ChenfaZheng / PINN-for-wave-equation
PINN for solving wave equation
☆17Updated 2 years ago
Alternatives and similar repositories for PINN-for-wave-equation:
Users that are interested in PINN-for-wave-equation are comparing it to the libraries listed below
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆25Updated 2 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆30Updated last year
- physics-informed neural network for elastodynamics problem☆126Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆49Updated 3 years ago
- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆14Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆75Updated 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…☆22Updated this week
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆22Updated 5 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆48Updated 3 years ago
- ☆127Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆64Updated 2 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆20Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆83Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆43Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆49Updated 4 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆139Updated 4 years ago
- Fourier-DeepONet for FWI☆14Updated last year
- ☆34Updated last year
- gPINN: Gradient-enhanced physics-informed neural networks☆82Updated 2 years ago
- DeepONet extrapolation☆25Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆83Updated 3 years ago
- Implementation of fast PINN optimization with RBA weights☆45Updated 3 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆50Updated 7 months ago
- Physics-guided neural network framework for elastic plates☆34Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆15Updated 2 years ago
- ☆52Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆24Updated last year
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆26Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆115Updated 4 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆61Updated last year