BERGAMASCHINI ROBERTO

Lanzoni, D., Martín-Encinar, L., Fantasia, A., Rovaris, F., Rigoni, M., Montalenti, F., et al. (2026). Acceleration of Continuum-Scale Simulations Using Convolutional Neural Networks. In Abstract book of MCGPD-2026. Dettaglio

Fantasia, A., Lanzoni, D., Di Eugenio, N., Monteleone, A., Bergamaschini, R., Montalenti, F. (2026). A parametrically-Conditioned Deep Learning Surrogate for Coherent Spinodal Decomposition. ADVANCED THEORY AND SIMULATIONS, 9(2) [10.1002/adts.202502144]. Dettaglio

Bertoni, I., Ugolotti, A., Scalise, E., Bergamaschini, R., Miglio, L. (2025). Interface energies of Ga2O3 phases with the sapphire substrate and the phase-locked epitaxy of metastable structures explained. JOURNAL OF MATERIALS CHEMISTRY. C, 13(3), 1469-1476 [10.1039/d4tc04307c]. Dettaglio

Martín-Encinar, L., Lanzoni, D., Fantasia, A., Rovaris, F., Bergamaschini, R., Montalenti, F. (2025). Quantitative analysis of the prediction performance of a Convolutional Neural Network evaluating the surface elastic energy of a strained film. COMPUTATIONAL MATERIALS SCIENCE, 249(5 February 2025) [10.1016/j.commatsci.2024.113657]. Dettaglio

Radice, E., Salvalaglio, M., Bergamaschini, R. (2025). Phase-field modelling of anisotropic solid-state dewetting on patterned substrates. ACTA MATERIALIA, 292(15 June 2025) [10.1016/j.actamat.2025.120992]. Dettaglio