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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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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