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Cited by 509

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Microwave-Enhanced Reaction Rates for Nanoparticle Synthesis

Gerbec, Jeffrey A., Magana, Donny, Washington, Aaron, Strouse, Geoffrey F.·2005·Journal of the American Chemical Society

Abstract

Microwave reactor methodologies are unique in their ability to be scaled-up without suffering thermal gradient effects, providing a potentially industrially important improvement in nanocrystal synthetic methodology over convective methods. Synthesis of high-quality, near monodispersity nanoscale InGaP, InP, and CdSe have been prepared via direct microwave heating of the molecular precursors rather than convective heating of the solvent. Microwave dielectric heating not only enhances the rate of formation, it also enhances the material quality and size distributions. The reaction rates are influenced by the microwave field and by additives. The final quality of the microwave-generated materials depends on the reactant choice, the applied power, the reaction time, and temperature. CdSe nanocrystals prepared in the presence of a strong microwave absorber exhibit sharp excitonic features and a QY of 68% for microwave-grown materials. InGaP and InP are rapidly formed at 280 degrees C in minutes, yielding clean reactions and monodisperse size distributions that require no size-selective precipitation and result in the highest out of batch quantum efficiency reported to date of 15% prior to chemical etching. The use of microwave (MW) methodology is readily scalable to larger reaction volumes, allows faster reaction times, removes the need for high-temperature injection, and suggests a specific microwave effect may be present in these reactions.

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Metadata

Authors
Gerbec, J. A., Magana, D., Washington, A., & Strouse, G. F.
Venue
Journal of the American Chemical Society
Published
2005-10-19
Volume
127
Issue
45
Pages
15791-15800
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W1977973178
Cited by
509
References
1
FWCI
9.53
Type
journal article
Language
en
Open access
closed

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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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