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

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Abstract

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.

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

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Publication details

The article was received on 09 Jul 2019, accepted on 07 Oct 2019 and first published on 08 Oct 2019


Article type: Communication
DOI: 10.1039/C9PY01012B
Polym. Chem., 2019, Advance Article

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

    M. Rubens and T. Junkers, Polym. Chem., 2019, Advance Article , DOI: 10.1039/C9PY01012B

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