2010/08/31 by Jianlan Wu, Fan Liu, Young Shen +4 · 4 citations
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Atomic physics #Computer science #Dephasing #Dissipative system #Energy transfer #Exciton #Master equation #Photosynthetic Processes and Mechanisms #Physics #Plant and animal studies #Quantum #Quantum mechanics #Spectroscopy and Quantum Chemical Studies #Stability (learning theory) #Statistical physics #Thermodynamics #physics.chem-ph #quant-ph
paper · pdf · doi:10.1088/1367-2630/12/10/105012
published as New Journal of Physics, 12, 105012 (2010)
arxiv created 2010/09/16 · openalex publication_date 2010/10/29 · arxiv updated 2011/09/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.