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MONTALENTI, FRANCESCO CIMBRO MATTIA

MONTALENTI, FRANCESCO CIMBRO MATTIA  

DIPARTIMENTO DI SCIENZA DEI MATERIALI  

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Risultati 1 - 20 di 216 (tempo di esecuzione: 0.01 secondi).
Titolo Tipologia Data di pubblicazione Autori File
Interplay of crystal faceting, wetting interactions and substrate geometry in solid-state dewetting and selective-area growth: a phase-field approach 02 - Intervento a convegno 2024 Radice, EMiglio, LMontalenti, FBergamaschini, R
Near-Infrared Light Trapping and Avalanche Multiplication in Silicon Epitaxial Microcrystals 01 - Articolo su rivista 2024 Bergamaschini R.Montalenti F.Miglio L. +
Silicon phase transitions in nanoindentation: Advanced molecular dynamics simulations with machine learning phase recognition 01 - Articolo su rivista 2024 Rovaris F.Lanzoni D.Barbisan L.Miglio L.Marzegalli A.Scalise E.Montalenti F. +
Simulations of strained films evolution: extending accessible timescales through Convolutional Neural Networks 02 - Intervento a convegno 2024 Lanzoni, DRovaris, FFantasia, ABergamaschini, RMontalenti, F +
Accurate generation of stochastic dynamics based on multi-model generative adversarial networks 01 - Articolo su rivista 2023 Lanzoni, DMontalenti, F +
In-Plane Nanowire Growth of Topological Crystalline Insulator Pb₁₋ₓSnₓTe 01 - Articolo su rivista 2023 Bergamaschini R.Montalenti F.Miglio L. +
Modeling growth of epitaxial nanostructures by continuum methods and machine learning 02 - Intervento a convegno 2023 Montalenti, F
Morphological evolution of films and nanostructures by state-of-the-art Machine Learning approaches 02 - Intervento a convegno 2023 Montalenti, F
Atomic-scale insights on the formation of ordered arrays of edge dislocations in Ge/Si(001) films via molecular dynamics simulations 01 - Articolo su rivista 2022 Barbisan L.Marzegalli A.Montalenti F.
Continuum modeling of 3D semiconductor epitaxy: thermodynamic and kinetic driving forces behind morphological and compositional evolution 02 - Intervento a convegno 2022 Bergamaschini, RMontalenti, FMiglio, L
Machine learning potential for interacting dislocations in the presence of free surfaces 01 - Articolo su rivista 2022 Lanzoni D.Rovaris F.Montalenti F.
Morphological evolution via surface diffusion learned by convolutional, recurrent neural networks: Extrapolation and prediction uncertainty 01 - Articolo su rivista 2022 Daniele LanzoniMarco AlbaniRoberto BergamaschiniFrancesco Montalenti
New insights into the electronic states of the Ge(0 0 1) surface by joint angle-resolved photoelectron spectroscopy and first-principle calculation investigation 01 - Articolo su rivista 2022 Scalise E.Montalenti F.Miglio L. +
Phase-field modeling of the morphological evolution of ringlike structures during growth: Thermodynamics, kinetics, and template effects 01 - Articolo su rivista 2022 Albani, MBergamaschini, RMontalenti, F +
Stress-Induced Acceleration and Ordering in Solid-State Dewetting 01 - Articolo su rivista 2022 Boccardo, FrancescoRovaris, FabrizioMontalenti, Francesco +
A machine learning approach for studying low-energy dislocation distributions: methodology and applications to Ge/Si(001) films 02 - Intervento a convegno 2021 Lanzoni, DRovaris, FMontalenti, F
Faceting of Si and Ge crystals grown on deeply patterned Si substrates in the kinetic regime: phase-field modelling and experiments 01 - Articolo su rivista 2021 Albani M.Bergamaschini R.Montalenti F. +
Modeling the kinetic-driven morphological evolution in the 3D epitaxy of semiconductor micro- and nano-structures 02 - Intervento a convegno 2021 Bergamaschini, RAlbani, MMontalenti, FMiglio, L
Morphological evolution and compositional segregation effects in core-shell nanowires 02 - Intervento a convegno 2021 Bergamaschini RScalise EAlbani MMontalenti FMiglio L +
Nature and Shape of Stacking Faults in 3C-SiC by Molecular Dynamics Simulations 01 - Articolo su rivista 2021 Barbisan L.Sarikov A.Marzegalli A.Montalenti F.Miglio L.