Sfoglia per Autore
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
Modeling growth of epitaxial nanostructures by continuum methods and machine learning
2023 Montalenti, F
Morphological evolution of films and nanostructures by state-of-the-art Machine Learning approaches
2023 Montalenti, F
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
Continuum modeling of 3D semiconductor epitaxy: thermodynamic and kinetic driving forces behind morphological and compositional evolution
2022 Bergamaschini, R; Montalenti, F; Miglio, L
Morphological evolution via surface diffusion learned by convolutional, recurrent neural networks: Extrapolation and prediction uncertainty
2022 Lanzoni, D; Albani, M; Bergamaschini, R; Montalenti, F
New insights into the electronic states of the Ge(0 0 1) surface by joint angle-resolved photoelectron spectroscopy and first-principle calculation investigation
2022 Reichmann, F; Scalise, E; Becker, A; Hofmann, E; Dabrowski, J; Montalenti, F; Miglio, L; Mulazzi, M; Klesse, W; Capellini, G
Stress-Induced Acceleration and Ordering in Solid-State Dewetting
2022 Boccardo, F; Rovaris, F; Tripathi, A; Montalenti, F; Pierre-Louis, O
Phase-field modeling of the morphological evolution of ringlike structures during growth: Thermodynamics, kinetics, and template effects
2022 De Donno, M; Albani, M; Bergamaschini, R; Montalenti, F
Machine learning potential for interacting dislocations in the presence of free surfaces
2022 Lanzoni, D; Rovaris, F; Montalenti, F
Atomic-scale insights on the formation of ordered arrays of edge dislocations in Ge/Si(001) films via molecular dynamics simulations
2022 Barbisan, L; Marzegalli, A; Montalenti, F
A machine learning approach for studying low-energy dislocation distributions: methodology and applications to Ge/Si(001) films
2021 Lanzoni, D; Rovaris, F; Montalenti, F
Vacancy-mediated climbing motion of dislocations in Ge/Si films: atomic-scale insights via molecular dynamics
2021 Barbisan, L; Marzegalli, A; Montalenti, F
Morphological evolution and compositional segregation effects in core-shell nanowires
2021 Bergamaschini, R; Scalise, E; Albani, M; Assali, S; Plantenga, R; Koelling, S; Verheijen, M; Bakkers, E; Montalenti, F; Miglio, L
Modeling the kinetic-driven morphological evolution in the 3D epitaxy of semiconductor micro- and nano-structures
2021 Bergamaschini, R; Albani, M; Montalenti, F; Miglio, L
Thermodynamic driving force in the formation of hexagonal-diamond Si and Ge nanowires
2021 Scalise, E; Sarikov, A; Barbisan, L; Marzegalli, A; Migas, D; Montalenti, F; Miglio, L
The formation of a Sn monolayer on Ge(1 0 0) studied at the atomic scale
2021 Hofmann, E; Scalise, E; Montalenti, F; Stock, T; Schofield, S; Capellini, G; Miglio, L; Curson, N; Klesse, W
Nature and Shape of Stacking Faults in 3C-SiC by Molecular Dynamics Simulations
2021 Barbisan, L; Sarikov, A; Marzegalli, A; Montalenti, F; Miglio, L
Faceting of Si and Ge crystals grown on deeply patterned Si substrates in the kinetic regime: phase-field modelling and experiments
2021 Albani, M; Bergamaschini, R; Barzaghi, A; Salvalaglio, M; Valente, J; Paul, D; Voigt, A; Isella, G; Montalenti, F
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