Cited by 115Electrocatalysts for Energy ConversionHydrogen Storage and MaterialsAmmonia Synthesis and Nitrogen Reduction

Enhanced metallicity boosts hydrogen evolution capability of dual-bimetallic Ni–Fe nitride nanoparticles

Open access
Hu, Yuwen, Xiong, Tuzhi, Balogun, M.-Sadeeq Jie Tang, Huang, Yongchao, Adekoya, David, Zhang, Shanqing, Tong, Yexiang·2020·Materials Today Physics

Integrity signals

Registry

Crossref · 10.1016/j.mtphys.2020.100267

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3 of 3 references verified0 citation errors · 0 not checkable

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Authors
Hu, Y., Xiong, T., Balogun, M.-S. J. T., Huang, Y., Adekoya, D., Zhang, S., & Tong, Y.
Affiliations
  • Sun Yat-sen University (CN)
  • Hunan University (CN)
  • Guangzhou University (CN)
  • Griffith University (AU)
Corresponding author
  • Balogun, M.-Sadeeq Jie Tang
  • Huang, Yongchao
  • Tong, Yexiang
Venue
Materials Today Physics
Publisher
Elsevier BV
Published
2020-12
Volume
15
Pages
100267
ISSN
2542-5293 (ISSN-L)
OpenAlex
W3080683807
Cited by
115
References
3
Citations by year
2026: 4 · 2025: 5 · 2024: 16 · 2023: 12 · 2022: 33 · 2021: 37 · 2020: 8
FWCI
4.45
Type
journal article
Language
en
Open access
Locations
  • Materials Today Physics (publishedVersion)
  • Griffith Research Online (submittedVersion, other-oa)
Funders
National Natural Science Foundation of China
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 › Chemical Engineering › Catalysis › Ammonia Synthesis and Nitrogen Reduction
Keywords
hydrogen evolution reaction, Ni3Fe, alkaline hydrogen evolution reaction, d-band center, synergistic effect, electronic interaction, water dissociation, H* adsorption energy

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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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