Department of Inorganic and Physical Chemistry, Indian Institute of Science , Bangalore 560012, India.
J Phys Chem A. 2013 Sep 12;117(36):8806-13. doi: 10.1021/jp4045463. Epub 2013 Jul 9.
We have recently suggested a method (Pallavi Bhattacharyya and K. L. Sebastian, Physical Review E 2013, 87, 062712) for the analysis of coherence in finite-level systems that are coupled to the surroundings and used it to study the process of energy transfer in the Fenna-Matthews-Olson (FMO) complex. The method makes use of adiabatic eigenstates of the Hamiltonian, with a subsequent transformation of the Hamiltonian into a form where the terms responsible for decoherence and population relaxation could be separated out at the lowest order. Thus one can account for decoherence nonperturbatively, and a Markovian type of master equation could be used for evaluating the population relaxation. In this paper, we apply this method to a two-level system as well as to a seven-level system. Comparisons with exact numerical results show that the method works quite well and is in good agreement with numerical calculations. The technique can be applied with ease to systems with larger numbers of levels as well. We also investigate how the presence of correlations among the bath degrees of freedom of the different bacteriochlorophyll a molecules of the FMO Complex affect the rate of energy transfer. Surprisingly, in the cases that we studied, our calculations suggest that the presence of anticorrelations, in contrast to correlations, make the excitation transfer more facile.
我们最近提出了一种方法(Pallavi Bhattacharyya 和 K. L. Sebastian,Physical Review E 2013,87,062712),用于分析与环境耦合的有限能级系统的相干性,并将其用于研究 Fenna-Matthews-Olson(FMO)复合物中的能量转移过程。该方法利用哈密顿量的绝热本征态,并对哈密顿量进行变换,以便在最低阶分离出导致退相干和粒子数弛豫的项。因此,可以非微扰地考虑退相干,并且可以使用马科夫型主方程来评估粒子数弛豫。在本文中,我们将该方法应用于一个两能级系统和一个七能级系统。与精确数值结果的比较表明,该方法效果很好,与数值计算吻合得很好。该技术也可以轻松应用于具有更多能级的系统。我们还研究了 FMO 复合物中不同细菌叶绿素 a 分子的环境自由度之间的相关性如何影响能量转移速率。令人惊讶的是,在我们研究的情况下,我们的计算表明,与相关性相反,反相关性使激发转移更加容易。