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Controlling molecular weight distributions through the mixing of low dispersity polymer samples: a predictive framework

Abstract

The physical properties of polymer samples are dependent on the overal 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 on mixing of individual distributions. However, no systematic framework exists to date to predict the characteristics and shapes of artificial MWDs prior the experiments. In this work we present such framework based on interpolation of individual 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, Accepted Manuscript

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    Controlling molecular weight distributions through the mixing of low dispersity polymer samples: a predictive framework

    M. Rubens and T. Junkers, Polym. Chem., 2019, Accepted Manuscript , DOI: 10.1039/C9PY01012B

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