Optimization of exciton currents in photosynthetic systems

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 densi...

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Main Authors: Guan, Chengbo, Wu, Ning, Zhao, Yang
Other Authors: School of Materials Science & Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/95792
http://hdl.handle.net/10220/10001
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-957922023-07-14T15:45:29Z Optimization of exciton currents in photosynthetic systems Guan, Chengbo Wu, Ning Zhao, Yang School of Materials Science & Engineering DRNTU::Science::Physics 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. Published version 2013-05-27T07:37:09Z 2019-12-06T19:21:40Z 2013-05-27T07:37:09Z 2019-12-06T19:21:40Z 2013 2013 Journal Article Guan, C., Wu, N., & Zhao, Y. (2013). Optimization of exciton currents in photosynthetic systems. The Journal of Chemical Physics, 138(11). https://hdl.handle.net/10356/95792 http://hdl.handle.net/10220/10001 10.1063/1.4795204 en The journal of chemical physics © 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. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Physics
spellingShingle DRNTU::Science::Physics
Guan, Chengbo
Wu, Ning
Zhao, Yang
Optimization of exciton currents in photosynthetic systems
description 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.
author2 School of Materials Science & Engineering
author_facet School of Materials Science & Engineering
Guan, Chengbo
Wu, Ning
Zhao, Yang
format Article
author Guan, Chengbo
Wu, Ning
Zhao, Yang
author_sort Guan, Chengbo
title Optimization of exciton currents in photosynthetic systems
title_short Optimization of exciton currents in photosynthetic systems
title_full Optimization of exciton currents in photosynthetic systems
title_fullStr Optimization of exciton currents in photosynthetic systems
title_full_unstemmed Optimization of exciton currents in photosynthetic systems
title_sort optimization of exciton currents in photosynthetic systems
publishDate 2013
url https://hdl.handle.net/10356/95792
http://hdl.handle.net/10220/10001
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