Mesoscopic Simulation of Dispersed Copolymers: Effects of Chain Length, Chemical Composition, and Block Length Distributions on Self‐Assembly

Abstract Polymer materials are normally constituted by chains of different sizes and compositions due to the stochastic nature of most polymerization mechanisms. For this reason, dissipative particle dynamics (DPD) simulations are carried out in the present work to investigate the effect of chain length distribution (CLD), chemical composition distribution (CCD), and block length distribution (BLD) on the process of self‐assembly of diblock copolymers. Flory and Poisson distributions are used to study CLD and BLD effects and bidispersed distributions are used for the study of CCD effects. Visual inspection and the static structure factorS(q) are used to evaluate the obtained structures. The results show that high dispersion in the CCD and different levels of dispersion in the BLDs of different components of the system increase the sizes of the segregated domains and decisively affect the structure and the purity of the formed mesophases.