Sfoglia per Autore
Acceleration of Continuum-Scale Simulations Using Convolutional Neural Networks
2026 Lanzoni, D; Martín-Encinar, L; Fantasia, A; Rovaris, F; Rigoni, M; Montalenti, F; Bergamaschini, R
A parametrically-Conditioned Deep Learning Surrogate for Coherent Spinodal Decomposition
2026 Fantasia, A; Lanzoni, D; Di Eugenio, N; Monteleone, A; Bergamaschini, R; Montalenti, F
ML-enabled boosting of growth simulations
2025 Lanzoni, D; Fantasia, A; Rovaris, F; Bergamaschini, R; Montalenti, F
A Neural-Network surrogate for microstructure dynamics and crystal growth
2025 Lanzoni, D; Fantasia, A; Rigoni, M; Montalenti, F; Bergamaschini, R
Progressing strained layer growth by deep learning
2025 Lanzoni, D; Fantasia, A; Rovaris, F; Bergamaschini, R; Montalenti, F
Deep learning for simulating the evolution of condensed matter systems at the continuum scale: methods and applications
2025 Lanzoni, D; Montalenti, F; Bergamaschini, R
Pressure-dependent kinetics of phase transitions in Si and Ge using machine learning interatomic potentials
2025 Rovaris, F; Fantasia, A; Lanzoni, D; Marzegalli, A; Montalenti, F; Scalise, E
Electronic Properties of Extended Defects in Germanium: A First-Principles Study
2025 Regazzoni, V; Scalise, E; Marzegalli, A; Rovaris, F; Montalenti, F
Electronic Properties of Extended Defects in Germanium: A First-Principles Study
2025 Regazzoni, V; Scalise, E; Marzegalli, A; Montalenti, F
Unraveling Atomistic Mechanisms of Pressure-Induced Phase Transitions in Silicon and Germanium
2025 Rovaris, F; Fantasia, A; Marzegalli, A; Montalenti, F; Scalise, E
Electronic Properties of Perfect Dislocations in Germanium: A First-Principles Study
2025 Regazzoni, V; Rovaris, F; Marzegalli, A; Montalenti, F; Scalise, E
Origin and Evolution of I3 defects in Hexagonal Silicon and Germanium
2025 Rovaris, F; Dellevoet, J; Marzegalli, A; Schouten, M; Fantasia, A; Tse, O; Baumeier, B; Verheijen, M; Montalenti, F; Miglio, L; Bakkers, E; Scalise, E
Towards Hexagonal Germanium via Nanoindentation
2025 Marzegalli, A; Scalise, E; Bikerouin, M; Rovaris, F; Fantasia, A; Montalenti, F; Miglio, L; Mio, A; Bongiorno, C; Zaghloul, M; Maier-Kiener, V; Schaffar, G; Spirito, J; Corley-Wiciak, A; Capellini, G
Unraveling the atomic-scale pathways driving pressure-induced phase transitions in silicon
2025 Rovaris, F; Marzegalli, A; Montalenti, F; Scalise, E
Quantitative analysis of the prediction performance of a Convolutional Neural Network evaluating the surface elastic energy of a strained film
2025 Martín-Encinar, L; Lanzoni, D; Fantasia, A; Rovaris, F; Bergamaschini, R; Montalenti, F
Unravelling Atomistic Mechanisms of Pressure-Induced Phase Transitions in Silicon Nanoindentation
2024 Rovaris, F; Marzegalli, A; Lanzoni, D; Fantasia, A; Ge, G; Montalenti, F; Scalise, E
Accelerating Crystal Growth Simulations by Convolutional Neural Networks
2024 Lanzoni, D; Martín-Encinar, L; Rovaris, F; Fantasia, A; Montalenti, F; Bergamaschini, R
Convolutional Recurrent Neural Networks for tackling materials dynamics at the mesoscale
2024 Lanzoni, D; Bergamaschini, R; Fantasia, A; Montalenti, F
Simulating morphological evolutions by Convolutional Neural Networks
2024 Lanzoni, D; Rovaris, F; Fantasia, A; Martı́n-Encinar, L; Montalenti, F; Bergamaschini, R
Near-Infrared Light Trapping and Avalanche Multiplication in Silicon Epitaxial Microcrystals
2024 Falcone, V; Barzaghi, A; Signorelli, F; Valente, J; Firoozabadi, S; Zucchetti, C; Bergamaschini, R; Ballabio, A; Bottegoni, F; Zappa, F; Montalenti, F; Miglio, L; Volz, K; Paul, D; Biagioni, P; Tosi, A; Isella, G
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