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Rationally designed graphene-nanotube 3D architectures with a seamless nodal junction for efficient energy conversion and storage
Open accessAbstract
Seamlessly joint graphene-nanotube 3D architectures were created by one-step CVD for efficient energy conversion and storage.
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Cited by
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Counter electrodes in dye-sensitized solar cells
Wu, J., Lan, Z., Lin, J., Huang, M., Huang, Y., Fan, L., Luo, G., Lin, Y., Xie, Y., & Wei, Y. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00752j · Cited by 788
Revitalizing carbon supercapacitor electrodes with hierarchical porous structures
Liu, T., Zhang, F., Song, Y., & Li, Y. (2017) · Journal of Materials Chemistry A · doi:10.1039/c7ta05646j · Cited by 621
Energy harvesting and storage in 1D devices
Sun, H., Zhang, Y., Zhang, J., Sun, X., & Peng, H. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.23 · Cited by 528
Carbon‐Based Metal‐Free Catalysts for Key Reactions Involved in Energy Conversion and Storage
Zhao, S., Wang, D., Amal, R., & Dai, L. (2019) · Advanced Materials · doi:10.1002/adma.201801526 · Cited by 406
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Metadata
- Authors
- Xue, Y., Ding, Y., Niu, J., Xia, Z., Roy, A., Chen, H., Qu, J., Wang, Z. L., & Dai, L.
- Venue
- Science Advances
- Published
- 2015-09-04
- Volume
- 1
- Issue
- 8
- Pages
- e1400198-e1400198
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W2097108298
- Cited by
- 217
- References
- 0
- FWCI
- 8.46
- Type
- journal article
- Language
- en
- Open access
- gold
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- Xue, Y., Ding, Y., Niu, J., Xia, Z., Roy, A., Chen, H., Qu, J., Wang, Z. L., & Dai, L. (2015). Rationally designed graphene-nanotube 3D architectures with a seamless nodal junction for efficient energy conversion and storage. Science Advances. https://doi.org/10.1126/sciadv.1400198
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.