The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Lateral-Size-Mediated Efficient Oxygen Evolution Reaction: Insights into the Atomically Thin Quantum Dot Structure of NiFe2O4
Abstract
The study of high-performance electrocatalysts for driving the oxygen evolution reaction (OER) is important for energy storage and conversion systems. As a representative of inverse-spinel-structured oxide catalysts, nickel ferrite (NiFe 2 O 4 ) has recently gained interest because of its earth abundance and environmental friendliness. However, the gained electrocatalytic performance of NiFe 2 O 4 for the OER is still far from the state-of-the-art requirements because of its poor reactivity and finite number of surface active sites. Here, we prepared a series of atomically thin NiFe 2 O 4 catalysts with different lateral sizes through a mild and controllable method. We found that the atomically thin NiFe 2 O 4 quantum dots (AT NiFe 2 O 4 QDs) show the highest OER performance with a current density of 10 mA cm –2 at a low overpotential of 262 mV and a small Tafel slope of 37 mV decade –1 . The outstanding OER performance of AT NiFe 2 O 4 QDs is even comparable to that of commercial RuO 2 catalyst, which can be attributed to its high reactivity and the high fraction of active edge sites resulting from the synergetic effect between the atomically thin thickness and the small lateral size of the atomically thin quantum dot (AT QD) structural motif. The experimental results reveal a negative correlation between lateral size and OER performance in alkaline media. Specifically speaking, the number of low-coordinated oxygen atoms increases with decreasing lateral size, and this leads to significantly more oxygen vacancies that can lower the adsorption energy of H 2 O, increasing the catalytic OER efficiency of AT NiFe 2 O 4 QDs.
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Walter, M. G., Warren, E. L., McKone, J. R., Boettcher, S. W., Mi, Q., Santori, E. A., & Lewis, N. S. (2010) · Chemical Reviews · doi:10.1021/cr1002326 · Cited by 9,388
Identification of Active Edge Sites for Electrochemical H 2 Evolution from MoS 2 Nanocatalysts
Jaramillo, T. F., Jørgensen, K. P., Bonde, J., Nielsen, J. H., Horch, S., & Chorkendorff, I. (2007) · Science · doi:10.1126/science.1141483 · Cited by 6,100
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
Electrocatalyst approaches and challenges for automotive fuel cells
Debe, M. K. (2012) · Nature · doi:10.1038/nature11115 · Cited by 5,885
The nature of the active site in heterogeneous metal catalysis
Nørskov, J. K., Bligaard, T., Hvolbæk, B., Abild-Pedersen, F., Chorkendorff, I., & Christensen, C. H. (2008) · Chemical Society Reviews · doi:10.1039/b800260f · Cited by 885
Mechanism of catalysis of hydrocarbon reactions by platinum surfaces
Somorjai, G. A., & Blakely, D. W. (1975) · Nature · doi:10.1038/258580a0 · Cited by 357
Seo, B., Sa, Y. J., Woo, J., Kwon, K., Park, J., Shin, T. J., Jeong, H. Y., & Joo, S. H. (2016) · ACS Catalysis · doi:10.1021/acscatal.6b00553 · Cited by 153
Zhang, J., & Dai, L. (2016) · Angewandte Chemie · doi:10.1002/ange.201607405 · Cited by 129
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Gao, L., Cui, X., Sewell, C. D., Li, J., & Lin, Z. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00962h · Cited by 1,038
Wang, Y., Yan, D., El Hankari, S., Zou, Y., & Wang, S. (2018) · Advanced Science · doi:10.1002/advs.201800064 · Cited by 767
Engineering Cobalt Defects in Cobalt Oxide for Highly Efficient Electrocatalytic Oxygen Evolution
Zhang, R., Zhang, Y.-C., Pan, L., Shen, G.-Q., Mahmood, N., Ma, Y.-H., Shi, Y., Jia, W., Wang, L., Zhang, X., et al. (2018) · ACS Catalysis · doi:10.1021/acscatal.8b01046 · Cited by 599
Qin, H., He, Y., Xu, P., Huang, D., Wang, Z., Wang, H., Wang, Z., Zhao, Y., Tian, Q., & Wang, C. (2021) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2021.102486 · Cited by 473
Self-citationHuang, L., Chen, D., Luo, G., Lu, Y., Chen, C., Zou, Y., Dong, C., Li, Y., & Wang, S. (2019) · Advanced Materials · doi:10.1002/adma.201901439 · Cited by 414
Metadata
- Authors
- Yang, H., Liu, Y., Luo, S., Zhao, Z., Wang, X., Luo, Y., Wang, Z., Jin, J., & Ma, J.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-07-26
- Volume
- 7
- Issue
- 8
- Pages
- 5557-5567
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W2737581251
- Cited by
- 207
- References
- 8
- FWCI
- 4.98
- Type
- journal article
- Language
- en
- Open access
- closed
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