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Cited by 993

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

E LECTRONIC S TRUCTURE AND C ATALYSIS ON M ETAL S URFACES

Greeley, Jeff, Nørskov, Jens K., Mavrikakis, Manos·2002·Annual Review of Physical Chemistry

Abstract

▪ Abstract The powerful computational resources available to scientists today, together with recent improvements in electronic structure calculation algorithms, are providing important new tools for researchers in the fields of surface science and catalysis. In this review, we discuss first principles calculations that are now capable of providing qualitative and, in many cases, quantitative insights into surface chemistry. The calculations can aid in the establishment of chemisorption trends across the transition metals, in the characterization of reaction pathways on individual metals, and in the design of novel catalysts. First principles studies provide an excellent fundamental complement to experimental investigations of the above phenomena and can often allow the elucidation of important mechanistic details that would be difficult, if not impossible, to determine from experiments alone.

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Crossref · 10.1146/annurev.physchem.53.100301.131630

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Metadata

Authors
Greeley, J., Nørskov, J. K., & Mavrikakis, M.
Venue
Annual Review of Physical Chemistry
Published
2002-10
Volume
53
Issue
1
Pages
319-348
ISSN
  • 0066-426X (ISSN-L)
  • 1545-1593
OpenAlex
W2150892770
Cited by
993
References
3
FWCI
2.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: E LECTRONIC S TRUCTURE AND C ATALYSIS ON M ETAL S URFACES. https://app.cochat.ai/papers/10.1146/annurev.physchem.53.100301.131630
The paper
Greeley, J., Nørskov, J. K., & Mavrikakis, M. (2002). E LECTRONIC S TRUCTURE AND C ATALYSIS ON M ETAL S URFACES. Annual Review of Physical Chemistry. https://doi.org/10.1146/annurev.physchem.53.100301.131630

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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.