The DOI matches its Crossref record; 357 of the 357 references it cites were found in a registry or an index.
Quantum Mechanical Studies of Large Metal, Metal Oxide, and Metal Chalcogenide Nanoparticles and Clusters
Open accessAbstract
Here, metal, metal oxide, and metal chalcogenide materials have a wide variety of applications. For example, many metal clusters and nanoparticles are used as catalysts for reactions varying from the oxidation of carbon monoxide to the reduction of protons to hydrogen gas. Noble metal nanoparticles have unique optical properties such as a surface plasmon resonance for large nanoparticles that yield applications in sensing and photonics. In addition, a number of transition metal clusters are magnetic. Metal oxide clusters and surfaces are commonly used as catalysts for reactions such as water splitting. Both metal oxide and metal chalcogenide materials can be semiconducting, which leads to applications in sensors, electronics, and solar cells. Many researchers have been interested in studying nanoparticles and/or small clusters of these materials. Some of the system sizes under investigation have been experimentally synthesized, which enables direct theory–experiment comparison. Other clusters that have been examined theoretically are of interest as models of larger systems or surfaces. Often, the size-dependence of their properties such as their HOMO–LUMO gap, magnetic properties, optical properties, etc., is of interest.
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Cites
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Cited by
Transformation Chemistry of Gold Nanoclusters: From One Stable Size to Another
Zeng, C., Chen, Y., Das, A., & Jin, R. (2015) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.5b01150 · Cited by 258
Metadata
- Authors
- Fernando, A., Weerawardene, K. L. D. M., Karimova, N. V., & Aikens, C. M.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-04-21
- Volume
- 115
- Issue
- 12
- Pages
- 6112-6216
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2325308157
- Cited by
- 403
- References
- 357
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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