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Growth of ultrathin mesoporous Co3O4 nanosheet arrays on Ni foam for high-performance electrochemical capacitors
Abstract
An advanced electrode for high-performance electrochemical capacitors has been designed by growing ultrathin mesoporous Co3O4 nanosheet arrays on the Ni foam support. This unique 3D electrode manifests exceptional supercapacitive performance with ultrahigh specific capacitance at high current densities and excellent cycling stability.
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Citations
Cited by
Jiang, J., Li, Y., Liu, J., Huang, X., Yuan, C., & Lou, X. W. (. (2012) · Advanced Materials · doi:10.1002/adma.201202146 · Cited by 2,473
Self-citationLi, J., Xiong, S., Liu, Y., Ju, Z., & Qian, Y. (2013) · ACS Applied Materials & Interfaces · doi:10.1021/am3026294 · Cited by 759
Zhao, Y., Hu, L., Zhao, S., & Wu, L. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201600494 · Cited by 580
Kate, R. S., Khalate, S. A., & Deokate, R. J. (2018) · Journal of Alloys and Compounds · doi:10.1016/j.jallcom.2017.10.262 · Cited by 574
Two‐Dimensional Metal Oxide Nanomaterials for Next‐Generation Rechargeable Batteries
Mei, J., Liao, T., Kou, L., & Sun, Z. (2017) · Advanced Materials · doi:10.1002/adma.201700176 · Cited by 459
Metadata
- Authors
- Yuan, C., Yang, L., Hou, L., Shen, L., Zhang, X., & (David) Lou, X. W.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 5
- Issue
- 7
- Pages
- 7883
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2042801118
- Cited by
- 863
- References
- 0
- FWCI
- 32.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Growth of ultrathin mesoporous Co3O4 nanosheet arrays on Ni foam for high-performance electrochemical capacitors. https://app.cochat.ai/papers/10.1039/c2ee21745g
- The paper
- Yuan, C., Yang, L., Hou, L., Shen, L., Zhang, X., & (David) Lou, X. W. (2012). Growth of ultrathin mesoporous Co3O4 nanosheet arrays on Ni foam for high-performance electrochemical capacitors. Energy & Environmental Science. https://doi.org/10.1039/c2ee21745g
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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.
