Can I read Deconvolution of Molecular Weight Distributions Using Dynamic Flory-Schulz Distributions on EtoBox?

Deconvolution of Molecular Weight Distributions Using Dynamic Flory-Schulz Distributions by Montserrat Fortuny; Márcio Nele; Príamo A. Melo; José Carlos Pinto is a Materials Science article available to read on EtoBox.

What is Deconvolution of Molecular Weight Distributions Using Dynamic Flory-Schulz Distributions about?

## Abstract **Summary:** The deconvolution of molecular weight distributions (MWDs) may be useful for obtaining information about the polymerization kinetics and properties of catalytic systems. However, deconvolution techniques are normally based on steady‐state assumptions and very little has been reported about the use of non‐stationary approaches for the deconvolution of MWDs. In spite of this, polymerization reactions are often performed in batch or semi‐batch modes. For this reason, dynamic solutions are proposed here for simple kinetic models and are then used for deconvolution of actual MWD data. Deconvolution results obtained with dynamic models are compared to deconvolution results obtained with the standard stationary Flory‐Schulz distributions. For coordination polymerizations, results show that dynamic MWD models are able to describe experimental data with fewer catalytic sites, which indicates that the proper interpretation of the reaction dynamics may be of fundamental importance for kinetic characterization. On the other hand, reaction dynamics induced by modification of chain transfer agent concentration seem to play a minor role in the shape of the MWD in free‐rad

Who reads Deconvolution of Molecular Weight Distributions Using Dynamic Flory-Schulz Distributions?

Author

Montserrat Fortuny; Márcio Nele; Príamo A. Melo; José Carlos Pinto

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Ltd.; Wiley (ISSN 1022-1344)

Published

2004

Language

EN

Field

Materials Science (Physical Sciences)