ASP projects

iMat: Digitalizing, democratizing and empowering materials development via artificial intelligence

This project focuses on materials analysis about efficient data handling and its continuously growing importance for industrial innovation (e.g. industrial digitalization). This attitude perfectly fits the role of the Translators, which have been recently defined by the European Materials Modelling Council (EMMC, https://emmc.info) as professional profiles able to bridge industrial needs and state-of-the-art academic research to drive industrial innovation.
The project has been finally shaped to focus on the application of state-of-the-art artificial intelligence (IBM Watson) for automatic literature screening and materials data extraction via NLP/ML to speed up properties’ assessment.

Principal Academic Tutor
Eliodoro Chiavazzo, Department of Energy, Politecnico di Torino

Academic Tutors
Luca Bergamasco, Department of Energy, Politecnico di Torino

External institutions
IBM – ENI – DOW Benelux – Uppsala
University – EPFL

External Tutors
Cristiano Malossi, IBM
Tom Verbrugge, DOW

Team members
Massimo Bini, Mathematical Engineering, Politecnico di Torino
Lorenzo Chiavarini, Mechanical engineering, Politecnico di Torino
Francesca Mignacco, Physics of Complex Systems, Politecnico di Torino
Francesco Mori, Physics of Complex Systems, Politecnico di Torino
Veronica Piazza, Chemical Engineering, Politecnico di Milano
Emilia Rosselli Del Turco, Integrated Product Design, Politecnico di Milano
Francesco Signorato, Mechanical Engineering, Politecnico di Torino
Silvio Trespi, Chemical Engineering, Politecnico di Milano

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