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Cited by 596

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

Cold controlled chemistry

Krems, R. V.·2008·Physical Chemistry Chemical Physics

Abstract

Collisions of molecules in a thermal gas are difficult to control. Thermal motion randomizes molecular encounters and diminishes the effects of external radiation or static electromagnetic fields on intermolecular interactions. The effects of the thermal motion can be reduced by cooling molecular gases to low temperatures. At temperatures near or below 1 K, the collision energy of molecules becomes less significant than perturbations due to external fields. At the same time, inelastic scattering and chemical reactions may be very efficient in low-temperature molecular gases. The purpose of this article is to demonstrate that collisions of molecules at temperatures below 1 K can be manipulated by external electromagnetic fields and to discuss possible applications of cold controlled chemistry. The discussion focuses on molecular interactions at cold (0.001-2 K) and ultracold (<0.001 K) temperatures and is based on both recent theoretical and experimental work. The article concludes with a summary of current challenges for theory and experiment in the research of cold molecules and cold chemistry.

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Metadata

Authors
Krems, R. V.
Venue
Physical Chemistry Chemical Physics
Published
2008
Volume
10
Issue
28
Pages
4079
ISSN
  • 1463-9076 (ISSN-L)
  • 1463-9084
OpenAlex
W2170381518
Cited by
596
References
1
FWCI
25.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cold controlled chemistry. https://app.cochat.ai/papers/10.1039/b802322k
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Krems, R. V. (2008). Cold controlled chemistry. Physical Chemistry Chemical Physics. https://doi.org/10.1039/b802322k

Data sources

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.