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Ontology development and machine learning for automating materials science research and materials discovery
2022 Le Piane, Fabio; Forni, Tommaso; Baldoni, Matteo; Mercuri, Francesco
AI and data-driven infrastructures for workflow automation and integration in advanced research and industrial applications
2023 Forni, Tommaso; Vozza, Mario; Le Piane, Fabio; Lorenzoni, Andrea; Baldoni, Matteo; Mercuri, Francesco
GrapheNet: A Novel Deep Learning Model for Predicting Physical and Electronic Properties of 2D Materials Using Images
2023 Forni, Tommaso; Baldoni, Matteo; Mercuri, Francesco
GrapheNet: a deep learning framework for predicting the physical and electronic properties of nanographenes using images
2024 Forni, Tommaso; Baldoni, Matteo; Le Piane, Fabio; Mercuri, Francesco
Vision-based defect localisation and automated planning for robotic spray coating systems
2025 Forni, Tommaso; Mattera, Giulio; Vozza, Mario; Nele, Luigi
Artificial Intelligence for Predictive Design and Development of Innovative Materials, Manufacturing Processes, and Technological Applications
2025 Forni, Tommaso
Advanced clustering technique for automatic labelling of welding signals
2026 Vozza, Mario; Forni, Tommaso; Le Piane, Fabio; Petrella, Alessandro; Mattera, Giulio; Yap, Emily; Nele, Luigi; Mercuri, Francesco
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Ontology development and machine learning for automating materials science research and materials discovery / Le Piane, F., Forni, T., Baldoni, M., Mercuri, F.. - ELETTRONICO. - (2022). (Ital-IA 2022 9-11/02/2022). | 1-gen-2022 | Tommaso ForniFrancesco Mercuri + | Ital-IA22_paper_193.pdf |
| AI and data-driven infrastructures for workflow automation and integration in advanced research and industrial applications / Forni, T., Vozza, M., Le Piane, F., Lorenzoni, A., Baldoni, M., Mercuri, F.. - 3486:(2023), pp. 105-111. (ITAL-IA 2023 Pisa (ITA) ). | 1-gen-2023 | Tommaso ForniMario VozzaFrancesco Mercuri + | AI and data-driven infrastructures for workflow automation and integration in advanced research and industrial applications.pdf |
| GrapheNet: A Novel Deep Learning Model for Predicting Physical and Electronic Properties of 2D Materials Using Images / Forni, T., Baldoni, M., Mercuri, F.. - (2023). (Chem2Dmat2023 Bologna (ITA) May 15-18, 2023). | 1-gen-2023 | Tommaso ForniFrancesco Mercuri + | Chem2Dmatconf2023_Forni_Tommaso_34.pdf |
| GrapheNet: a deep learning framework for predicting the physical and electronic properties of nanographenes using images / Forni, T., Baldoni, M., Le Piane, F., Mercuri, F.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 14:(2024). [10.1038/s41598-024-75841-z] | 1-gen-2024 | Tommaso ForniFrancesco Mercuri + | s41598-024-75841-z.pdf |
| Vision-based defect localisation and automated planning for robotic spray coating systems / Forni, T., Mattera, G., Vozza, M., Nele, L.. - In: JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING. - ISSN 1678-5878. - 47:9(2025). [10.1007/s40430-025-05746-z] | 1-gen-2025 | Forni, TommasoVozza, Mario + | s40430-025-05746-z.pdf |
| Artificial Intelligence for Predictive Design and Development of Innovative Materials, Manufacturing Processes, and Technological Applications / Forni, T.. - (2025 Jun 05), pp. 1-306. [10.13121/polito/porto/3001290] | 5-giu-2025 | FORNI, TOMMASO | conv_ph_d_thesis_tommaso.pdf; conv_dissertation_summary.pdf |
| Advanced clustering technique for automatic labelling of welding signals / Vozza, M., Forni, T., Le Piane, F., Petrella, A., Mattera, G., Yap, E., Nele, L., Mercuri, F.. - 138:(2026), pp. 1213-1217. (18th CIRP Conference on Intelligent Computation in Manufacturing Engineering Ischia (ITA) 12-14 July 2024). | 1-gen-2026 | Mario VozzaTommaso ForniFrancesco Mercuri + | 1-s2.0-S2212827126002106-main.pdf |