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Long-time prediction of nonlinear parametrized dynamical systems by deep
  learning-based reduced order models

Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models

25 January 2022
Federico Fatone
S. Fresca
Andrea Manzoni
    AI4TS
ArXivPDFHTML

Papers citing "Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models"

4 / 4 papers shown
Title
Branched Latent Neural Maps
Branched Latent Neural Maps
M. Salvador
Alison Lesley Marsden
30
4
0
04 Aug 2023
Deep Learning-based surrogate models for parametrized PDEs: handling
  geometric variability through graph neural networks
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks
N. R. Franco
S. Fresca
Filippo Tombari
Andrea Manzoni
AI4CE
24
16
0
03 Aug 2023
A two stages Deep Learning Architecture for Model Reduction of
  Parametric Time-Dependent Problems
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems
Isabella Carla Gonnella
M. Hess
G. Stabile
G. Rozza
AI4CE
24
2
0
24 Jan 2023
Deep Convolutional Architectures for Extrapolative Forecast in
  Time-dependent Flow Problems
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems
Pratyush Bhatt
Y. Kumar
A. Soulaïmani
AI4TS
AI4CE
14
5
0
18 Sep 2022
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