zhaoxiaoyu1995 / PI-UNet_HSL-TFPLinks
This is the implementation of the PI-UNet for HSL-TFP
☆26Updated 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
Sorting:
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- POD-PINN code and manuscript☆53Updated 10 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- ☆112Updated 8 months ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆53Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆91Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆46Updated 3 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- Competitive Physics Informed Networks☆31Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆31Updated 3 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…☆42Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 3 weeks ago
- Multi-fidelity reduced-order surrogate modeling☆25Updated 3 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- MIONet: Learning multiple-input operators via tensor product☆38Updated 2 years ago
- ☆54Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 8 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆99Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆41Updated 3 years ago
- Deep finite volume method☆22Updated last year