Last month, at the vibrant science and engineering festival held during the Debug “Homecoming” event in Ca’ Vignal, we were excited to showcase the innovations developed by our dedicated AI4Materials team, including the experimental and computational work on the optimization of mix-design from marble sludge and the development of Physics-Informed Neural Network (PINN) for the study of crystallization-related problems in the physics and chemistry fields.
We are excited to offer master’s thesis project opportunities to students coming from computer science, engineering, and scientific Departments, looking forward to collaborating on current projects and welcoming innovative ideas at the intersection of materials science and artificial intelligence.
For more information, you can contact Dr. Eros Radicchi.
