Sfoglia per Autore LANZONI, DANIELE
Mostrati risultati da 1 a 7 di 7
Deep Learning methods for the investigation of temporal evolution of materials
2024 Lanzoni, D
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
Accurate generation of stochastic dynamics based on multi-model generative adversarial networks
2023 Lanzoni, D; Pierre-Louis, O; Montalenti, F
Morphological evolution via surface diffusion learned by convolutional, recurrent neural networks: Extrapolation and prediction uncertainty
2022 Lanzoni, D; 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
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
Computational analysis of low-energy dislocation configurations in graded layers
2020 Lanzoni, D; Rovaris, F; Montalenti, F
Mostrati risultati da 1 a 7 di 7
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