High-Entropy Alloys as a Discovery Platform for Electrocatalysis
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Increasing compositional complexity, such as high-entropy alloys composed of five or more principal elements, offers the prospect of substantially enhanced tunability of physicochemical properties and access to new catalytic functionalities.
“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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- 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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