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Development of a continuous-flow based process for AI-guided polymer synthesis

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.

Relatori: Carlo Ricciardi
Anno accademico: 2019/20
Tipo di pubblicazione: Elettronica
Numero di pagine: 42
Soggetti:
Corso di laurea: Corso di laurea magistrale in Nanotechnologies For Icts (Nanotecnologie Per Le Ict)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-29 - INGEGNERIA ELETTRONICA
Aziende collaboratrici: IBM
URI: http://webthesis.biblio.polito.it/id/eprint/12550
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