou, G., & Li, Q.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2019-06-28
- Volume
- 32
- Issue
- 5
- Pages
- e1902028-e1902028
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2954995284
- Cited by
- 408
- References
- 131
- FWCI
- 11.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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