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Precisely Tuning the Number of Fe Atoms in Clusters on N-Doped Carbon toward Acidic Oxygen Reduction Reaction
Open accessAbstract
Summary Atomically dispersed transition metals anchored on N-doped carbon are identified as a class of promising candidates alternatively to Pt-based catalysts for oxygen reduction reaction but still restricted by the low activity and durability in acidic media. Herein, we report a new strategy for precisely tuning the number of Fe atoms in clusters anchored on N-doped carbon. Such a tunability offers the capabilities of altering O2 adsorption from superoxo-like to peroxo-like configuration as well as tailoring N species in carbon matrix during pyrolytic catalyst synthesis. As a result, Fe2 clusters on N-doped carbon display excellent acidic ORR activity with a half-wave potential of 0.78 V versus reversible hydrogen electrode (RHE) as well as remarkable durability with only a −20 mV shift after 20,000 cycles in 0.5 M H2SO4 solution. This work provides insights into non-noble-metal electrocatalyst design at the atomic level from the angle of both active sites and catalyst supports.
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From ultrasoft pseudopotentials to the projector augmented-wave method
Kresse, G., & Joubert, D. (1999) · Physical Review B · doi:10.1103/physrevb.59.1758 · Cited by 85,307
Improved Oxygen Reduction Activity on Pt 3 Ni(111) via Increased Surface Site Availability
Stamenkovic, V. R., Fowler, B., Mun, B. S., Wang, G., Ross, P. N., Lucas, C. A., & Marković, N. M. (2007) · Science · doi:10.1126/science.1135941 · Cited by 4,421
High-Performance Electrocatalysts for Oxygen Reduction Derived from Polyaniline, Iron, and Cobalt
Wu, G., More, K. L., Johnston, C. M., & Zelenay, P. (2011) · Science · doi:10.1126/science.1200832 · Cited by 3,984
Highly Crystalline Multimetallic Nanoframes with Three-Dimensional Electrocatalytic Surfaces
Chen, C., Kang, Y., Huo, Z., Zhu, Z., Huang, W., Xin, H. L., Snyder, J. D., Li, D., Herron, J. A., Mavrikakis, M., et al. (2014) · Science · doi:10.1126/science.1249061 · Cited by 2,765
Self-citationUltrafine jagged platinum nanowires enable ultrahigh mass activity for the oxygen reduction reaction
Li, M., Zhao, Z., Cheng, T., Fortunelli, A., Chen, C.-Y., Yu, R., Zhang, Q., Gu, L., Merinov, B. V., Lin, Z., et al. (2016) · Science · doi:10.1126/science.aaf9050 · Cited by 1,605
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Emerging Dual‐Atomic‐Site Catalysts for Efficient Energy Catalysis
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Electrocatalysis of Single-Atom Sites: Impacts of Atomic Coordination
Lu, B., Liu, Q., & Chen, S. (2020) · ACS Catalysis · doi:10.1021/acscatal.0c01950 · Cited by 394
Self-citationPan, Y., Zhang, C., Liu, Z., Chen, C., & Li, Y. (2020) · Matter · doi:10.1016/j.matt.2019.11.014 · Cited by 341
Liu, M., Li, N., Cao, S., Wang, X., Lu, X., Kong, L., Xu, Y., & Bu, X. (2022) · Advanced Materials · doi:10.1002/adma.202107421 · Cited by 341
Xie, X., Shang, L., Xiong, X., Shi, R., & Zhang, T. (2022) · Advanced Energy Materials · doi:10.1002/aenm.202102688 · Cited by 291
Metadata
- Authors
- Ye, W., Chen, S., Lin, Y., Yang, L., Chen, S., Zheng, X., Qi, Z., Wang, C., Long, R., Chen, M., Zhu, J., Gao, P., Song, L., Jiang, J., & Xiong, Y.
- Venue
- Chem
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 5
- Issue
- 11
- Pages
- 2865-2878
- ISSN
- 2451-9294 (ISSN-L)
- OpenAlex
- W2969535308
- Cited by
- 547
- References
- 5
- FWCI
- 12.01
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Ye, W., Chen, S., Lin, Y., Yang, L., Chen, S., Zheng, X., Qi, Z., Wang, C., Long, R., Chen, M., Zhu, J., Gao, P., Song, L., Jiang, J., & Xiong, Y. (2019). Precisely Tuning the Number of Fe Atoms in Clusters on N-Doped Carbon toward Acidic Oxygen Reduction Reaction. Chem. https://doi.org/10.1016/j.chempr.2019.07.020
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