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

Rovaris, F. (2024). Atomic-scale modeling of the pressure-induced dc-hd phase transition. In Abstract Book. Detail

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. Detail

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". Detail