The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
MOF Template‐Directed Fabrication of Hierarchically Structured Electrocatalysts for Efficient Oxygen Evolution Reaction
Abstract
The ever‐increasing demand for clean and renewable power sources has sparked intensive research on water splitting to produce hydrogen, in which the exploration of electrocatalysts is the central issue. Herein, a new strategy, metal–organic framework template‐directed fabrication of hierarchically structured Co 3 O 4@X (X = Co 3 O 4, CoS, C, and CoP) electrocatalysts for efficient oxygen evolution reaction (OER) is developed, where Co 3 O 4@X are derived from cobalt carbonatehydroxide@zeolitic‐imidazolate‐framework‐67 (CCH@ZIF‐67). Unique hierarchical structure and synergistic effect of resulting catalysts endow abundant exposed active sites, facile ion diffusion path, and improved conductivity, being favorable for improving catalytic activity of them. Consequently, these derivatives Co 3 O 4@X reveal highly efficient electrocatalytic performance with long‐term durability for the OER, much superior to previously reported cobalt‐based catalysts as well as the Ir/C catalyst. Particularly, Co 3 O 4@CoP exhibits the highest electrocatalytic capability with the lower overpotential of 238 mV at the current density of 10 mA cm−2. Furthermore, Co 3 O 4@X can also efficiently catalyze other small molecules through electro‐oxidation reaction (e.g., glycerol, methanol, or ethanol). It is expected that the strategy presented here can be extended to the fabrication of other composite electrode materials with hierarchical structures for more efficient water splitting.
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McCrory, C. C. L., Jung, S., Ferrer, I. M., Chatman, S. M., Peters, J. C., & Jaramillo, T. F. (2015) · Journal of the American Chemical Society · doi:10.1021/ja510442p · Cited by 4,145
Homogeneously dispersed multimetal oxygen-evolving catalysts
Zhang, B., Zheng, X., Voznyy, O., Comin, R., Bajdich, M., García-Melchor, M., Han, L., Xu, J., Liu, M., Zheng, L., et al. (2016) · Science · doi:10.1126/science.aaf1525 · Cited by 2,447
Jin, H., Wang, J., Su, D., Wei, Z., Pang, Z., & Wang, Y. (2015) · Journal of the American Chemical Society · doi:10.1021/ja5127165 · Cited by 1,765
Faber, M. S., & Jin, S. (2014) · Energy Environ. Sci. · doi:10.1039/c4ee01760a · Cited by 1,317
Masa, J., Weide, P., Peeters, D., Sinev, I., Xia, W., Sun, Z., Somsen, C., Muhler, M., & Schuhmann, W. (2016) · Advanced Energy Materials · doi:10.1002/aenm.201502313 · Cited by 854
Chen, S., Duan, J., Tang, Y., Jin, B., & Zhang Qiao, S. (2015) · Nano Energy · doi:10.1016/j.nanoen.2014.09.022 · Cited by 243
Cited by
Metal–organic frameworks as a platform for clean energy applications
Li, X., Yang, X., Xue, H., Pang, H., & Xu, Q. (2020) · EnergyChem · doi:10.1016/j.enchem.2020.100027 · Cited by 706
Design Strategies toward Advanced MOF‐Derived Electrocatalysts for Energy‐Conversion Reactions
Liu, J., Zhu, D., Guo, C., Vasileff, A., & Qiao, S. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201700518 · Cited by 668
Multifunctional Transition Metal‐Based Phosphides in Energy‐Related Electrocatalysis
Li, Y., Dong, Z., & Jiao, L. (2020) · Advanced Energy Materials · doi:10.1002/aenm.201902104 · Cited by 603
Wang, R., Dong, X., Du, J., Zhao, J., & Zang, S. (2018) · Advanced Materials · doi:10.1002/adma.201703711 · Cited by 580
MOF-derived nanohybrids for electrocatalysis and energy storage: current status and perspectives
Zhang, H., Liu, X., Wu, Y., Guan, C., Cheetham, A. K., & Wang, J. (2018) · Chemical Communications · doi:10.1039/c8cc00789f · Cited by 309
Metadata
- Authors
- Zhou, J., Dou, Y., Zhou, A., Guo, R., Zhao, M., & Li, J.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2017-02-02
- Volume
- 7
- Issue
- 12
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W2585742022
- Cited by
- 321
- References
- 6
- FWCI
- 13.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhou, J., Dou, Y., Zhou, A., Guo, R., Zhao, M., & Li, J. (2017). MOF Template‐Directed Fabrication of Hierarchically Structured Electrocatalysts for Efficient Oxygen Evolution Reaction. Advanced Energy Materials. https://doi.org/10.1002/aenm.201602643
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