Literature DB >> 27414465

An insight into polymerization-induced self-assembly by dissipative particle dynamics simulation.

Feng Huang1, Yisheng Lv, Liquan Wang, Pengxiang Xu, Jiaping Lin, Shaoliang Lin.   

Abstract

Polymerization-induced self-assembly is a one-pot route to produce concentrated dispersions of block copolymer nano-objects. Herein, dissipative particle dynamics simulations with a reaction model were employed to investigate the behaviors of polymerization-induced self-assembly. The polymerization kinetics in the polymerization-induced self-assembly were analyzed by comparing with solution polymerization. It was found that the polymerization rate enhances in the initial stage and decreases in the later stage. In addition, the effects of polymerization rate, length of macromolecular initiators, and concentration on the aggregate morphologies and formation pathway were studied. The polymerization rate and the length of the macromolecular initiators are found to have a marked influence on the pathway of the aggregate formations and the final structures. Morphology diagrams were mapped correspondingly. A comparison between simulation results and experimental findings is also made and an agreement is shown. This work can enrich our knowledge about polymerization-induced self-assembly.

Entities:  

Year:  2016        PMID: 27414465     DOI: 10.1039/c6sm00912c

Source DB:  PubMed          Journal:  Soft Matter        ISSN: 1744-683X            Impact factor:   3.679


  2 in total

1.  Phase Diagram for Ideal Diblock-Copolymer Micelles Compared to Polymerization-Induced Self Assembly.

Authors:  Alexey A Gavrilov; Ruslan M Shupanov; Alexander V Chertovich
Journal:  Polymers (Basel)       Date:  2020-11-05       Impact factor: 4.329

2.  In situ SAXS studies of a prototypical RAFT aqueous dispersion polymerization formulation: monitoring the evolution in copolymer morphology during polymerization-induced self-assembly.

Authors:  Adam Czajka; Steven P Armes
Journal:  Chem Sci       Date:  2020-09-18       Impact factor: 9.825

  2 in total

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