Charles Daniel Gregory Dausse
Development of a continuous-flow based process for AI-guided polymer synthesis.
Rel. Carlo Ricciardi. Politecnico di Torino, Corso di laurea magistrale in Nanotechnologies For Icts (Nanotecnologie Per Le Ict), 2019
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Abstract
The need for reliable, rapid and precise polymer synthesis for therapeutic materials led to the democratization of flow chemistry in research labs. In this view, programmable high-throughput platform for scalable polymer synthesis has been improved. It comprises a web-based user interface, capable of controlling up to eight syringe pumps for flow chemistry. A database has been developed, aiming at storing large amounts of data about experimental polymer synthesis. Such a system will enable the implementation of a predictive artificial intelligence to guide this synthesis. In-flow characterisation and live feedback has also been initiated, and will soon be fully functional.
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