The MOSAIC project has advanced the state-of-the-art in computational modelling of the tunable optical, structural, and dynamical properties of π-conjugated polymers critical to organic optoelectronics. The most relevant scientific output are the detailed atomistic simulations of the photo-induced response in artificial light-harvesting molecular antennas, and the computation of their transient absorption pump–probe (TA-PP) spectra. The TA-PP spectra monitors energy relaxation and redistribution in real time, and provide a detailed microscopic picture of the relevant energy-transfer pathways. We believe this represents the first reported on-the-fly atomistic simulation of TA-PP signals for such a large molecular system. Our modelling shows that internal conversion processes are mediated by a specific set of middle- to high-frequency normal modes, which directly influence the spatial exciton redistribution along the polymer backbone.
Further results offer atomistic insight into the influence of quantum effects on observed spectra for hydrogen molecules in cage-like carbon nanostructures. We computed the temperature dependence of energy spectra of hydrogen molecules trapped in fullerene cages of varying size and geometry (Cn, n=24,28,60,70) within a wide range of thermodynamics conditions (i.e. from T=130K to T=320K), and we discussed the possible influence of these properties on the hydrogen storage capacity of these materials.
Furthermore, we developed and implemented the mapping of quantum dynamics onto classical-like dynamics in an extended phase space. This methodology was benchmarked for the photoinduced dissociative dynamics of the collinear van der Waals complex NeBr2(B,ν), which is challenging to access experimentally using modern pump-probe spectroscopy techniques. This novel approach will enable to perform efficient trajectory-based simulations of tunable exciton dynamics in more complex donor-acceptor architectures.
The project delivered a deeper knowledge on the properties of technologically relevant OCMs, which could be subsequently used to conceive more efficient nanoscale devices.