Department of Chemistry, Princeton University , Princeton, New Jersey 08544, United States.
Department of Physical Science, Southern Utah University , Cedar City, Utah 84720, United States.
Acc Chem Res. 2017 Nov 21;50(11):2746-2755. doi: 10.1021/acs.accounts.7b00369. Epub 2017 Oct 18.
The role of coherences, or coherently excited superposition states, in complex condensed-phase systems has been the topic of intense interest and debate for a number of years. In many cases, coherences have been utilized as spectators of ultrafast dynamics or for identifying couplings between electronic states. In rare cases, they have been found to drive excited state dynamics directly. Interestingly though, the utilization of coherences as a tool for high-detail vibronic spectroscopy has largely been overlooked until recently, despite their encoding of key information regarding molecular structure, electronically sensitive vibrational modes, and intermolecular interactions. Furthermore, their detection in the time domain makes for a highly comprehensive spectroscopic technique wherein the phase and dephasing times are extracted in addition to amplitude and intensity, an element not afforded in analogous frequency domain "steady-state" measurements. However, practical limitations arise in disentangling the large number of coherent signals typically accessed in broadband nonlinear spectroscopic experiments, often complicating assignment of the origin and type of coherences generated. Two-dimensional electronic spectroscopy (2DES) affords an avenue by which to disperse and decompose the large number of coherent signals generated in nonlinear experiments, facilitating the assignment of various types of quantum coherences. 2DES takes advantage of the broad bandwidth necessary for achieving the high time resolution desired for ultrafast dynamics and coherence generation by resolving the excitation axis to detect all excitation channels independently. This feature is beneficial for following population dynamics such as electronic energy transfer, and 2DES has become the choice method for such studies. Simultaneously, coherences arise as oscillations at well-defined coordinates across the 2D map often atop those evolving population signals. By isolating the coherent contribution to the 2DES data and Fourier transforming along the population time, a 3D spectral representation of the coherent 2D data is generated, and coherences are then ordered by their oscillation frequency, ν. Individual coherences can then be selected by their frequency and evaluated via their distinct "2D coherence" spectra, yielding a significantly more distinctive set of spectroscopic signatures over other 1D methodologies and single-point 2DES analysis. Given that coherences of different origin result in unique 2D coherence spectra, these characteristics can be catalogued and compared directly against experiment for prompt assignment, a strategy not afforded by traditional 2DES analysis. In this Account, a structure-driven time-independent spectral model is discussed and employed to compare the 2D fingerprints of various coherences to experimental 2D coherence spectra. The frequency-domain approach can easily integrate ab initio derived vibronic parameters, and its correspondence with experimental coherence spectra of a model compound is demonstrated. Several examples and applications are discussed herein, from 2D Franck-Condon analysis of a model compound, to identifying the signatures of interpigment vibronic coupling in a photosynthetic light-harvesting complex. The 3D spectral approach to 2DES provides remarkable spectroscopic detail, in turn leading to new insights in molecular structure and interactions, which complement the time-resolved dynamics simultaneously recorded. The approach presented herein has the potential to distill down the convoluted set of nonlinear signals appearing in 2D coherent spectra, making the technique more amenable to high-detail vibronic spectroscopy in inherently complex condensed phase systems.
在复杂的凝聚相系统中,相干或相干激发的叠加态的作用一直是人们关注和争论的焦点。在许多情况下,相干被用作超快动力学的“旁观者”,或者用于识别电子态之间的耦合。在极少数情况下,人们发现相干直接驱动激发态动力学。有趣的是,尽管相干在高细节的振动态光谱学中具有关键信息的编码,涉及分子结构、电子敏感振动模式和分子间相互作用,但直到最近,它作为一种工具的应用在很大程度上被忽视了。此外,相干在时域中的检测提供了一种高度综合的光谱技术,其中除了幅度和强度之外,还提取相位和去相位时间,这是在类似的频域“稳态”测量中无法实现的。然而,在分离宽带非线性光谱实验中通常获得的大量相干信号方面存在实际限制,这通常会使生成的相干的起源和类型的分配复杂化。二维电子光谱(2DES)提供了一种途径,可以通过展开和分解非线性实验中产生的大量相干信号,从而有助于分配各种类型的量子相干。2DES 利用实现超快动力学和相干生成所需的高时间分辨率所需的宽带宽来解析激发轴,从而独立检测所有激发通道。这个特征对于跟踪人口动态很有好处,例如电子能量转移,并且 2DES 已经成为此类研究的首选方法。同时,相干作为在二维图谱中定义良好的坐标上的振荡出现,通常在那些演化的人口信号之上。通过将相干对 2DES 数据的贡献隔离并沿人口时间进行傅里叶变换,生成相干二维数据的 3D 光谱表示,然后根据其振荡频率 ν 对相干进行排序。然后可以通过其独特的“2D 相干”光谱选择单个相干,并对其进行评估,从而产生比其他 1D 方法和单点 2DES 分析更具特色的一组光谱特征。鉴于不同来源的相干会导致独特的 2D 相干光谱,因此可以直接对这些特征进行编目并与实验进行比较,从而快速进行分配,这是传统 2DES 分析无法实现的策略。在本报告中,讨论并采用了一种基于结构的非时变光谱模型,以将各种相干的二维指纹与实验 2D 相干光谱进行比较。频域方法可以轻松集成从头算得出的振动态参数,并且已经证明了其与模型化合物的实验相干光谱的对应关系。本文讨论了几个示例和应用,从模型化合物的二维 Franck-Condon 分析,到识别光合光捕获复合物中色素间振动态耦合的特征。2DES 的 3D 光谱方法提供了显著的光谱细节,从而在同时记录的分子结构和相互作用方面提供了新的见解。所提出的方法有可能简化出现在二维相干光谱中的复杂非线性信号集,从而使该技术更适用于固有复杂凝聚相系统中的高细节振动态光谱学。