Sfoglia per Correlatore FRESCA, STEFANIA
Mostrati risultati da 1 a 5 di 5
Deep Learning-based surrogate models for parametrized PDEs : including geometrical features through graph neural networks
2022/2023 TOMBARI, FILIPPO
Efficient approximation of PDEs defined on domains with variable shape through POD-enhanced deep learning-based ROMs
2021/2022 Zuanon, Edoardo
Graph Neural Networks based AutoEncoder in Reduced Order Modeling of Dynamical Systems
2023/2024 DEVECCHI, PIETRO
Long-time prediction of nonlinear parametrized dynamical systems through deep learning-based reduced order models
2020/2021 Fatone, Federico
On latent dynamics learning in nonlinear reduced order modeling
2023/2024 Farenga, Nicola
| Fulltext | Data | Tipo | Titolo | Autore (i) |
|---|---|---|---|---|
| 2023-05-04 | Tesi di laurea Magistrale | Deep Learning-based surrogate models for parametrized PDEs : including geometrical features through graph neural networks | TOMBARI, FILIPPO | |
| 2023-05-04 | Tesi di laurea Magistrale | Efficient approximation of PDEs defined on domains with variable shape through POD-enhanced deep learning-based ROMs | Zuanon, Edoardo | |
| 2024-10-10 | Tesi di laurea Magistrale | Graph Neural Networks based AutoEncoder in Reduced Order Modeling of Dynamical Systems | DEVECCHI, PIETRO | |
| 2021-10-07 | Tesi di laurea Magistrale | Long-time prediction of nonlinear parametrized dynamical systems through deep learning-based reduced order models | Fatone, Federico | |
| 2024-10-10 | Tesi di laurea Magistrale | On latent dynamics learning in nonlinear reduced order modeling | Farenga, Nicola |
Mostrati risultati da 1 a 5 di 5
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