The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Tailoring the d‐Band Centers Enables Co4N Nanosheets To Be Highly Active for Hydrogen Evolution Catalysis
Abstract
Endowing materials with specific functions that are not readily available is always of great importance, but extremely challenging. Co 4 N, with its beneficial metallic characteristics, has been proved to be highly active for the oxidation of water, while it is notoriously poor for catalyzing the hydrogen evolution reaction (HER), because of its unfavorable d‐band energy level. Herein, we successfully endow Co 4 N with prominent HER catalytic capability by tailoring the positions of the d‐band center through transition‐metal doping. The V‐doped Co 4 N nanosheets display an overpotential of 37 mV at 10 mA cm−2, which is substantially better than Co 4 N and even close to the benchmark Pt/C catalysts. XANES, UPS, and DFT calculations consistently reveal the enhanced performance is attributed to the downshift of the d‐band center, which helps facilitate the H desorption. This concept could provide valuable insights into the design of other catalysts for HER and beyond.
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Cites
Noble metal-free hydrogen evolution catalysts for water splitting
Zou, X., & Zhang, Y. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00448e · Cited by 5,955
Tian, J., Liu, Q., Asiri, A. M., & Sun, X. (2014) · Journal of the American Chemical Society · doi:10.1021/ja503372r · Cited by 2,373
Fei, H., Dong, J., Feng, Y., Allen, C. S., Wan, C., Volosskiy, B., Li, M., Zhao, Z., Wang, Y., Sun, H., et al. (2018) · Nature Catalysis · doi:10.1038/s41929-017-0008-y · Cited by 1,973
Kong, D., Wang, H., Lu, Z., & Cui, Y. (2014) · Journal of the American Chemical Society · doi:10.1021/ja501497n · Cited by 1,392
Faber, M. S., & Jin, S. (2014) · Energy Environ. Sci. · doi:10.1039/c4ee01760a · Cited by 1,317
Kibsgaard, J., & Jaramillo, T. F. (2014) · Angewandte Chemie International Edition · doi:10.1002/anie.201408222 · Cited by 1,048
Cao, B., Veith, G. M., Neuefeind, J. C., Adzic, R. R., & Khalifah, P. G. (2013) · Journal of the American Chemical Society · doi:10.1021/ja4081056 · Cited by 998
Jia, X., Zhao, Y., Chen, G., Shang, L., Shi, R., Kang, X., Waterhouse, G. I. N., Wu, L., Tung, C., & Zhang, T. (2016) · Advanced Energy Materials · doi:10.1002/aenm.201502585 · Cited by 773
Zhang, Y., Ouyang, B., Xu, J., Jia, G., Chen, S., Rawat, R. S., & Fan, H. J. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201604372 · Cited by 737
Zhang, B., Xiao, C., Xie, S., Liang, J., Chen, X., & Tang, Y. (2016) · Chemistry of Materials · doi:10.1021/acs.chemmater.6b02610 · Cited by 509
Cited by
Jin, H., Liu, X., Vasileff, A., Jiao, Y., Zhao, Y., Zheng, Y., & Qiao, S.-Z. (2018) · ACS Nano · doi:10.1021/acsnano.8b07841 · Cited by 441
Self-citationCao, E., Chen, Z., Wu, H., Yu, P., Wang, Y., Xiao, F., Chen, S., Du, S., Xie, Y., Wu, Y., et al. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.201915254 · Cited by 337
Self-citationWang, N., Ning, S., Yu, X., Chen, D., Li, Z., Xu, J., Meng, H., Zhao, D., Li, L., Liu, Q., et al. (2022) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2021.120838 · Cited by 233
Zhang, X., Jia, F., & Song, S. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2020.127013 · Cited by 145
Li, Y., Tan, X., Chen, S., Bo, X., Ren, H., Smith, S. C., & Zhao, C. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201808629 · Cited by 142
Metadata
- Authors
- Chen, Z., Song, Y., Cai, J., Zheng, X., Han, D., Wu, Y., Zang, Y., Niu, S., Liu, Y., Zhu, J., Liu, X., & Wang, G.
- Venue
- Angewandte Chemie
- Publisher
- Wiley
- Published
- 2018-03-23
- Volume
- 130
- Issue
- 18
- Pages
- 5170-5174
- ISSN
- 0044-8249 (ISSN-L)
- 1521-3757
- OpenAlex
- W4245393260
- Cited by
- 169
- References
- 11
- FWCI
- 4.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, Z., Song, Y., Cai, J., Zheng, X., Han, D., Wu, Y., Zang, Y., Niu, S., Liu, Y., Zhu, J., Liu, X., & Wang, G. (2018). Tailoring the d‐Band Centers Enables Co4N Nanosheets To Be Highly Active for Hydrogen Evolution Catalysis. Angewandte Chemie. https://doi.org/10.1002/ange.201801834
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