The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A theoretical study of grating structured triboelectric nanogenerators
Abstract
A theoretical model for grating structured triboelectric nanogenerators is provided, which outlines its structural and material optimization strategies.
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Citations
Cites
Electromagnetic generator for harvesting energy from human motion
Saha, C. R., O’Donnell, T., Wang, N., & McCloskey, P. (2008) · Sensors and Actuators A: Physical · doi:10.1016/j.sna.2008.03.008 · Cited by 608
Cited by
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-citationWang, Z. L. (2014) · Faraday Discuss. · doi:10.1039/c4fd00159a · Cited by 1,749
Self-citationTheoretical systems of triboelectric nanogenerators
Niu, S., & Wang, Z. L. (2015) · Nano Energy · doi:10.1016/j.nanoen.2014.11.034 · Cited by 1,567
Self-citationOn the first principle theory of nanogenerators from Maxwell's equations
Wang, Z. L. (2020) · Nano Energy · doi:10.1016/j.nanoen.2019.104272 · Cited by 707
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Metadata
- Authors
- Niu, S., Wang, S., Liu, Y., Zhou, Y. S., Lin, L., Hu, Y., Pradel, K. C., & Wang, Z. L.
- Venue
- Energy Environ. Sci.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 7
- Issue
- 7
- Pages
- 2339-2349
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2135238643
- Cited by
- 249
- References
- 1
- FWCI
- 7.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- Niu, S., Wang, S., Liu, Y., Zhou, Y. S., Lin, L., Hu, Y., Pradel, K. C., & Wang, Z. L. (2014). A theoretical study of grating structured triboelectric nanogenerators. Energy Environ. Sci. https://doi.org/10.1039/c4ee00498a
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.