ROVARIS FABRIZIO

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. Dettaglio

Xu, Q., Goda, I., Zaborowska, A., Mulewska, K., Chrominski, W., Kalita, D., et al. (2026). Nanoscale ductility in c‐plane Al2O3: Dislocation and twinning mechanisms via nanoindentation and molecular dynamics. JOURNAL OF THE AMERICAN CERAMIC SOCIETY, 109(1 (January 2026)) [10.1111/jace.70420]. Dettaglio

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]. Dettaglio

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

Bikerouin, M., Marzegalli, A., Rovaris, F., Bongiorno, C., Zaghloul, M., Schaffar, G., et al. (2025). Formation of Micrometer-Sized Textured Hexagonal Silicon Crystals via Nanoindentation. In abstract book. Dettaglio