cemsoyleyici / PINNLinks
2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch
☆26Updated 2 years ago
Alternatives and similar repositories for PINN
Users that are interested in PINN are comparing it to the libraries listed below
Sorting:
- 2D wave equation simulated by PINN and FDM☆10Updated 3 years ago
- PINN for solving wave equation☆20Updated 2 years ago
- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆17Updated 2 years ago
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆33Updated 2 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆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 4 months ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Fourier-DeepONet for FWI☆21Updated last year
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆15Updated 3 years ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 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
- Deep finite volume method☆21Updated 11 months ago
- POD-PINN code and manuscript☆51Updated 6 months ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆26Updated 5 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆19Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- DeepONet extrapolation☆27Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆24Updated 2 years ago
- Fourier-enhanced multiple-input neural operators☆13Updated 9 months ago
- ☆29Updated 2 years ago
- Physics Informed Fourier Neural Operator☆21Updated 6 months ago
- ☆37Updated 10 months ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆22Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆140Updated 3 years ago
- Competitive Physics Informed Networks☆30Updated 8 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 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…☆40Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago