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Cited by 1,191

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Long-Range Resonance Energy Transfer in Molecular Systems

Scholes, Gregory D.·2003·Annual Review of Physical Chemistry

Abstract

▪ Abstract The current state of understanding of molecular resonance energy transfer (RET) and recent developments in the field are reviewed. The development of more general theoretical approaches has uncovered some new principles underlying RET processes. This review brings many of these important new concepts together into a generalization of Förster's original theory. The conclusions of studies investigating the various approximations in Förster theory are summarized. Areas of present and future activity are discussed. The review covers Förster theory for donor-acceptor pairs and electronic coupling for singlet-singlet, triplet-triplet, and superexchange-mediated energy transfer. This includes the transition density picture of Coulombic coupling as well as electronic coupling between molecular aggregates (excitons). Spectral overlaps and ensemble energy transfer rates in disordered aggregates, the role of dielectric properties of the medium, weak versus strong coupling, and new models for energy transfer in complex molecular assemblies are also described.

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Metadata

Authors
Scholes, G. D.
Venue
Annual Review of Physical Chemistry
Published
2003-10
Volume
54
Issue
1
Pages
57-87
ISSN
  • 0066-426X (ISSN-L)
  • 1545-1593
OpenAlex
W2097552134
Cited by
1,191
References
2
FWCI
2.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Long-Range Resonance Energy Transfer in Molecular Systems. https://app.cochat.ai/papers/10.1146/annurev.physchem.54.011002.103746
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Scholes, G. D. (2003). Long-Range Resonance Energy Transfer in Molecular Systems. Annual Review of Physical Chemistry. https://doi.org/10.1146/annurev.physchem.54.011002.103746

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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.