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High-Entropy Alloys as a Discovery Platform for Electrocatalysis
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“increasing the compositional complexity, such as high-entropy alloys (HEAs) composed of five or more principal elements, offers the prospect of substantially enhanced tunability of the physicochemical properties and access to new catalytic functionalities.30,31”
From High-Entropy Alloy Aerogels with High-Density Solid–Solid Heterointerfaces for Alkaline Hydrogen Evolution (2026) · cites this paper as [31]
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Metadata
- Authors
- Batchelor, T. A. A., Pedersen, J. K., Winther, S. H., Castelli, I. E., Jacobsen, K. W., & Rossmeisl, J.
- Affiliations
- University of Copenhagen (DK)
- Technical University of Denmark (DK)
- Corresponding author
- Rossmeisl, Jan
- Venue
- Joule
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 3
- Issue
- 3
- Pages
- 834-845
- ISSN
- 2542-4351 (ISSN-L)
- OpenAlex
- W2909236073
- Cited by
- 982
- References
- 47
- Citations by year
- 2026: 157 · 2025: 190 · 2024: 181 · 2023: 153 · 2022: 134 · 2021: 90 · 2020: 60 · 2019: 16
- FWCI
- 15.96
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Joule (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
- Funders
- VILLUM FONDEN (9455)
- Carlsberg Foundation (CF15-0165)
- Innovation Fund Denmark (5124-00003A)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Electrocatalysts for Energy Conversion
- Physical Sciences › Engineering › Mechanical Engineering › High Entropy Alloys Studies
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Keywords
- high-entropy alloys, oxygen reduction reaction, electrocatalysis, adsorption energy, machine learning prediction, alloy composition optimization, catalytic activity, Pt(111) comparison, surface binding sites
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