Pages that link to "Item:Q2103427"
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The following pages link to Deep-HyROMnet: a deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs (Q2103427):
Displaying 10 items.
- A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs (Q831238) (← links)
- POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition (Q2060079) (← links)
- HiDeNN-TD: reduced-order hierarchical deep learning neural networks (Q2072507) (← links)
- Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression (Q6048987) (← links)
- Deep learning methods for partial differential equations and related parameter identification problems (Q6070739) (← links)
- Dosnet as a non-black-box PDE solver: when deep learning meets operator splitting (Q6095076) (← links)
- A graph convolutional autoencoder approach to model order reduction for parametrized PDEs (Q6126547) (← links)
- lifex-cfd: an open-source computational fluid dynamics solver for cardiovascular applications (Q6151898) (← links)
- Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps (Q6153912) (← links)
- Non-intrusive parametric hyper-reduction for nonlinear structural finite element formulations (Q6669042) (← links)
