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Cited by 182

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Molecular surface chemistry by metal single crystals and nanoparticles from vacuum to high pressure

Open access
Somorjai, Gabor A., Park, Jeong Y.·2008·Chemical Society Reviews

Abstract

Model systems for studying molecular surface chemistry have evolved from single crystal surfaces at low pressure to colloidal nanoparticles at high pressure. Low pressure surface structure studies of platinum single crystals using molecular beam surface scattering and low energy electron diffraction techniques probe the unique activity of defects, steps and kinks at the surface for dissociation reactions (H-H, C-H, C-C, O=O bonds). High-pressure investigations of platinum single crystals using sum frequency generation vibrational spectroscopy have revealed the presence and the nature of reaction intermediates. High pressure scanning tunneling microscopy of platinum single crystal surfaces showed adsorbate mobility during a catalytic reaction. Nanoparticle systems are used to determine the role of metal-oxide interfaces, site blocking and the role of surface structures in reactive surface chemistry. The size, shape and composition of nanoparticles play important roles in determining reaction activity and selectivity and is covered in this tutorial review.

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Metadata

Authors
Somorjai, G. A., & Park, J. Y.
Venue
Chemical Society Reviews
Published
2008
Volume
37
Issue
10
Pages
2155
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W210603585
Cited by
182
References
2
FWCI
0.69
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Molecular surface chemistry by metal single crystals and nanoparticles from vacuum to high pressure. https://app.cochat.ai/papers/10.1039/b719148k
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Somorjai, G. A., & Park, J. Y. (2008). Molecular surface chemistry by metal single crystals and nanoparticles from vacuum to high pressure. Chemical Society Reviews. https://doi.org/10.1039/b719148k

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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.