The MADPY project has officially come to a close, delivering predictive models that support the design and scale-up of chemical recycling technologies for polyolefin waste. From polystyrene to polyethylene and polypropylene, the project explored how plastic packaging breaks down at high temperatures, and how this process can be made cleaner, more efficient and scalable.
Through a combination of experimental research, kinetic Monte Carlo modelling and AI-supported optimisation, MADPY produced scientifically robust tools that can inform the next generation of recycling systems.
We warmly congratulate Dr. Onur Dogu and Dr. Robert Conka on finishing their postdoctoral research on the MADPY project and would like to thank them for their high-quality work.
MADPY is a clear example of how academic research can help unlock industrial innovation. Its outcomes contribute to Europe’s wider ambition for a circular, climate-resilient plastics economy.
Related publication
Advancing polyethylene pyrolysis kinetics: a tree‑based kinetic Monte Carlo approach with Bayesian optimisation (2025) – View publication on biblio.ugent.be.
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