Cited by 982Electrocatalysts for Energy ConversionHigh Entropy Alloys StudiesMachine Learning in Materials Science

High-Entropy Alloys as a Discovery Platform for Electrocatalysis

Open access
Batchelor, Thomas A.A., Pedersen, Jack K., Winther, Simon H., Castelli, Ivano E., Jacobsen, Karsten W., Rossmeisl, Jan·2019·Joule

Integrity signals

Registry

Crossref · 10.1016/j.joule.2018.12.015

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

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
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

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review