| Literature DB >> 31968694 |
Barbara Patrizi1,2, Concetta Cozza3, Adriana Pietropaolo3, Paolo Foggi1,2,4, Mario Siciliani de Cumis5.
Abstract
The comprehensive characterization of Intramolecular Charge Transfer (ICT) stemming in push-pull molecules with a delocalized π-system of electrons is noteworthy for a bespoke design of organic materials, spanning widespread applications from photovoltaics to nanomedicine imaging devices. Photo-induced ICT is characterized by structural reorganizations, which allows the molecule to adapt to the new electronic density distribution. Herein, we discuss recent photophysical advances combined with recent progresses in the computational chemistry of photoactive molecular ensembles. We focus the discussion on femtosecond Transient Absorption Spectroscopy (TAS) enabling us to follow the transition from a Locally Excited (LE) state to the ICT and to understand how the environment polarity influences radiative and non-radiative decay mechanisms. In many cases, the charge transfer transition is accompanied by structural rearrangements, such as the twisting or molecule planarization. The possibility of an accurate prediction of the charge-transfer occurring in complex molecules and molecular materials represents an enormous advantage in guiding new molecular and materials design. We briefly report on recent advances in ultrafast multidimensional spectroscopy, in particular, Two-Dimensional Electronic Spectroscopy (2DES), in unraveling the ICT nature of push-pull molecular systems. A theoretical description at the atomistic level of photo-induced molecular transitions can predict with reasonable accuracy the properties of photoactive molecules. In this framework, the review includes a discussion on the advances from simulation and modeling, which have provided, over the years, significant information on photoexcitation, emission, charge-transport, and decay pathways. Density Functional Theory (DFT) coupled with the Time-Dependent (TD) framework can describe electronic properties and dynamics for a limited system size. More recently, Machine Learning (ML) or deep learning approaches, as well as free-energy simulations containing excited state potentials, can speed up the calculations with transferable accuracy to more complex molecules with extended system size. A perspective on combining ultrafast spectroscopy with molecular simulations is foreseen for optimizing the design of photoactive compounds with tunable properties.Entities:
Keywords: DFT; ICT; TD-DFT; machine learning; molecular simulations; push-pull molecules; transient absorption spectroscopy; two-dimensional electronic spectroscopy; ultrafast spectroscopy
Year: 2020 PMID: 31968694 PMCID: PMC7024558 DOI: 10.3390/molecules25020430
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1Scheme depicting the evolution of the Intramolecular Charge Transfer (ICT) in push-pull molecules. S0 is represented by the black curve located at the bottom. (a) Vertical excitation from S0 to a Locally-Excited S1 state (S1LE). (b) ICT from S1LE to an unrelaxed S1ICT state. (c) The unrelaxed S1ICT state can be stabilized by geometrical rearrangements (PICT or TICT) and by solvation. (d) Decay of S1ICT state through fluorescence emission. (e) Inter System Crossing (ISC) from S1ICT state to a Triplet state (T1). (f) Relaxation of T1 state to S0.
Figure 2Scheme of a typical Transient Absorption Spectroscopy (TAS) set-up.
Figure 3Molecular structures of push-pull systems analyzed in Section 2 with the relative references numbers. In the molecular structures of [28] R—dodecyl.
Figure 4Illustration of a 2D map. The signals are characterized by diagonal peaks and cross peaks with both positive (GSB and SE) and negative Photo-Induced Absorption (P-IA) signals.
Figure 5Timescale length governing the choice of the simulation technique used to predict a given chemical phenomenon. All the techniques can be in principle accelerated through learning methods, as machine or deep learning which includes neural networks, reported in the figure.