BERGAMASCHINI ROBERTO

Lanzoni, D., Montalenti, F., Bergamaschini, R. (2025). Deep learning for simulating the evolution of condensed matter systems at the continuum scale: methods and applications. JOURNAL OF PHYSICS. CONDENSED MATTER, 37(40) [10.1088/1361-648X/ae096d]. Detail

Seravalli, L., Ugolotti, A., Bergamaschini, R., Bosi, M., Cora, I., Mezzadri, F., et al. (2025). Supersaturation-Dependent Competition between β and κ Phases in the MOVPE Growth of Ga2O3on Al2O3(0001) and GaN (0001) Substrates. ACS APPLIED MATERIALS & INTERFACES, 17(45), 62261-62276 [10.1021/acsami.5c13401]. Detail

Lanzoni, D., Fantasia, A., Rovaris, F., Bergamaschini, R., Montalenti, F. (2025). ML-enabled boosting of growth simulations. Intervento presentato a: FAME III. Third edition of the Workshop: “Fundamentals and Advances of MOVPE processes”, Grenoble, France. Detail

Lanzoni, D., Fantasia, A., Rigoni, M., Montalenti, F., Bergamaschini, R. (2025). A Neural-Network surrogate for microstructure dynamics and crystal growth. In Abstract book. Detail

Lanzoni, D., Fantasia, A., Rovaris, F., Bergamaschini, R., Montalenti, F. (2025). Progressing strained layer growth by deep learning. In Atti del convegno. Detail