Electrocatalytic properties of new electrocatalysts for hydrogen evolution in alkaline water electrolysis
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The use of Mo-RF electrode offers economic benefit of reduced capital cost investment compared with other electrodes such as Pt-C previously used in electrolysers.
“It is anticipated that the use of Mo-RF electrode offers economic benefit of reduced capital cost investment compared with other electrodes such as PteC previously used in electrolysers.”
From Investigation of molybdenum-(resorcinol–formaldehyde) (Mo-RF) electrode for alkaline electrolyser operation (2011) · cites this paper as [32]
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References 29 · Cited by 149
- Authors
- Hu, W.
- Affiliations
- Stockholm University (SE)
- Corresponding author
- Hu, W
- ORCID
- Hu, W
- Venue
- International Journal of Hydrogen Energy
- Publisher
- Elsevier BV
- Published
- 2000-02
- Volume
- 25
- Issue
- 2
- Pages
- 111-118
- ISSN
- 0360-3199 (ISSN-L)
- OpenAlex
- W2110964914
- Cited by
- 149
- References
- 29
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 7 · 2023: 6 · 2022: 3 · 2021: 5 · 2020: 6 · 2019: 9 · 2018: 9 · 2017: 6 · 2016: 12 · 2015: 13 · 2014: 10 · 2013: 7 · 2012: 8
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Hydrogen Energy (publishedVersion)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Electrocatalysts for Energy Conversion
- Physical Sciences › Materials Science › Materials Chemistry › Hydrogen Storage and Materials
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Fuel Cells and Related Materials
- Keywords
- hydrogen evolution reaction, alkaline water electrolysis, electrocatalysts, hydrogen storage alloys, KOH electrolyte, corrosion resistance, electrode surface composition, hydrogen overpotential, catalyst stability
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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