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Phase Evolution on the Hydrogen Adsorption Kinetics of NiFe‐Based Heterogeneous Catalysts for Efficient Water Electrolysis
Abstract
Transition metal layered double hydroxides, especially nickel‐iron layered double hydroxide (NiFe‐LDH) shows significant advancement as efficient oxygen evolution reaction (OER) electrocatalyst but also plays a momentous role as a precursor for NiFe‐based hydrogen evolution reaction (HER) catalysts. Herein, a simple strategy for developing Ni‐Fe‐derivative electrocatalysts via phase evolution of NiFe‐LDH under controllable annealing temperatures in an argon atmosphere is reported. The optimized catalyst annealed at 340 o C (denoted NiO/FeNi 3) exhibits superior HER properties with an ultralow overpotential of 16 mV@10 mA cm−2. Density functional theory simulation and in situ Raman analyses reveal that the excellent HER properties of the NiO/FeNi 3 can be attributed to the strong electronic interaction at the interface of the metallic FeNi 3 and semiconducting NiO, which optimizes the H 2 O and H adsorption energies for efficient HER and OER catalytic processes. This work will provide rational insights into the subsequent development of related HER electrocatalysts and other corresponding compounds via LDH‐based precursors.
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Pt-based electrocatalysts are still recognized as the most effective catalysts for both alkaline HER and alkaline MOR.
“Currently, Pt-based electrocatalysts are still recognized as the most effective catalysts for both alkaline HER and alkaline MOR.16,20–22”
From Tuning the local environment of atomic Pt shells of Pt 3 Fe@Pt nanoparticles enables energy-saving hydrogen production (2026) · cites this paper as [22]
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A review on fundamentals for designing oxygen evolution electrocatalysts
Song, J., Wei, C., Huang, Z.-F., Liu, C., Zeng, L., Wang, X., & Xu, Z. J. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00607a · Cited by 2,936
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Research works printed but not linked: 60
- 10.1016/j.fuel.2021.122048 · DOI
- 10.1002/advs.201901614 · DOI
- 10.1016/j.mtener.2022.101001 · DOI
- 10.1039/D0TA12424A · DOI
- 10.1016/j.ijhydene.2019.03.157 · DOI
- 10.1002/adfm.201910274 · DOI
- 10.1039/D2TA05872C · DOI
- 10.1021/acscatal.9b04505 · DOI
- 10.1016/j.mtchem.2022.100824 · DOI
- 10.1016/j.jechem.2019.01.017 · DOI
- 10.1016/j.jallcom.2021.160929 · DOI
- 10.1002/smll.202003916 · DOI
- 10.1039/D0CY00315H · DOI
- 10.1016/j.apcatb.2020.118627 · DOI
- 10.1016/j.cclet.2021.12.095 · DOI
- 10.1002/aenm.201502585 · DOI · Paper page
- 10.1016/j.mtphys.2020.100267 · DOI · Paper page
- 10.1039/D0TA11618A · DOI
- 10.1002/smll.202104624 · DOI
- 10.1038/s41467-021-24828-9 · DOI
- 10.1002/smll.202003777 · DOI
- 10.1016/j.apcatb.2021.119881 · DOI
- 10.1016/j.cej.2020.124969 · DOI
- 10.1021/acsanm.1c00978 · DOI
- 10.1016/j.seppur.2021.119351 · DOI
- 10.1002/anie.202116057 · DOI
- 10.1016/j.apcatb.2022.121391 · DOI
- 10.1021/acsomega.9b02315 · DOI
- 10.1021/acsnano.2c02820 · DOI
- 10.1002/adfm.202202068 · DOI
- 10.1007/s12274-022-4179-8 · DOI
- 10.1002/adma.202201774 · DOI
- 10.1002/adma.202007508 · DOI
- 10.1016/j.jechem.2021.11.025 · DOI · Paper page
- 10.1002/smll.202105331 · DOI
- 10.1002/aenm.201901396 · DOI
- 10.1039/C8EE00976G · DOI
- 10.1021/acsnano.8b07841 · DOI · Paper page
- 10.1039/D0QI00124D · DOI
- 10.1103/PhysRevLett.72.238 · DOI
- 10.1016/j.susc.2004.04.059 · DOI
- 10.1039/b803640c · DOI
- 10.1021/ja0543393 · DOI
- 10.1126/science.1259437 · DOI
- 10.1002/anie.201612183 · DOI
- 10.1038/s41586-021-04068-z · DOI
- 10.1038/s41929-020-00511-y · DOI
- 10.1021/acssuschemeng.8b03153 · DOI
- 10.1038/s41563-019-0356-x · DOI
- 10.1002/aenm.202102353 · DOI
- 10.1016/j.joule.2021.05.005 · DOI · Paper page
- 10.1016/j.cej.2022.138358 · DOI
- 10.1039/D1NR03186D · DOI
- 10.1016/j.apcatb.2022.121170 · DOI
- 10.1016/j.cpc.2009.07.007 · DOI
- 10.1103/PhysRevB.45.13244 · DOI
- 10.1016/j.cpc.2018.01.012 · DOI
- 10.1103/PhysRevB.13.5188 · DOI · Paper page
- 10.1021/ct200308m · DOI
- 10.1002/jcc.22885 · DOI
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Li, S., Xu, Q., Sun, B., Liu, X., Tian, H., Wang, X., & Xia, H. (2026) · Journal of Materials Chemistry A · doi:10.1039/d6ta01696k
Metadata
- Authors
- Xiong, T., Zhu, Z., He, Y., Balogun, M. ‐., & Huang, Y.
- Affiliations
- Hunan University (CN)
- Guangzhou University (CN)
- Corresponding author
- Balogun, M.‐Sadeeq
- Huang, Yongchao
- Venue
- Small Methods
- Publisher
- Wiley
- Published
- 2023-02-19
- Volume
- 7
- Issue
- 4
- Pages
- e2201472-e2201472
- ISSN
- 2366-9608 (ISSN-L)
- OpenAlex
- W4321349901
- Cited by
- 139
- References
- 1
- Citations by year
- 2026: 10 · 2025: 29 · 2024: 67 · 2023: 33
- FWCI
- 6.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Small Methods (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Natural Science Foundation of Guangzhou City (202201020147)
- Natural Science Foundation of Hunan Province (2021JJ30087)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Electrocatalysts for Energy Conversion
- Physical Sciences › Materials Science › Materials Chemistry › Layered Double Hydroxides Synthesis and Applications
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › CO2 Reduction Techniques and Catalysts
- Keywords
- NiFe layered double hydroxide, hydrogen evolution reaction, oxygen evolution reaction, phase evolution, annealing temperature, FeNi3, nickel oxide, heterogeneous electrocatalysts, hydrogen adsorption, water electrolysis, adsorption energy
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