SOURCE-LINKED INTELLIGENCE
Multiscale investigations of polymer hydrocracking on bifunctional catalysts for plastic waste valorisation
l, and then the activity, selectivity, stability, and yield of the bifunctional hydrocracking process will be predicted under relevant reaction conditions. To deliver this, density functional theory, machine learning, and kinetic Monte Carlo methods will be integrated into the workflow. The methodology will be validated by pioneering studies and experimental analyses from project collaborators. The project’s outcomes will address challenges in plastic waste valorisation, providing guidance to experimentalists and engineers working in plastic upcycling. Hydrocracking,Polymer Upcycle,Kinetic modelling,Multiscale Computing,Chemical reaction engineering,Kinetic Monte Carlo,Density functional theory,Process systems engineering
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 276187.92
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.