Ph.D. in Intelligenza Artificiale , 37th cycle (2021-2024)
Ph.D. obtained in 2025
Dissertation:
Artificial Intelligence for Predictive Design and Development of Innovative Materials, Manufacturing Processes, and Technological Applications (Abstract)
Tutors:
Francesco MercuriPublications
Works published during the Ph.D. View all publications in Porto@Iris
- Forni, Tommaso; Mattera, Giulio; Vozza, Mario; Nele, Luigi (2025)
Vision-based defect localisation and automated planning for robotic spray coating systems. In: JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, vol. 47. ISSN 1678-5878
Contributo su Rivista - Forni, Tommaso (2025)
Artificial Intelligence for Predictive Design and Development of Innovative Materials, Manufacturing Processes, and Technological Applications. relatore: MERCURI, FRANCESCO; , 37. XXXVII Ciclo, P.: 306
Doctoral Thesis - Forni, Tommaso; Baldoni, Matteo; Le Piane, Fabio; Mercuri, Francesco (2024)
GrapheNet: a deep learning framework for predicting the physical and electronic properties of nanographenes using images. In: SCIENTIFIC REPORTS, vol. 14. ISSN 2045-2322
Contributo su Rivista - Forni, Tommaso; Baldoni, Matteo; Mercuri, Francesco (2023)
GrapheNet: A Novel Deep Learning Model for Predicting Physical and Electronic Properties of 2D Materials Using Images. In: Chem2Dmat2023, Bologna (ITA), May 15-18, 2023
Contributo in Atti di Convegno (Proceeding) - Forni, Tommaso; Vozza, Mario; Le Piane, Fabio; Lorenzoni, Andrea; Baldoni, Matteo; ... (2023)
AI and data-driven infrastructures for workflow automation and integration in advanced research and industrial applications. In: ITAL-IA 2023, Pisa (ITA), pp. 105-111
Contributo in Atti di Convegno (Proceeding) - Le Piane, Fabio; Forni, Tommaso; Baldoni, Matteo; Mercuri, Francesco (2022)
Ontology development and machine learning for automating materials science research and materials discovery. In: Ital-IA 2022, 9-11/02/2022
Contributo in Atti di Convegno (Proceeding)