MONTALENTI, FRANCESCO CIMBRO MATTIA
MONTALENTI, FRANCESCO CIMBRO MATTIA
DIPARTIMENTO DI SCIENZA DEI MATERIALI
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
Accelerating Crystal Growth Simulations by Convolutional Neural Networks
2024 Lanzoni, D; Martín-Encinar, L; Rovaris, F; Fantasia, A; Montalenti, F; Bergamaschini, R
Accelerating simulations of strained-film growth by deep learning: Finite element method accuracy over long time scales
2024 Lanzoni, D; Rovaris, F; Martín-Encinar, L; Fantasia, A; Bergamaschini, R; Montalenti, F
Atomistic Mechanisms of dc-hd Phase Transition in Si Nanoindentation
2024 Rovaris, F; Ge, G; Lanzoni, D; Marzegalli, A; Barbisan, L; Tang, X; Miglio, L; Scalise, E; Montalenti, F
Convolutional Recurrent Neural Networks for tackling materials dynamics at the mesoscale
2024 Lanzoni, D; Bergamaschini, R; Fantasia, A; Montalenti, F
Development of a machine learning interatomic potential for exploring pressure-dependent kinetics of phase transitions in germanium
2024 Fantasia, A; Rovaris, F; Abou El Kheir, O; Marzegalli, A; Lanzoni, D; Pessina, L; Xiao, P; Zhou, C; Li, L; Henkelman, G; Scalise, E; Montalenti, F
Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired neural networks for the 3D microstructure evolution of materials via Cahn–Hilliard flow
2024 Lanzoni, D; Fantasia, A; Bergamaschini, R; Pierre-Louis, O; Montalenti, F
Full Picture of Lattice Deformation in a Ge1 − xSnx Micro-Disk by 5D X-ray Diffraction Microscopy
2024 Corley-Wiciak, C; Zoellner, M; Corley-Wiciak, A; Rovaris, F; Zatterin, E; Zaitsev, I; Sfuncia, G; Nicotra, G; Spirito, D; von den Driesch, N; Manganelli, C; Marzegalli, A; Schulli, T; Buca, D; Montalenti, F; Capellini, G; Richter, C
Interplay of crystal faceting, wetting interactions and substrate geometry in solid-state dewetting and selective-area growth: a phase-field approach
2024 Radice, E; Miglio, 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
Polytypic quantum wells in Si and Ge: impact of 2D hexagonal inclusions on electronic band structure
2024 Marzegalli, A; Montalenti, F; Scalise, E
Silicon phase transitions in nanoindentation: Advanced molecular dynamics simulations with machine learning phase recognition
2024 Ge, G; Rovaris, F; Lanzoni, D; Barbisan, L; Tang, X; Miglio, L; Marzegalli, A; Scalise, E; Montalenti, F
Simulating morphological evolutions by Convolutional Neural Networks
2024 Lanzoni, D; Rovaris, F; Fantasia, A; Martı́n-Encinar, L; Montalenti, F; Bergamaschini, R
Simulations of strained films evolution: extending accessible timescales through Convolutional Neural Networks
2024 Lanzoni, D; Rovaris, F; Martín-Encinar, L; Fantasia, A; Bergamaschini, R; Montalenti, F
Simulations of strained films evolution: extending accessible timescales through Convolutional Neural Networks
2024 Lanzoni, D; Rovaris, F; Martìn-Encinar, L; Bergamaschini, R; Fantasia, A; Montalenti, F
The Lattice Strain Distribution in GexSn1-x Micro-Disks Investigated at the Sub 100-nm Scale
2024 Corley-Wiciak, C; Zöllner, M; Corley-Wiciak, A; Rovaris, F; Sfruncia, G; Nicotra, G; Zaitsev, I; Manganelli, C; Zatterin, E; Spirito, D; Marzegalli, A; Schulli, T; Von Den Driesch, N; Buca, D; Montalenti, F; Richter, C; Capellini, G
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
Accurate generation of stochastic dynamics based on multi-model generative adversarial networks
2023 Lanzoni, D; Pierre-Louis, O; Montalenti, F
In-Plane Nanowire Growth of Topological Crystalline Insulator Pb₁₋ₓSnₓTe
2023 Schellingerhout, S; Bergamaschini, R; Verheijen, M; Montalenti, F; Miglio, L; Bakkers, E
Modeling growth of epitaxial nanostructures by continuum methods and machine learning
2023 Montalenti, F