LANZONI DANIELE

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

(2024). Deep Learning methods for the investigation of temporal evolution of materials. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2024). Dettaglio

Rovaris, F., Ge, G., Lanzoni, D., Marzegalli, A., Barbisan, L., Tang, X., et al. (2024). Atomistic Mechanisms of dc-hd Phase Transition in Si Nanoindentation. In Book of Abstract: "2nd International Workshop on Hexagonal SiGe and Related Materials". Dettaglio

Lanzoni, D., Rovaris, F., Martìn-Encinar, L., Bergamaschini, R., Fantasia, A., Montalenti, F. (2024). Simulations of strained films evolution: extending accessible timescales through Convolutional Neural Networks. In Abstract book of "Multiscale Materials Modeling - MMM11". Dettaglio

Lanzoni, D., Martín-Encinar, L., Rovaris, F., Fantasia, A., Montalenti, F., Bergamaschini, R. (2024). Accelerating Crystal Growth Simulations by Convolutional Neural Networks. In Abstract book of IWMCG11. Dettaglio