ROVARIS FABRIZIO

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]. Detail

Rovaris, F., Marzegalli, A., Montalenti, F., Scalise, E. (2025). Unraveling the atomic-scale pathways driving pressure-induced phase transitions in silicon. MATERIALS TODAY NANO, 29(March 2025), 1-9 [10.1016/j.mtnano.2024.100548]. Detail

Lanzoni, D., Rovaris, F., Martín-Encinar, L., Fantasia, A., Bergamaschini, R., Montalenti, F. (2024). Simulations of strained films evolution: extending accessible timescales through Convolutional Neural Networks. In Abstract book of ECOSS-37. Detail

Marzegalli, A., Mio, A., Spirito, D., Rovaris, F., Bikerouin, M., Shaffar, G., et al. (2024). Results and challenges in obtaining the hexagonal diamond Si phase by nanoindentation. In Book of abstract: "2nd International Workshop on Hexagonal SiGe and Related Materials". Detail

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. Detail