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Cited by 852

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Tilting a ground-state reactivity landscape by vibrational strong coupling

Open access
Thomas, A., Lethuillier-Karl, L., Nagarajan, K., Vergauwe, R. M. A., George, J., Chervy, T., Shalabney, A., Devaux, E., Genet, C., Moran, J., Ebbesen, T. W.·2019·Science

Abstract

Shaking up reaction-site selectivity: It seems intuitive that putting vibrational energy into a chemical bond ought to promote selective cleavage of that bond. In fact, the relation of vibrational excitation to reactivity has generally proven subtler and more complex. Thomas et al. studied how strong coupling of specific vibrational modes to an optical cavity might influence a molecule with two competing reactive sites. The molecule had two silicon centers that could react with fluoride by respective cleavage of a Si–C or Si–O bond. Exciting the vibrations at either center slowed down the overall reaction while favoring otherwise disfavored Si–O cleavage. Science , this issue p. 615

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Crossref · 10.1126/science.aau7742

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Metadata

Authors
Thomas, A., Lethuillier-Karl, L., Nagarajan, K., Vergauwe, R. M. A., George, J., Chervy, T., Shalabney, A., Devaux, E., Genet, C., Moran, J., & Ebbesen, T. W.
Venue
Science
Published
2019-02-08
Volume
363
Issue
6427
Pages
615-619
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2912574264
Cited by
852
References
33
FWCI
43.11
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tilting a ground-state reactivity landscape by vibrational strong coupling. https://app.cochat.ai/papers/10.1126/science.aau7742
The paper
Thomas, A., Lethuillier-Karl, L., Nagarajan, K., Vergauwe, R. M. A., George, J., Chervy, T., Shalabney, A., Devaux, E., Genet, C., Moran, J., & Ebbesen, T. W. (2019). Tilting a ground-state reactivity landscape by vibrational strong coupling. Science. https://doi.org/10.1126/science.aau7742

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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.