In this tutorial review, we present some effective methodologies available for the simulation of vibrational and vibrationally resolved electronic spectra of medium-to-large molecules. They have been integrated into a unified platform and extended to support a wide range of spectroscopies.The resulting tool is particularly useful in assisting the extensive characterization of molecules, often achieved by combining multiple types of measurements. A correct assessment of the reliability of theoretical calculations is a necessary prelude to the interpretation of their results. For this reason, the key concepts of the underlying theories will be first presented and then illustrated through the study of thiophene and its smallest oligomer, bithiophene. While doing so, a complete computational protocol will be detailed, with emphasis on the strengths and potential shortcomings of the models employed here. Guidelines are also provided for performing similar studies on different molecular systems, with comments on the more common pitfalls and ways to overcome them. Finally, extensions to other cases, like chiral spectroscopies or mixtures, are also discussed.
K E Y W O R D Sanharmonic vibrational spectroscopy, computational spectroscopy, large amplitude motion, medium-to-large molecules, vibronic spectroscopy
| I N T R O D U C T I O NMolecular properties are commonly probed with a wide panel of spectroscopies, which can be combined to offer a unique picture, reflection of the property, its environment, and the experimental conditions. [1][2][3][4][5][6][7][8] The wealth of information contained in the recorded spectrum or spectra can become complex to analyze in a purely phenomenological way and theoretical models can provide a valuable aid in understanding the origin of the features observed in the band-shapes. [9][10][11] As a matter of fact, the predictive and interpretative power of computational spectroscopy has been clearly demonstrated already for small molecular systems in the gas phase, by comparison with the most sophisticated experimental techniques. [1,[12][13][14] However, depending on the target system and the required accuracy, the theoretical spectroscopic models can vary greatly in complexity. The situation is even more challenging when considering their actual implementation, often done in ad hoc, standalone programs, whose levels of completion, versatility and ease of use may be very different. As a result, getting an extensive picture of the experimental spectra can become a challenge as it may require multiple packages with their own usage and peculiarities.Hence, to facilitate the simulation and interpretation of multiple spectra, several conditions need to be met. A first challenge is to provide a simple interface, lowering the barrier to the broad adoption of state-of-the-art methods able to produce accurate data for the problems at hand. [11,[15][16][17] This can be achieved by automatizing most aspects of the calculations. Due to the inherent complexity of some theoretical models, such ...