The DOI matches its Crossref record.
Highly conductive carbon–CoO hybrid nanostructure arrays with enhanced electrochemical performance for asymmetric supercapacitors
Abstract
Highly conductive carbon–CoO nanowire array electrodes on 3D nickel foam were designed with ultrahigh specific capacitance (3282.2 F g−1), approaching the CoO theoretical value. Assembled into an asymmetric supercapacitor, the energy density is ∼58.9 W h kg−1, a record among Co-based supercapacitors.
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Citations
Cited by
Xu, L., Jiang, Q., Xiao, Z., Li, X., Huo, J., Wang, S., & Dai, L. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201600687 · Cited by 2,073
Porous cobalt oxide nanoplates enriched with oxygen vacancies for oxygen evolution reaction
Xu, W., Lyu, F., Bai, Y., Gao, A., Feng, J., Cai, Z., & Yin, Y. (2018) · Nano Energy · doi:10.1016/j.nanoen.2017.11.022 · Cited by 513
Metadata
- Authors
- Wang, H., Qing, C., Guo, J., Aref, A. A., Sun, D., Wang, B., & Tang, Y.
- Venue
- J. Mater. Chem. A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 2
- Issue
- 30
- Pages
- 11776-11783
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W2089826901
- Cited by
- 162
- References
- 0
- FWCI
- 5.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Highly conductive carbon–CoO hybrid nanostructure arrays with enhanced electrochemical performance for asymmetric supercapacitors. https://app.cochat.ai/papers/10.1039/c4ta01132e
- The paper
- Wang, H., Qing, C., Guo, J., Aref, A. A., Sun, D., Wang, B., & Tang, Y. (2014). Highly conductive carbon–CoO hybrid nanostructure arrays with enhanced electrochemical performance for asymmetric supercapacitors. J. Mater. Chem. A. https://doi.org/10.1039/c4ta01132e
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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.
