Efficient energy transfer in light-harvesting systems, I: optimal temperature, reorganization energy and spatial–temporal correlations
Name
Wu-2010-Efficient energy transfer in light-harvesting systems.pdf
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789.47 KB
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Checksum (MD5)
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Author(s)
Wu, Jianlan
Liu, Fan
Shen, Young
Cao, Jianshu
Silbey, Robert J.
Date Issued
October 2010
Journal
New Journal of Physics
Publisher
Institute of Physics Publishing
Citation
Wu, Jianlan et al. “Efficient Energy Transfer in Light-harvesting Systems, I: Optimal Temperature, Reorganization Energy and Spatial–temporal Correlations.” New Journal of Physics 12.10 (2010): 105012. Web.
Version
Final published version
Abstract
Understanding the mechanisms of efficient and robust energy transfer in light-harvesting systems provides new insights for the optimal design of artificial systems. In this paper, we use the Fenna–Matthews–Olson (FMO) protein complex and phycocyanin 645 (PC 645) to explore the general dependence on physical parameters that help maximize the efficiency and maintain its stability. With the Haken–Strobl model, the maximal energy transfer efficiency (ETE) is achieved under an intermediate optimal value of dephasing rate. To avoid the infinite temperature assumption in the Haken–Strobl model and the failure of the Redfield equation in predicting the Forster rate behavior, we use the generalized Bloch–Redfield (GBR) equation approach to correctly describe dissipative exciton dynamics, and we find that maximal ETE can be achieved under various physical conditions, including temperature, reorganization energy and spatial–temporal correlations in noise. We also identify regimes of reorganization energy where the ETE changes monotonically with temperature or spatial correlation and therefore cannot be optimized with respect to these two variables.
MIT Department
Massachusetts Institute of Technology. Department of Chemistry
Terms of Use
Creative Commons Attribution 3.0
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DOI of Published Version
https://doi.org/10.1088/1367-2630/12/10/105012
