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BERGAMASCHINI, ROBERTO

BERGAMASCHINI, ROBERTO  

DIPARTIMENTO DI SCIENZA DEI MATERIALI  

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Risultati 1 - 20 di 101 (tempo di esecuzione: 0.011 secondi).
Titolo Tipologia Data di pubblicazione Autori File
Accelerating Crystal Growth Simulations by Convolutional Neural Networks 02 - Intervento a convegno 2024 Lanzoni,DRovaris, FFantasia, AMontalenti, FBergamaschini, R +
Accelerating simulations of strained-film growth by deep learning: Finite element method accuracy over long time scales 01 - Articolo su rivista 2024 Lanzoni, DanieleRovaris, FabrizioFantasia, AndreaBergamaschini, RobertoMontalenti, Francesco +
Convolutional Recurrent Neural Networks for tackling materials dynamics at the mesoscale 02 - Intervento a convegno 2024 Lanzoni, DBergamaschini, RFantasia, AMontalenti, F
Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired neural networks for the 3D microstructure evolution of materials via Cahn–Hilliard flow 01 - Articolo su rivista 2024 Lanzoni, DanieleFantasia, AndreaBergamaschini, RobertoMontalenti, Francesco +
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. +
Simulating morphological evolutions by Convolutional Neural Networks 02 - Intervento a convegno 2024 Lanzoni, DRovaris, FFantasia, AMontalenti, FBergamaschini, R +
Simulations of strained films evolution: extending accessible timescales through Convolutional Neural Networks 02 - Intervento a convegno 2024 Lanzoni, DRovaris, FFantasia, ABergamaschini, RMontalenti, F +
Simulations of strained films evolution: extending accessible timescales through Convolutional Neural Networks 02 - Intervento a convegno 2024 Lanzoni, DRovaris, FBergamaschini, RFantasia, AMontalenti, F +
Ge and Si Microcrystal Photodetectors with Enhanced Infrared Responsivity 02 - Intervento a convegno 2023 Bergamaschini R. +
In-Plane Nanowire Growth of Topological Crystalline Insulator Pb₁₋ₓSnₓTe 01 - Articolo su rivista 2023 Bergamaschini R.Montalenti F.Miglio L. +
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
Doubling the mobility of InAs/InGaAs selective area grown nanowires 01 - Articolo su rivista 2022 Bergamaschini R. +
Kinetic-control of morphology and composition during the 3D growth of semiconductor nanostructures 02 - Intervento a convegno 2022 Bergamaschini, R
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
Nanostructured 3C-SiC on Si by a network of (111) platelets: a fully textured film generated by intrinsic growth anisotropy 01 - Articolo su rivista 2022 Vanacore G. M.Scalise E.Barbisan L.Capitani G.Marzegalli A.Bergamaschini R.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 +
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. +
Growth of thick [1 1 1]-oriented 3C-SiC films on T-shaped Si micropillars 01 - Articolo su rivista 2021 Albani M.Bergamaschini R.Miglio L. +
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