farscape-project / PINNs_Benchmark
Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to benchmark the performance of PINNs across various hardware architectures.
☆14Updated 2 years ago
Alternatives and similar repositories for PINNs_Benchmark:
Users that are interested in PINNs_Benchmark are comparing it to the libraries listed below
- Repository for sharing code and data assocaited with En-DeepONet architecture☆30Updated last year
- ☆34Updated last year
- 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
- PINN for solving wave equation☆17Updated 2 years ago
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆24Updated 4 months ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆22Updated 5 years ago
- physics-informed neural network for elastodynamics problem☆126Updated 2 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆20Updated 2 years ago
- ☆55Updated 3 years ago
- this is a case of seismic wave forward and inversion using PINN(physical-informed neural network)☆12Updated 2 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆139Updated 4 years ago
- Fourier-DeepONet for FWI☆14Updated last year
- ☆18Updated 9 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆49Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆75Updated 2 years ago
- The construction of TgNN surrogate☆14Updated 4 years ago
- CCSNet: a deep learning modeling suite for CO2 storage☆22Updated 4 months ago
- Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder☆12Updated 3 years ago
- Benchmark problems in 2D and 3D for the elastic wave equation.☆13Updated 7 years ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆13Updated 8 months 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
- ☆29Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆83Updated last year
- ☆52Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆48Updated 3 years ago
- Physics Informed Fourier Neural Operator☆18Updated last month
- ☆10Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆61Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆83Updated 3 years ago
- PGNN-FWI: performing physics-guided neural network for FWI☆50Updated 2 months ago