Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/95792
Title: Optimization of exciton currents in photosynthetic systems
Authors: Guan, Chengbo
Wu, Ning
Zhao, Yang
Keywords: DRNTU::Science::Physics
Issue Date: 2013
Source: Guan, C., Wu, N., & Zhao, Y. (2013). Optimization of exciton currents in photosynthetic systems. The Journal of Chemical Physics, 138(11).
Series/Report no.: The journal of chemical physics
Abstract: In an approach analogous to that used to treat electronic currents in semiconductor quantum dots, we investigate the exciton current in a pigment network that is sandwiched between two exciton reservoirs, also known as the emitter and the acceptor. Employing the master equation for the reduced density matrix, the exciton current is obtained analytically for a two-site model, and numerically for an eight-site Fenna-Matthews-Olson (FMO) subunit model. It is found that, to maximize the exciton current with a specific network configuration, there exist optimal emitter temperatures and exciton transfer rates between the network and the reservoirs. The steady state current in the FMO model is consistent with the trapping time calculated by network optimization in the one-exciton picture. The current optimization with respect to various control parameters is discussed for the FMO model. At and below the biologically relevant transfer rate 1 ps−1, the FMO network is more efficient for excitation energy transfer than the two-site model. Beyond this scale, the FMO network shows robustness with respect to the interplay with the reservoirs.
URI: https://hdl.handle.net/10356/95792
http://hdl.handle.net/10220/10001
DOI: 10.1063/1.4795204
Rights: © 2013 American Institute of Physics. This paper was published in The Journal of Chemical Physics and is made available as an electronic reprint (preprint) with permission of American Institute of Physics. The paper can be found at the following official DOI: [http://dx.doi.org/10.1063/1.4795204].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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