This GitHub repository contains Jupyter notebooks to illustrate various aspects of polymerization reactions and the mathematical and computational methods used to model and analyze them. They are suitable for self-learning as well as for classroom instruction.
The notebooks cover the following topics:
- Methods for solving dynamic models and population balance equations.
- Monte Carlo methods.
- Step-growth (de)polymerization.
- Radical polymerization.
- Living polymerization.
- Radical copolymerization.
To run the tutorials, you may use one of two methods:
-
Google Colab — The notebooks can be opened directly from the source code repository ("File -> Open notebook -> GitHub -> URL") using the following repo name:
HugoMVale/Polymer-Reaction-Engineering-Lectures. This method requires a Google account. -
Local environment — Alternatively, you may clone or download this repository to your local machine. This method requires a local Python installation as well as the packages listed in
requirements.txt.
Contributions and improvements to these lectures are welcome. If you have any suggestions, corrections, or additional materials that could enhance the learning experience, please consider submitting a pull request.
This project is provided under the very permissive MIT License.
We hope these lectures and materials provide a valuable resource for your journey into the world of (de)polymerization reaction modeling. Happy learning!