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Cited by 353

The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.

Reactions at surfaces studied by ab initio dynamics calculations

Open access
Groß, Axel·1998·Surface Science Reports

Abstract

Abstract Owing to the development of efficient algorithms and the improvement of computer power it is now possible to map out potential energy surfaces (PESs) of reactions at surfaces in great detail. This achievement has been accompanied by an increased effort in the dynamical simulation of processes on surfaces. The paradigm for simple reactions at surfaces — the dissociation of hydrogen on metal surfaces — can now be treated fully quantum dynamically in the molecular degrees of freedom from first principles, i.e., without invoking any adjustable parameters. This relatively new field of ab initio dynamics simulations of reactions at surfaces will be reviewed. Mainly the dissociation of hydrogen on clean and adsorbate covered metal surfaces and on semiconductor surfaces will be discussed. In addition, the ab initio molecular dynamics treatment of reactions of hydrogen atoms with hydrogen-passivated semiconductor surfaces and recent achievements in the ab initio description of laser-induced desorption and further developments will be addressed.

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Metadata

Authors
Groß, A.
Venue
Surface Science Reports
Publisher
Elsevier BV
Published
1998-01
Volume
32
Issue
8
Pages
291-340
ISSN
0167-5729 (ISSN-L)
OpenAlex
W2164142691
Cited by
353
References
68
FWCI
12.02
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Reactions at surfaces studied by ab initio dynamics calculations. https://app.cochat.ai/papers/10.1016/s0167-5729(98)00008-9
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Groß, A. (1998). Reactions at surfaces studied by ab initio dynamics calculations. Surface Science Reports. https://doi.org/10.1016/s0167-5729(98)00008-9

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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.