The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Novel and promising electrocatalyst for oxygen evolution reaction based on MnFeCoNi high entropy alloy
Abstract
Abstract Efficient oxygen evolution reaction catalysts based on earth-abundant and low-cost elements are urgently required for water splitting devices and metal-air batteries. Herein, for the first time we report a novel and promising MOx (M = Mn, Fe, Co and Ni) nanosheets catalyst for oxygen evolution reaction based on the MnFeCoNi high entropy alloy. By an electrochemical cyclic voltammetry scan activation, the MOx nanosheets can grow directly on the MnFeCoNi high entropy alloy particle surfaces forming a core-shell structure. The core-shell structure exhibits a low overpotential of 302 mV to achieve current density of 10 mA cm−2, a small Tafel slope of 83.7 mV dec−1 and exceptional long-term stability of electrolysis for over 20 h in 1 M KOH alkaline solution, which is comparable to the state-of-the-art oxygen evolution reaction electrocatalyst RuO2. We make an investigation of the MnFeCoNi high entropy alloy before and after cyclic voltammetry scan activation on their morphologies, chemical states and elements composition to understand the materials evolution. The present work not only provides a promising electrocatalyst but also broadens the application areas of high entropy alloys.
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1 retracted
Li, H., Wen, P., Li, Q., Dun, C., Xing, J., Lu, C., Adhikari, S., Jiang, L., Carroll, D. L., & Geyer, S. M. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201700513 · Cited by 365
RetractedYeh, J. ‐., Chen, S. ‐., Lin, S. ‐., Gan, J. ‐., Chin, T. ‐., Shun, T. ‐., Tsau, C. ‐., & Chang, S. ‐. (2004) · Advanced Engineering Materials · doi:10.1002/adem.200300567 · Cited by 15,281
A critical review of high entropy alloys and related concepts
Miracle, D. B., & Senkov, O. N. (2017) · Acta Materialia · doi:10.1016/j.actamat.2016.08.081 · Cited by 8,973
Towards greener and more sustainable batteries for electrical energy storage
Larcher, D., & Tarascon, J.-M. (2015) · Nature Chemistry · doi:10.1038/nchem.2085 · Cited by 7,872
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
Sustainable Hydrogen Production
Turner, J. A. (2004) · Science · doi:10.1126/science.1103197 · Cited by 6,602
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
A fracture-resistant high-entropy alloy for cryogenic applications
Gludovatz, B., Hohenwarter, A., Catoor, D., Chang, E. H., George, E. P., & Ritchie, R. O. (2014) · Science · doi:10.1126/science.1254581 · Cited by 5,714
Metastable high-entropy dual-phase alloys overcome the strength–ductility trade-off
Li, Z., Pradeep, K. G., Deng, Y., Raabe, D., & Tasan, C. C. (2016) · Nature · doi:10.1038/nature17981 · Cited by 4,071
Lee, Y., Suntivich, J., May, K. J., Perry, E. E., & Shao-Horn, Y. (2012) · The Journal of Physical Chemistry Letters · doi:10.1021/jz2016507 · Cited by 3,534
Cited by
High-entropy energy materials: challenges and new opportunities
Ma, Y., Ma, Y., Wang, Q., Schweidler, S., Botros, M., Fu, T., Hahn, H., Brezesinski, T., & Breitung, B. (2021) · Energy & Environmental Science · doi:10.1039/d1ee00505g · Cited by 963
Li, R., Liu, X., Liu, W., Li, Z., Chan, K. C., & Lu, Z. (2022) · Advanced Science · doi:10.1002/advs.202105808 · Cited by 100
High‐Entropy Nanomaterials for Advanced Electrocatalysis
Lee, S. A., Bu, J., Lee, J., & Jang, H. W. (2023) · Small Science · doi:10.1002/smsc.202200109 · Cited by 95
Metadata
- Authors
- Dai, W., Lu, T., & Pan, Y.
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 430
- Pages
- 104-111
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W2945222601
- Cited by
- 282
- References
- 60
- FWCI
- 5.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dai, W., Lu, T., & Pan, Y. (2019). Novel and promising electrocatalyst for oxygen evolution reaction based on MnFeCoNi high entropy alloy. Journal of Power Sources. https://doi.org/10.1016/j.jpowsour.2019.05.030
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