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Models for the Ideal Distribution of Polymers

Content Developed by Dr Dominik Konkolewicz, Madison Kearns and Colleen Morley

This set of codes models the chain length distribution of polymers made with reversible deactivation. This includes polymers made by cationic polymerization, reversible addition-fragmentation chain transfer (RAFT) and atom transfer radical polymerization (ATRP). The model uses MATLAB to solve for the chain length distribution. To fit a distribution and obtain ratios of propagation to deactivation rate coefficients and mean number of additions, you will need your polymers chain length distribution (or molecular weight distribution and molecular weight of one monomer), number averaged chain length and dispersity.

Ideal Polymer Distribution Codes

Ideal Polymer Distribution Codes Read Me

Original Equations developed in the manuscript: M. M. Kearns, C. N. Morley, K. Parkatzidis, R. Whitfield, A. D. Sponza, P. Chakma, N. De Alwis Watuthanthrige, M. Chiu, A. Anastasaki, and D. Konkolewicz ‘A general model for the ideal chain length distributions of polymers made with reversible deactivation’ Polymer Chemistry 2022, 13, 898 – 913,  DOI: 10.1039/D1PY01331A.

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If using this Models for the Ideal Distribution of Polymers Made with Reversible Deactivation in your research resulting in publication, MACRO asks that you acknowledge the template as follows.  “We acknowledge the Models for the Ideal Distribution of Polymers Made with Reversible Deactivation from the Konkolewicz group provided by the Macromolecular Alliance for Community Resources and Outreach.”

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