Molecular modeling and simulation of conjugated polymer oligomers: ground and excited state chain dynamics of PPV in the gas phase.
The ground and excited state dynamics of poly(p-phenylenevinylene) (PPV) chains is studied through an implementation of mixed quantum/classical molecular dynamics simulation. The model used in the simulations combines the semiempirical Pariser-Parr-Pople (PPP) Hamiltonian to treat the pi molecular electronic structure with a mechanical force field capturing all other aspects. Nuclear degrees of freedom are treated classically. We first validate the model by simulating PPV chains of various length, and evaluate the absorption spectra. The thermal disorder contribution to the breadth of the first absorption band is estimated to be 0.2 eV at T = 300 K. To investigate the relationship between the emission and chain conformation, we simulate an isolated ten unit chain of PPV in the ground and the lowest excited state. The emission spectrum, red-shifted with respect to absorption of about 0.2 eV as found in experiments, shows a structured line shape that we relate to the photoinduced CC bond distortions. In accord with earlier studies, the exciton self-traps in the middle of the chain. We introduce two collective variables that reflect geometrical distortion, and find these to be effective in describing the contribution of chain conformation to the emission spectrum. The collective variables are also shown to be effective in describing the bond relaxation dynamics after photoexcitation. Such a relaxation is found to occur in approximately 100 fs and is guided by a compensatory release of energy between the double and single bonds in the vinylene junctions and p-phenyl rings. Finally, we find that the chain has a very slight preference for a more planar conformation in the excited state, compared to the ground state. However, the thermal motions induce the chain to explore out-of-plane conformations in both the ground and the excited states with an amplitude significantly greater than this difference.
Sterpone
Fabio
F
Department of Chemistry and Biochemistry and Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas 78712, USA.
Rossky
Peter J
PJ