SOURCE-LINKED INTELLIGENCE

A process discovery lab for circular carbon chemicals

CORDIS · observation · Publication date unknown

d modelling will be coupled with automated microfluidic spectroscopy experiments in a closed-loop workflow to discover recycling processes for mixed plastic wastes. Thermodynamic models combined with machine learning will predict poorly specified waste mixtures and quantify uncertainty, while targeted automated experiments will refine models and validate the discovered process. The multi-scale approach will ensure that the identified solvent-based recycling process aligns with current and future supply chains, enabling a chemical industry operating within the planetary boundaries. The outcome will be a validated solvent-based recycling process for high-value engineering plastics, ready for scale-up. Beyond, DISC3LAB will deliver a generalizable methodology for the autonomous discovery of chemical processes, accelerating the transition towards a circular chemical industry based on waste, biomass, and CO2. sustainable chemicals, plastic recycling, process design, self-driving lab, machine learning, circular economy

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recordType

award

status

SIGNED

region

EU

value

2499446

unit

EUR