Self-Driving Labs for Data-Driven Design of Polymer Dispersions. This project aims at designing a self-driving autonomous lab that will enable continuous high-throughput synthesis of polymer emulsions

Description

Self-Driving Labs for Data-Driven Design of Polymer Dispersions. This project aims at designing a self-driving autonomous lab that will enable continuous high-throughput synthesis of polymer emulsions, significantly accelerating capacity and enabling high volume and precise data generation. In conjunction with robotic performance evaluation, the project expects to use machine learning to rapidly optimise emulsion polymerisation towards greener paint formulations. An expected outcome of the research will be a much more rational design of materials based on holistic large data sets, revolutionising materials development and delivering a significant competitive advantage to Australian industry by transformation of traditional chemical research and development into a fully data-driven digitalised domain.. Scheme: Linkage Projects. Field: 3403 - Macromolecular and Materials Chemistry. Lead: Prof Dr Tanja Junkers