bc1chen / AI4PDELinks
☆24Updated last year
Alternatives and similar repositories for AI4PDE
Users that are interested in AI4PDE are comparing it to the libraries listed below
Sorting:
- Deep finite volume method☆22Updated last year
- Data preprocess method on Physics-informed neural networks☆18Updated 6 months ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆11Updated 9 months ago
- ☆22Updated last year
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆12Updated 2 years ago
- ☆11Updated 8 months ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆17Updated 3 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆16Updated 4 months ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆29Updated 2 years ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆22Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- ☆22Updated 10 months ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- POD-PINN code and manuscript☆52Updated 9 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆29Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆27Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 7 months ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 2 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆11Updated 2 months ago
- This is the implementation of the PI-UNet for HSL-TFP☆27Updated 2 years ago
- PDE Preserved Neural Network☆54Updated 3 months ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆10Updated 4 months ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- ☆11Updated last year
- Yet another PINN implementation☆20Updated last year
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆49Updated 2 years ago
- ☆11Updated last month