ROVARIS, FABRIZIO

ROVARIS, FABRIZIO  

DIPARTIMENTO DI SCIENZA DEI MATERIALI  

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Titolo Tipologia Data di pubblicazione Autori File
2H-Si/Ge for Group-IV Photonics: on the Origin of Extended Defects in Core-Shell Nanowires 01 - Articolo su rivista 2024 Rovaris F.Marzegalli A.Miglio L.Scalise E. +
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 +
Atomic-scale modeling of the pressure-induced dc-hd phase transition 02 - Intervento a convegno 2024 Fabrizio Rovaris
Atomistic Mechanisms of dc-hd Phase Transition in Si Nanoindentation 02 - Intervento a convegno 2024 Rovaris, FLanzoni, DMarzegalli, ABarbisan, LMiglio, LScalise, EMontalenti, F +
Development of a machine learning interatomic potential for exploring pressure-dependent kinetics of phase transitions in germanium 01 - Articolo su rivista 2024 Fantasia A.Rovaris F.Abou El Kheir O.Marzegalli A.Lanzoni D.Scalise E.Montalenti F. +
Full Picture of Lattice Deformation in a Ge1 − xSnx Micro-Disk by 5D X-ray Diffraction Microscopy 01 - Articolo su rivista 2024 Rovaris F.Marzegalli A.Montalenti F. +
Results and challenges in obtaining the hexagonal diamond Si phase by nanoindentation 02 - Intervento a convegno 2024 Marzegalli, ARovaris, FBikerouin, MScalise, E +
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. +
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 +
The Lattice Strain Distribution in GexSn1-x Micro-Disks Investigated at the Sub 100-nm Scale 01 - Articolo su rivista 2024 Rovaris, FabrizioMarzegalli, AnnaMontalenti, Francesco +
Unravelling Atomistic Mechanisms of Pressure-Induced Phase Transitions in Silicon Nanoindentation 02 - Intervento a convegno 2024 Fabrizio RovarisAnna marzegalliDaniele LanzoniAndrea FantasiaFrancesco MontalentiEmilio Scalise +
Hexagonal Diamond phase of Si and Ge by nanoindentation 02 - Intervento a convegno 2023 Fabrizio RovarisAnna MarzegalliLeonida MiglioEmilio Scalise +
Hexagonal Si and Ge polytypes for silicon photonics 02 - Intervento a convegno 2023 Emilio ScaliseFabrizio RovarisAnna Marzegalli
Self-ion irradiation effects on nanoindentation-induced plasticity of crystalline iron: A joint experimental and computational study: Ion irradiation effects on hardening mechanisms of crystalline iron 01 - Articolo su rivista 2023 Rovaris F. +
Effects of surface curvature and dislocation dynamics: Dynamical deformation mechanisms for uniaxial compression tests at the nanoscale 01 - Articolo su rivista 2022 Rovaris F. +
Machine learning potential for interacting dislocations in the presence of free surfaces 01 - Articolo su rivista 2022 Lanzoni D.Rovaris F.Montalenti F.
Stress-Induced Acceleration and Ordering in Solid-State Dewetting 01 - Articolo su rivista 2022 Boccardo, FrancescoRovaris, FabrizioMontalenti, Francesco +