The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Markedly Enhanced Oxygen Reduction Activity of Single-Atom Fe Catalysts via Integration with Fe Nanoclusters
Abstract
Single-atom catalysts (SACs) have emerged as one of the most promising alternatives to noble metal-based catalysts for highly efficient oxygen reduction reaction (ORR). While SACs can offer notable benefits in terms of lowering overall catalyst cost, there is still room for improvement regarding catalyst activity. To this end, we designed and successfully fabricated an ORR electrocatalyst in which atomic clusters are embedded in an atomically dispersed Fe–N–C matrix (Fe AC @Fe SA –N–C), as shown by comprehensive measurements using aberration-corrected scanning transmission electron microscopy (AC-STEM) and X-ray absorption spectroscopy (XAS). The half-wave potential of Fe AC @Fe SA –N–C is 0.912 V (versus reversible hydrogen electrode (RHE)), exceeding that of commercial Pt/C (0.897 V), Fe SA –N–C (0.844 V), as well as the half-wave potentials of most reported non-platinum-group metal catalysts. The ORR activity of the designed catalyst stems from single-atom active centers but is markedly enhanced by the presence of Fe nanoclusters, as confirmed by both experimental measurements and theoretical calculations.
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Cites
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
Projector augmented-wave method
Blöchl, P. E. (1994) · Physical Review B · doi:10.1103/physrevb.50.17953 · Cited by 92,732
Origin of the Overpotential for Oxygen Reduction at a Fuel-Cell Cathode
Nørskov, J. K., Rossmeisl, J., Logadottir, A., Lindqvist, L., Kitchin, J. R., Bligaard, T., & Jónsson, H. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp047349j · Cited by 13,153
Benchmarking Heterogeneous Electrocatalysts for the Oxygen Evolution Reaction
McCrory, C. C. L., Jung, S., Peters, J. C., & Jaramillo, T. F. (2013) · Journal of the American Chemical Society · doi:10.1021/ja407115p · Cited by 7,026
Wang, Y.-J., Zhao, N., Fang, B., Li, H., Bi, X. T., & Wang, H. (2015) · Chemical Reviews · doi:10.1021/cr500519c · Cited by 1,267
The preparation of active carbons from coal by chemical and physical activation
Ahmadpour, A., & Do, D. D. (1996) · Carbon · doi:10.1016/0008-6223(95)00204-9 · Cited by 763
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Single-Atom Catalysts across the Periodic Table
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Descriptors for the Evaluation of Electrocatalytic Reactions: d‐Band Theory and Beyond
Jiao, S., Fu, X., & Huang, H. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202107651 · Cited by 719
Huang, H., Yu, D., Hu, F., Huang, S., Song, J., Chen, H., Li, L. L., & Peng, S. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202116068 · Cited by 434
Self-citationWei, X., Song, S., Cai, W., Luo, X., Jiao, L., Fang, Q., Wang, X., Wu, N., Luo, Z., Wang, H., et al. (2023) · Chem · doi:10.1016/j.chempr.2022.10.001 · Cited by 384
Self-citationSingle-Atom (Iron-Based) Catalysts: Synthesis and Applications
Singh, B., Gawande, M. B., Kute, A. D., Varma, R. S., Fornasiero, P., McNeice, P., Jagadeesh, R. V., Beller, M., & Zbořil, R. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00158 · Cited by 373
Metadata
- Authors
- Ao, X., Zhang, W., Li, Z., Li, J.-G., Soule, L., Huang, X., Chiang, W.-H., Chen, H. M., Wang, C., Liu, M., & Zeng, X. C.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-08-28
- Volume
- 13
- Issue
- 10
- Pages
- 11853-11862
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2970862993
- Cited by
- 509
- References
- 6
- FWCI
- 12.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ao, X., Zhang, W., Li, Z., Li, J.-G., Soule, L., Huang, X., Chiang, W.-H., Chen, H. M., Wang, C., Liu, M., & Zeng, X. C. (2019). Markedly Enhanced Oxygen Reduction Activity of Single-Atom Fe Catalysts via Integration with Fe Nanoclusters. ACS Nano. https://doi.org/10.1021/acsnano.9b05913
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