fish233yeah / PINNs--implemented-by-pytorchLinks
After reading the paper Physics-informed neural networks(https://www.sciencedirect.com/science/article/pii/S0021999118307125), I tried to fit heat equation and wave equation with pytorch (while the author used the tensorflow), and certainly these code can be used to fit other equations
☆11Updated 3 years ago
Alternatives and similar repositories for PINNs--implemented-by-pytorch
Users that are interested in PINNs--implemented-by-pytorch are comparing it to the libraries listed below
Sorting:
- 2D wave equation simulated by PINN and FDM☆12Updated 3 years ago
- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆18Updated 2 years ago
- PINN for solving wave equation☆21Updated 2 years ago
- this is a case of seismic wave forward and inversion using PINN(physical-informed neural network)☆17Updated 3 years ago
- ☆43Updated 2 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Updated last year
- physics-informed neural network for elastodynamics problem☆151Updated 3 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆28Updated 3 years ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆27Updated 6 years ago
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆35Updated 4 months ago
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆40Updated 3 years ago
- Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder☆12Updated 4 years ago
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆25Updated 5 months ago
- The construction of TgNN surrogate☆15Updated 4 years ago
- ☆21Updated last year
- Porosity estimation from RW-PINNs☆15Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆152Updated last year
- ☆14Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆194Updated 5 years ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆18Updated last year
- PGNN-FWI: performing physics-guided neural network for FWI☆71Updated 11 months ago
- PINN program for computational mechanics☆125Updated last year
- CCSNet: a deep learning modeling suite for CO2 storage☆25Updated last year
- Shale gas simulation environment☆43Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- A physics informed deep learning model for flow through porous media using data acquired from LBM simulations.☆11Updated 2 years ago
- Single-file implementations of 2D and 3D acoustic and elastic wave propagation in time domain using finite-differences(FDTD). Simple form…☆118Updated 6 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- This repo contains a PyTorch implementation with DeepWave for the manuscript FWIGAN: Full-waveform inversion via a physics-informed gener…☆55Updated 2 years ago