We developed a dynamic Monte Carlo model for ATRP in semibatch reactors. Semibatch reactors can be used to produce gradient copolymers even if the difference between the reactivity ratios of the comonomers is not significant by using different comonomer feed policies. The model was used to predict average molecular weights, polydispersity index, copolymer composition and complete distributions of molecular weight, chemical composition, and comonomer sequence length at any polymerization time. Two case studies, poly[styrene‐co‐(methyl methacrylate)] and poly[acrylonitrile‐co‐(methyl methacrylate)], were chosen to demonstrate the effect of comonomer feed compositions on the final chemical composition distribution of the copolymer.
Cover: The figure illustrates a modeling approach to atom transfer radical copolymerization in a semibatch reactor using dynamic Monte Carlo simulations, and reveals a glimpse of the vast results presented in our article. Dynamic Monte Carlo simulation presents a myriad of results with accuracy, lesser computation time and with ease in programming. Further details can be found in the article
An easy one pot method is demonstrated for the controlled periodical surface coating of polyethylene over multiwalled carbon nanotubes (MWCNT) by insitu polymerization of ethylene using highly active metallocene catalysts (Cp 2 ZrCl 2 and Cp 2 TiCl 2 ) in combination with methylalumoxane. The crystallinity of the nanocomposite was increased and its morphology could be tuned from "sausage" like to "shish-kebab" in the presence of CNT depending on the experimental condition and choice of metal atom.
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