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A predictive framework for mixing low dispersity polymer samples to design custom molecular weight distributions

Polymer Chemistry, ISSN: 1759-9962, Vol: 10, Issue: 42, Page: 5721-5725
2019
  • 41
    Citations
  • 0
    Usage
  • 16
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    41
    • Citation Indexes
      41
  • Captures
    16

Article Description

The physical properties of polymer samples are dependent on the overall shape and breadth of the molecular weight distribution (MWD). A small number of methods are available to tune the shape and characteristics of MWDs based on influencing controlled radical polymerizations and mixing individual distributions. However, no systematic framework exists to date to predict the characteristics and shapes of artificial MWDs prior to the experiments. In this work we present such a framework based on the interpolation of individual distributions.

Bibliographic Details

Maarten Rubens; Tanja Junkers

Royal Society of Chemistry (RSC)

Chemical Engineering; Biochemistry, Genetics and Molecular Biology; Materials Science; Chemistry

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