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Electronic Energy Transfer in Polarizable Heterogeneous Environments:a Systematic Investigation of Different Quantum Chemical Approaches

机译:极化异质环境中的电子能量转移:不同量子化学方法的系统研究

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摘要

Theoretical prediction of transport and optical properties of protein-pigment complexes is of significant importance when aiming at understanding the structure versus function relationship in such systems.Electronic energy transfer (EET) couplings represent a key property in this respect since such couplings provide important insight into the strength of interaction between photo-active pigments in protein-pigment complexes.Recently, attention has been payed to how the environment modifies or even controls the electronic couplings.To enable such theoretical predictions, a fully polarizable embedding model has been suggested (C. Curutchet, A. Muñoz-Losa, S. Monti, J. Kongsted, G. D. Scholes, and B. Mennucci, J. Chem. Theory Comput., 2009 5 (7), 1838-1848).In this work, we further develop this computational model by extending it with an ab initio derived polarizable force field including higher-order multipole moments.We use this extended model to systematically examine three different ways of obtaining EET couplings in a heterogeneous medium ranging from use of the exact transition density to a point-dipole approximation.Several interesting observations are made including that explicit use of transition densities in the calculation of the electronic couplings - also when including the explicit environment contribution - can be replaced by a much simpler transition point charge description without comprising the quality of the model predictions.
机译:蛋白质-色素复合物的输运和光学性质的理论预测在理解此类系统中结构与功能之间的关系时非常重要。电子能量传递(EET)偶联在这方面具有关键作用,因为此类偶联为深入了解最近,人们已经注意到环境如何修饰甚至控制电子偶合。为实现这样的理论预测,已经提出了一种完全可极化的嵌入模型(C. Curutchet,A。Muñoz-Losa,S。Monti,J。Kongsted,GD Scholes和B. Mennucci,J。Chem。Theory Comput。,2009 5(7),1838-1848)。在这项工作中,我们将进一步发展通过从头算得出的包括高阶多极矩的可极化力场扩展该计算模型。我们使用此扩展模型系统地检查了三个不同的w可以在非均质介质中获得EET耦合,包括使用精确的跃迁密度到点-偶极近似。进行了许多有趣的观察,包括在电子耦合的计算中明确使用跃迁密度-包括明确的环境在内贡献-可以用更简单的过渡点收费说明代替,而无需考虑模型预测的质量。

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