BERGAMASCHINI ROBERTO

Lanzoni, D., Pierre-Louis, O., Bergamaschini, R., Montalenti, F. (2026). Learning lattice Kinetic Monte Carlo stochastic surface dynamics with Deep Generative Adversarial Networks. ACTA MATERIALIA, 311(1 June 2026) [10.1016/j.actamat.2026.122149]. Detail

Colin, J., Bergamaschini, R. (2026). Dissolution of a strained spherical shell embedded in a matrix. JOURNAL OF CRYSTAL GROWTH, 682(1 May 2026) [10.1016/j.jcrysgro.2026.128548]. Detail

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. Detail

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]. 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