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Cited by 191

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Electron Transfer Rates in Bridged Molecular Systems: A Phenomenological Approach to Relaxation

Davis, William B., Wasielewski, Michael R., Ratner, Mark A., Mujica, Vladimiro, Nitzan, Abraham·1997·The Journal of Physical Chemistry A

Abstract

A model for bridge-assisted, long-range electron transfer in a molecule interacting with a dissipative external bath is presented. The effects of the system−bath interaction are included phenomenologically in the evolution of the system density matrix as energy dephasings on the bridge sites. When the bridge dephasings are small, the steady state ET rate in this model is found to be the sum of two competing terms; the first is a McConnell-type rate arising from direct tunneling from donor to acceptor, and the second is a dephasing-dependent, length-independent scattering channel through the bridge sites. In the limit of large dephasings, an incoherent channel dominates the dynamics and leads to ET rates that can become only weakly dependent ( k ET ∝ 1/ N ) on the number of bridge sites in the system, for multisite bridges.

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Metadata

Authors
Davis, W. B., Wasielewski, M. R., Ratner, M. A., Mujica, V., & Nitzan, A.
Venue
The Journal of Physical Chemistry A
Published
1997-08-01
Volume
101
Issue
35
Pages
6158-6164
ISSN
  • 1089-5639 (ISSN-L)
  • 1520-5215
OpenAlex
W2136705067
Cited by
191
References
5
FWCI
8.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electron Transfer Rates in Bridged Molecular Systems: A Phenomenological Approach to Relaxation. https://app.cochat.ai/papers/10.1021/jp970909c
The paper
Davis, W. B., Wasielewski, M. R., Ratner, M. A., Mujica, V., & Nitzan, A. (1997). Electron Transfer Rates in Bridged Molecular Systems: A Phenomenological Approach to Relaxation. The Journal of Physical Chemistry A. https://doi.org/10.1021/jp970909c

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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.