Irreversible Step-Growth Polymerization with weighted dynamic network

TL;DR

This paper models irreversible step-growth polymerization using a weighted dynamic network approach, extending previous models by incorporating different bond types with distinct reaction rates.

Contribution

It generalizes existing random graph models for polymerization by including weighted bonds representing various reaction rates.

Findings

Developed a weighted dynamic network model for polymerization.

Extended previous models to include multiple bond types.

Provided insights into the effects of bond heterogeneity on polymer growth.

Abstract

This paper considers random graph approach to simulate irreversible step-growth polymerization. We study generalization of approach developed by Kryven~I. by introducing different types of bonds each with its own weight representing corresponding reaction rate.