zhaoxiaoyu1995 / PI-UNet_HSL-TFP
This is the implementation of the PI-UNet for HSL-TFP
☆23Updated 2 years ago
Alternatives and similar repositories for PI-UNet_HSL-TFP:
Users that are interested in PI-UNet_HSL-TFP are comparing it to the libraries listed below
- Multifidelity DeepONet☆30Updated last year
- POD-PINN code and manuscript☆50Updated 4 months ago
- DeepONet extrapolation☆26Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆24Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆23Updated last year
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆27Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 3 years ago
- ☆35Updated 2 years ago
- ☆53Updated 2 years ago
- This is the implementation of the RecFNO.☆19Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆27Updated last year
- Physics-guided neural network framework for elastic plates☆37Updated 3 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆24Updated last year
- MIONet: Learning multiple-input operators via tensor product☆32Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆42Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆29Updated last year
- ☆35Updated 8 months ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆39Updated 2 years ago
- Laminar flow prediction using graph neural networks☆27Updated 2 months ago
- Python tools for non-intrusive reduced order modeling☆19Updated 8 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 2 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆69Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆16Updated 2 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆25Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- ☆26Updated 2 years ago