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Engineering electrocatalytic activity in nanosized perovskite cobaltite through surface spin-state transition
Open accessAbstract
The activity of electrocatalysts exhibits a strongly dependence on their electronic structures. Specifically, for perovskite oxides, Shao-Horn and co-workers have reported a correlation between the oxygen evolution reaction activity and the eg orbital occupation of transition-metal ions, which provides guidelines for the design of highly active catalysts. Here we demonstrate a facile method to engineer the eg filling of perovskite cobaltite LaCoO 3 for improving the oxygen evolution reaction activity. By reducing the particle size to ∼80 nm, the eg filling of cobalt ions is successfully increased from unity to near the optimal configuration of 1.2 expected by Shao-Horn’s principle. Consequently, the activity is significantly enhanced, comparable to those of recently reported cobalt oxides with eg∼1.2 configurations. This enhancement is ascribed to the emergence of spin-state transition from low-spin to high-spin states for cobalt ions at the surface of the nanoparticles, leading to more active sites with increased reactivity.
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Cites
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Cited by
A review on fundamentals for designing oxygen evolution electrocatalysts
Song, J., Wei, C., Huang, Z.-F., Liu, C., Zeng, L., Wang, X., & Xu, Z. J. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00607a · Cited by 2,936
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Metadata
- Authors
- Zhou, S., Miao, X., Zhao, X., Ma, C., Qiu, Y., Hu, Z., Zhao, J., Shi, L., & Zeng, J.
- Venue
- Nature Communications
- Published
- 2016-05-17
- Volume
- 7
- Issue
- 1
- Pages
- 11510-11510
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2403509034
- Cited by
- 508
- References
- 5
- FWCI
- 8.13
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhou, S., Miao, X., Zhao, X., Ma, C., Qiu, Y., Hu, Z., Zhao, J., Shi, L., & Zeng, J. (2016). Engineering electrocatalytic activity in nanosized perovskite cobaltite through surface spin-state transition. Nature Communications. https://doi.org/10.1038/ncomms11510
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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