Special Article Series - Feature Article
Prediction of Propagation Rate Coefficients in Free Radical Solution Polymerization Based on Accurate Quantum Chemical Methods: Vinylic and Related Monomers, Including Acrylates and Acrylic Acid
Article first published online: 18 NOV 2009
DOI: 10.1002/mren.200900034
Copyright © 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Additional Information
How to Cite
Deglmann, P., Müller, I., Becker, F., Schäfer, A., Hungenberg, K.-D. and Weiß, H. (2009), Prediction of Propagation Rate Coefficients in Free Radical Solution Polymerization Based on Accurate Quantum Chemical Methods: Vinylic and Related Monomers, Including Acrylates and Acrylic Acid. Macromolecular Reaction Engineering, 3: 496–515. doi: 10.1002/mren.200900034
Publication History
- Issue published online: 24 NOV 2009
- Article first published online: 18 NOV 2009
- Manuscript Revised: 7 AUG 2009
- Manuscript Received: 27 MAY 2009
Keywords:
- computer modeling;
- COSMO RS;
- coupled cluster;
- density functional theory;
- quantum chemistry
Graphical Abstract

Ab initio prediction of chemical rate coefficients is on the way to become a useful tool for polymer reaction engineering. A strategy is presented as to how the strict accuracy requirements for this application can be fulfilled by currently available quantum chemical methods. A comparison of computed results to reliable PLP data for radical propagation in solution polymerization is given.
Abstract
The simulation of polymerization processes is of enormous industrial importance. A quantum chemical method based on density functional theory is developed and validated that provides almost chemical accuracy for radical polymerization propagation of industrially relevant monomers in aqueous solution. The necessary corrections are computed using the CC level of theory. Solvent effects are accounted for by the solvation model COSMO-RS. The method is capable of reproducing and rationalizing, for example, monomer concentration effects on the propagation rate for NVP. A comparison is performed with recent PLP experimental data. The method does not rely on error compensation effects or empiric corrections and is suitable for industrially relevant systems.

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