stefaniafresca / DL-ROM-Meth
Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.
☆20Updated last year
Related projects ⓘ
Alternatives and complementary repositories for DL-ROM-Meth
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆27Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆14Updated last year
- POD-PINN code and manuscript☆46Updated 2 weeks ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆18Updated last year
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆22Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆9Updated last year
- Python tools for non-intrusive reduced order modeling☆17Updated 4 months ago
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆16Updated 3 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆21Updated 2 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆45Updated 4 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆55Updated last year
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated last year
- XPINN code written in TensorFlow 2☆27Updated last year
- Multifidelity DeepONet☆27Updated last year
- ☆61Updated 5 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆28Updated 4 months ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- Machine learning of linear differential equations using Gaussian processes☆22Updated 6 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆19Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆22Updated last year
- ☆17Updated 4 years ago
- ☆24Updated 6 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆15Updated last year
- Standardized Non-Intrusive Reduced Order Modeling☆12Updated last year
- ☆10Updated 7 months ago
- Physics-guided neural network framework for elastic plates☆32Updated 2 years ago