The DOI matches its Crossref record; 159 of the 159 references it cites were found in a registry or an index.
Recent progress of triboelectric nanogenerators: From fundamental theory to practical applications
Open accessAbstract
For the development of the internet of things (IoTs), big data, and artificial intelligence, widely distributed sensing network is the most essential element, which has to be driven by the energy storage unit, with a limited lifetime and environmental concerns. Given that the wide distribution and high mobility of these numerous sensors, the success of the IoTs and sustainable development of human society call for renewable distributed energy sources. Since triboelectrification effect is ubiquitous and universal in our living environment, the triboelectric nanogenerator (TENG) for mechanical energy harvesting and self‐powered sensing developed by Wang and co‐workers is one of the best choices for this energy for the new era. In this review, the recent progress of TENGs from fundamental theory to practical applications is systematically summarized. First, the mechanism of contact electrification, first principle theory, working principle, working modes, and figure of merits of the TENG are introduced. Furthermore, recent important progress in four major TENG applications, including micro/nano power sources, active self‐powered sensors, large‐scale blue energy, and direct high‐voltage power sources are reviewed. In the end, some perspectives and challenges for the future development of TENG are also discussed. image
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Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
Flexible triboelectric generator
Fan, F.-R., Tian, Z.-Q., & Lin Wang, Z. (2012) · Nano Energy · doi:10.1016/j.nanoen.2012.01.004 · Cited by 6,705
Wireless sensor network survey
Yick, J., Mukherjee, B., & Ghosal, D. (2008) · Computer Networks · doi:10.1016/j.comnet.2008.04.002 · Cited by 6,255
Skin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes
Lipomi, D. J., Vosgueritchian, M., Tee, B. C.-K., Hellstrom, S. L., Lee, J. A., Fox, C. H., & Bao, Z. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.184 · Cited by 3,188
Wireless Networks With RF Energy Harvesting: A Contemporary Survey
Lu, X., Wang, P., Niyato, D., Kim, D. I., & Han, Z. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2368999 · Cited by 2,603
Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors
Wang, Z. L., Chen, J., & Lin, L. (2015) · Energy & Environmental Science · doi:10.1039/c5ee01532d · Cited by 2,174
Self-citationOn Maxwell's displacement current for energy and sensors: the origin of nanogenerators
Wang, Z. L. (2017) · Materials Today · doi:10.1016/j.mattod.2016.12.001 · Cited by 2,083
Self-citationTriboelectric Nanogenerator: A Foundation of the Energy for the New Era
Wu, C., Wang, A. C., Ding, W., Guo, H., & Wang, Z. L. (2019) · Advanced Energy Materials · doi:10.1002/aenm.201802906 · Cited by 1,996
Self-citationQuantifying the triboelectric series
Zou, H., Zhang, Y., Guo, L., Wang, P., He, X., Dai, G., Zheng, H., Chen, C., Wang, A. C., Xu, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09461-x · Cited by 1,920
Self-citationOn the origin of contact-electrification
Wang, Z. L., & Wang, A. C. (2019) · Materials Today · doi:10.1016/j.mattod.2019.05.016 · Cited by 1,781
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Cited by
Smart textile triboelectric nanogenerators: Current status and perspectives
Dong, K., Hu, Y., Yang, J., Kim, S.-W., Hu, W., & Wang, Z. L. (2021) · MRS Bulletin · doi:10.1557/s43577-021-00123-2 · Cited by 154
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Metadata
- Authors
- Luo, J., & Wang, Z. L.
- Venue
- EcoMat
- Publisher
- Wiley
- Published
- 2020-10-22
- Volume
- 2
- Issue
- 4
- ISSN
- 2567-3173 (ISSN-L)
- OpenAlex
- W3094302847
- Cited by
- 451
- References
- 159
- FWCI
- 14.67
- Type
- journal article
- Language
- en
- Open access
- gold
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