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Bloch-Redfield equations for modeling light-harvesting complexes

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Title: Bloch-Redfield equations for modeling light-harvesting complexes
Authors: Jeske, J
Ing, DJ
Plenio, MB
Huelga, SF
Cole, JH
Item Type: Journal Article
Abstract: We challenge the misconception that Bloch-Redfield equations are a less powerful tool than phenomenological Lindblad equations for modeling exciton transport in photosynthetic complexes. This view predominantly originates from an indiscriminate use of the secular approximation. We provide a detailed description of how to model both coherent oscillations and several types of noise, giving explicit examples. All issues with non-positivity are overcome by a consistent straightforward physical noise model. Herein also lies the strength of the Bloch-Redfield approach because it facilitates the analysis of noise-effects by linking them back to physical parameters of the noise environment. This includes temporal and spatial correlations and the strength and type of interaction between the noise and the system of interest. Finally, we analyze a prototypical dimer system as well as a 7-site Fenna-Matthews-Olson complex in regards to spatial correlation length of the noise, noise strength, temperature, and their connection to the transfer time and transfer probability.
Issue Date: 14-Feb-2015
Date of Acceptance: 21-Jan-2015
URI: http://hdl.handle.net/10044/1/25397
DOI: https://dx.doi.org/10.1063/1.4907370
ISSN: 1089-7690
Publisher: American Institute of Physics (AIP)
Journal / Book Title: Journal of Chemical Physics
Volume: 142
Issue: 6
Copyright Statement: Copyright © 2015 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in J. Chem. Phys. 142, 064104 (2015) and may be found at http://scitation.aip.org/content/aip/journal/jcp/142/6/10.1063/1.4907370
Publication Status: Published
Appears in Collections:Quantum Optics and Laser Science
Physics
Faculty of Natural Sciences



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