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Cited by 15Electrocatalysts for Energy ConversionAdvanced Photocatalysis TechniquesCO2 Reduction Techniques and Catalysts

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Hierarchical nanoflowers of Bi/Fe-based selenide as a bifunctional electrocatalyst for alkaline water electrolysis

Aman, Mohd, Sharma, Vikas, Omar, Shobit·2024·Applied Surface Science

Overview

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Crossref · 10.1016/j.apsusc.2024.160611

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References 74 · Cited by 15

Metadata

Authors
Aman, M., Sharma, V., & Omar, S.
Affiliations
Indian Institute of Technology Kanpur (IN)
Corresponding author
Omar, Shobit
Venue
Applied Surface Science
Publisher
Elsevier BV
Published
2024-10
Volume
670
Pages
160611
ISSN
0169-4332 (ISSN-L)
OpenAlex
W4400088669
Cited by
15
References
74
Citations by year
2026: 5 · 2025: 10
FWCI
1.00
Type
journal article
Language
en
Open access
closed
Locations
Applied Surface Science (publishedVersion)
Funders
  • Department of Science and Technology (IFA20-ENG-312)
  • Science and Engineering Research Board (CRG/2022/001636)
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Electrocatalysts for Energy Conversion
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Advanced Photocatalysis Techniques
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › CO2 Reduction Techniques and Catalysts
Keywords
Bi2Se3, flower-like nanostructures, bifunctional electrocatalysts, alkaline water electrolysis, hydrogen evolution reaction, oxygen evolution reaction, nickel foam, crystal defects, noble metal-free catalysts, band gap tuning

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CoChat. (2026). Citation check: Hierarchical nanoflowers of Bi/Fe-based selenide as a bifunctional electrocatalyst for alkaline water electrolysis. https://app.cochat.ai/papers/10.1016/j.apsusc.2024.160611
The paper
Aman, M., Sharma, V., & Omar, S. (2024). Hierarchical nanoflowers of Bi/Fe-based selenide as a bifunctional electrocatalyst for alkaline water electrolysis. Applied Surface Science. https://doi.org/10.1016/j.apsusc.2024.160611

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.