The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Hydrogen Dissociation by Gold Clusters
Abstract
The rate of H2–D2 exchange increases in proportion to the inverse square of the mean diameter of gold particles supported on TiO2 (see picture), which indicates that hydrogen dissociation takes place on the perimeter interfaces between the gold and TiO2 and that the catalytic activity for H2 dissociation is correlated neither to a change in the fraction of edge or corner sites nor to a change in the electronic nature induced by the quantum size effect.
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Citations
Cites
Charging Effects on Bonding and Catalyzed Oxidation of CO on Au 8 Clusters on MgO
Yoon, B., Häkkinen, H., Landman, U., Wörz, A. S., Antonietti, J.-M., Abbet, S., Judai, K., & Heiz, U. (2005) · Science · doi:10.1126/science.1104168 · Cited by 1,430
Cited by
State of the art in gold nanoparticle synthesis
Zhao, P., Li, N., & Astruc, D. (2013) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2012.09.002 · Cited by 964
Catalysis by Supported Gold Nanoparticles: Beyond Aerobic Oxidative Processes
Stratakis, M., & Garcia, H. (2012) · Chemical Reviews · doi:10.1021/cr3000785 · Cited by 803
Spiers Memorial Lecture : Role of perimeter interfaces in catalysis by gold nanoparticles
Haruta, M. (2011) · Faraday Discussions · doi:10.1039/c1fd00107h · Cited by 282
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Metadata
- Authors
- Fujitani, T., Nakamura, I., Akita, T., Okumura, M., & Haruta, M.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2009-11-30
- Volume
- 48
- Issue
- 50
- Pages
- 9515-9518
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2136303188
- Cited by
- 310
- References
- 1
- FWCI
- 12.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- Fujitani, T., Nakamura, I., Akita, T., Okumura, M., & Haruta, M. (2009). Hydrogen Dissociation by Gold Clusters. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200905380
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
