The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Dynamic Behavior of the Triboelectric Charges and Structural Optimization of the Friction Layer for a Triboelectric Nanogenerator
Abstract
Seeking to increase the triboelectric charge density on a friction layer is one of the most basic approaches to improve the output performance of triboelectric nanogenerators (TENGs). Here, we studied the storage mechanism of triboelectric charge in the friction layer and discussed the function of carrier mobility and concentration in the charge-storing process. As guided by these results, a kind of composite structure is constructed in the friction layer to adjust the depth distribution of the triboelectric charges and improve the output performance of TENGs. To further elucidate this theory, a simple TENG, whose negative friction layer is a composite structure by integrating polystyrene (PS) and carbon nanotubes (CNTs) into polyvinylidene fluoride (PVDF), was fabricated, and its performance test was also carried out. Comparing with a pure PVDF friction layer, the composite friction layer can raise the triboelectric charge density by a factor of 11.2. The extended residence time of electrons in the friction layer is attributed to a large sum of electron trap levels from PS.
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Cites
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Fan, F.-R., Tian, Z.-Q., & Lin Wang, Z. (2012) · Nano Energy · doi:10.1016/j.nanoen.2012.01.004 · Cited by 6,705
A micro electromagnetic generator for vibration energy harvesting
Beeby, S. P., Torah, R. N., Tudor, M. J., Glynne-Jones, P., O'Donnell, T., Saha, C. R., & Roy, S. (2007) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/17/7/007 · Cited by 1,398
Persano, L., Dagdeviren, C., Su, Y., Zhang, Y., Girardo, S., Pisignano, D., Huang, Y., & Rogers, J. A. (2013) · Nature Communications · doi:10.1038/ncomms2639 · Cited by 1,271
Highly‐Efficient, Flexible Piezoelectric PZT Thin Film Nanogenerator on Plastic Substrates
Park, K., Son, J. H., Hwang, G., Jeong, C. K., Ryu, J., Koo, M., Choi, I., Lee, S. H., Byun, M., Wang, Z. L., et al. (2014) · Advanced Materials · doi:10.1002/adma.201305659 · Cited by 835
Self-citationArchitectures for Vibration-Driven Micropower Generators
Mitcheson, P. D., Green, T. C., Yeatman, E. M., & Holmes, A. S. (2004) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2004.830151 · Cited by 753
Zou, Y., Hu, X., Ma, H., & Li, S. E. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.09.146 · Cited by 723
Hwang, G., Park, H., Lee, J., Oh, S., Park, K., Byun, M., Park, H., Ahn, G., Jeong, C. K., No, K., et al. (2014) · Advanced Materials · doi:10.1002/adma.201400562 · Cited by 672
Tang, W., Jiang, T., Fan, F. R., Yu, A. F., Zhang, C., Cao, X., & Wang, Z. L. (2015) · Advanced Functional Materials · doi:10.1002/adfm.201501331 · Cited by 540
Self-citationZi, Y., Lin, L., Wang, J., Wang, S., Chen, J., Fan, X., Yang, P., Yi, F., & Wang, Z. L. (2015) · Advanced Materials · doi:10.1002/adma.201500121 · Cited by 482
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Topographically-Designed Triboelectric Nanogenerator via Block Copolymer Self-Assembly
Jeong, C. K., Baek, K. M., Niu, S., Nam, T. W., Hur, Y. H., Park, D. Y., Hwang, G.-T., Byun, M., Wang, Z. L., Jung, Y. S., et al. (2014) · Nano Letters · doi:10.1021/nl503402c · Cited by 366
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Ramadoss, A., Saravanakumar, B., Lee, S. W., Kim, Y.-S., Kim, S. J., & Wang, Z. L. (2015) · ACS Nano · doi:10.1021/acsnano.5b00759 · Cited by 289
Self-citationZheng, Y., Cheng, L., Yuan, M., Wang, Z., Zhang, L., Qin, Y., & Jing, T. (2014) · Nanoscale · doi:10.1039/c4nr01934b · Cited by 250
Self-citationJeong, C. K., Park, K., Ryu, J., Hwang, G., & Lee, K. J. (2014) · Advanced Functional Materials · doi:10.1002/adfm.201303484 · Cited by 246
Virus-Directed Design of a Flexible BaTiO3 Nanogenerator
Jeong, C. K., Kim, I., Park, K.-I., Oh, M. H., Paik, H., Hwang, G.-T., No, K., Nam, Y. S., & Lee, K. J. (2013) · ACS Nano · doi:10.1021/nn404659d · Cited by 231
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Jeong, C. K., Park, K.-I., Son, J. H., Hwang, G.-T., Lee, S. H., Park, D. Y., Lee, H. E., Lee, H. K., Byun, M., & Lee, K. J. (2014) · Energy Environ. Sci. · doi:10.1039/c4ee02435d · Cited by 200
High-Performance Organolead Halide Perovskite-Based Self-Powered Triboelectric Photodetector
Su, L., Zhao, Z. X., Li, H. Y., Yuan, J., Wang, Z. L., Cao, G. Z., & Zhu, G. (2015) · ACS Nano · doi:10.1021/acsnano.5b04995 · Cited by 191
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Wang, S., Mu, X., Wang, X., Gu, A. Y., Wang, Z. L., & Yang, Y. (2015) · ACS Nano · doi:10.1021/acsnano.5b04396 · Cited by 187
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Cui, N., Gu, L., Liu, J., Bai, S., Qiu, J., Fu, J., Kou, X., Liu, H., Qin, Y., & Wang, Z. L. (2015) · Nano Energy · doi:10.1016/j.nanoen.2015.04.008 · Cited by 171
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Cui, N., Liu, J., Gu, L., Bai, S., Chen, X., & Qin, Y. (2014) · ACS Applied Materials & Interfaces · doi:10.1021/am5071688 · Cited by 159
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Galchev, T., McCullagh, J. J., Peterson, R. L., & Najafi, K. (2011) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/21/10/104005 · Cited by 152
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Li, X., Yeh, M., Lin, Z., Guo, H., Yang, P., Wang, J., Wang, S., Yu, R., Zhang, T., & Wang, Z. L. (2015) · ACS Nano · doi:10.1021/acsnano.5b04486 · Cited by 123
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Cui, N., Wu, W., Zhao, Y. S., Bai, S., Meng, L., Qin, Y., & Wang, Z. L. (2012) · Nano Letters · doi:10.1021/nl301490q · Cited by 99
Self-citationTang, W., Zhang, C., Han, C. B., & Wang, Z. L. (2014) · Advanced Functional Materials · doi:10.1002/adfm.201401936 · Cited by 97
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Metadata
- Authors
- Cui, N., Gu, L., Lei, Y., Liu, J., Qin, Y., Ma, X., Hao, Y., & Wang, Z. L.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-05-17
- Volume
- 10
- Issue
- 6
- Pages
- 6131-6138
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2342774636
- Cited by
- 417
- References
- 26
- FWCI
- 10.03
- Type
- journal article
- Language
- en
- Open access
- closed
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