Surface-Initiated Polymerization with an Initiator Gradient: A Monte Carlo Simulation.

Due to the difficulty of accurately characterizing properties such as the molecular weight () and grafting density () of gradient brushes (GBs), these properties are traditionally assumed to be uniform in space to simplify analysis. Applying a stochastic reaction model (SRM) developed for heterogeneous polymerizations, we explored surface-initiated polymerizations (SIPs) with initiator gradients in lattice Monte Carlo simulations to examine this assumption. An initial exploration of SIPs with 'homogeneously' distributed initiators revealed that increasing slows down the polymerization process, resulting in polymers with lower molecular weight and larger dispersity () for a given reaction time. In SIPs with an initiator gradient, we observed that the properties of the polymers are position-dependent, with lower and larger in regions of higher , indicating the non-uniform properties of polymers in GBs. The results reveal a significant deviation in the scaling behavior of brush height with compared to experimental data and theoretical predictions, and this deviation is attributed to the non-uniform and .