elhamwasei / PINNsLinks
Physics-Informed Neural Networks for solving PDEs (bachelor project)
☆10Updated 2 years ago
Alternatives and similar repositories for PINNs
Users that are interested in PINNs are comparing it to the libraries listed below
Sorting:
- POD-PINN code and manuscript☆51Updated 6 months ago
- Yet another PINN implementation☆20Updated 11 months ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Python tools for non-intrusive reduced order modeling☆19Updated 2 months ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆24Updated 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
- ☆21Updated 4 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- ☆10Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆30Updated last year
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Data preprocess method on Physics-informed neural networks☆15Updated 3 months ago
- Multifidelity DeepONet☆33Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 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 4 months ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆14Updated last year
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆13Updated 4 years ago
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- ☆38Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆11Updated 7 months ago
- ☆11Updated 2 weeks ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago