A Vibronic Coupling Model to Study the Nonadiabatic Dynamics of Polyenes
Timothy N. Georges, Louis Summerley, Johan E. Runeson, William Barford
TL;DR
This study builds a two-state linear vibronic coupling model for polyenes from an extended Hubbard-Peierls Hamiltonian and benchmarks four quantum-classical dynamics methods against fully quantum SILP for trans-hexatriene. The analysis shows that surface-hopping approaches capture ultrafast nonadiabatic dynamics better than multi-trajectory Ehrenfest but all fail to reproduce the long-time quantum oscillations seen in SILP, with surface hopping tending to overestimate internal conversion. A parameter-scan reveals consistent trends: increasing the energy gap reduces transfer, while stronger intra-state coupling or stiffer modes shift crossing points and modulate population outcomes; MTE can align with SILP in some parameter regimes, whereas INT-FSSH and MASH track trends more robustly but still miss oscillatory details. The framework provides a scalable route to study larger polyenes and carotenoids by combining DMRG-derived surfaces with LVC dynamics, and outlines future work to include more electronic states and torsional modes for lycopene and zeaxanthin and to validate reduced-dimensional models against full quantum results.
Abstract
We develop a linear vibronic coupling (LVC) model for polyenes described by the extended Hubbard-Peierls Hamiltonian. This model is applied to trans-hexatriene to benchmark quantum-classical dynamics methods against fully quantum simulations. We find that surface-hopping methods describe short times more accurately than multi-trajectory Ehrenfest. No quantum-classical method obtains the long-time population oscillations found in fully quantum simulations. Varying the parameters of the LVC Hamiltonian, surface hopping reproduces the correct trends in the long-time dynamics across a wide range of parameters, but generally overestimates the degree of internal conversion. On the other hand, multi-trajectory Ehrenfest gives more accurate long-time populations in proximity to the hexatriene parameter set.
