The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Boron‐Doped Carbon Nanotubes as Metal‐Free Electrocatalysts for the Oxygen Reduction Reaction
Abstract
A metal-free electrocatalyst has been developed by doping carbon nanotubes with electron-deficient boron. The good performance in the oxygen reduction reaction originates from the enhanced O2 chemisorption and effective utilization of π electrons in the conjugated carbon from the boron doping, as revealed by DFT calculations.
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Cites
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Cited by
Combining theory and experiment in electrocatalysis: Insights into materials design
Seh, Z. W., Kibsgaard, J., Dickens, C. F., Chorkendorff, I., Nørskov, J. K., & Jaramillo, T. F. (2017) · Science · doi:10.1126/science.aad4998 · Cited by 12,114
Metal-Free Catalysts for Oxygen Reduction Reaction
Dai, L., Xue, Y., Qu, L., Choi, H.-J., & Baek, J.-B. (2015) · Chemical Reviews · doi:10.1021/cr5003563 · Cited by 2,380
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Oxygen Reduction in Alkaline Media: From Mechanisms to Recent Advances of Catalysts
Ge, X., Sumboja, A., Wuu, D., An, T., Li, B., Goh, F. W. T., Hor, T. S. A., Zong, Y., & Liu, Z. (2015) · ACS Catalysis · doi:10.1021/acscatal.5b00524 · Cited by 1,341
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Metadata
- Authors
- Yang, L., Jiang, S., Zhao, Y., Zhu, L., Chen, S., Wang, X., Wu, Q., Ma, J., Ma, Y., & Hu, Z.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2011-06-17
- Volume
- 50
- Issue
- 31
- Pages
- 7132-7135
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2141151138
- Cited by
- 1,297
- References
- 1
- FWCI
- 30.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yang, L., Jiang, S., Zhao, Y., Zhu, L., Chen, S., Wang, X., Wu, Q., Ma, J., Ma, Y., & Hu, Z. (2011). Boron‐Doped Carbon Nanotubes as Metal‐Free Electrocatalysts for the Oxygen Reduction Reaction. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201101287
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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.