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., Marzegalli, A., Lanzoni, D., Fantasia, A., Ge, G., Montalenti, F., et al. (2024). Unravelling Atomistic Mechanisms of Pressure-Induced Phase Transitions in Silicon Nanoindentation. In Abstract Book. 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

Lanzoni, D., Bergamaschini, R., Fantasia, A., Montalenti, F. (2024). Convolutional Recurrent Neural Networks for tackling materials dynamics at the mesoscale. In Abstract book of "Multiscale Materials Modeling - MMM11". Dettaglio