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.
☆15Updated 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
- 2D wave equation simulated by PINN and FDM☆9Updated 3 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆33Updated last year
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆29Updated 2 years ago
- PINN for solving wave equation☆20Updated 2 years ago
- ☆39Updated last year
- this is a case of seismic wave forward and inversion using PINN(physical-informed neural network)☆14Updated 2 years ago
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆27Updated 6 months ago
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆18Updated 2 months ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆22Updated 2 years ago
- ☆55Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆132Updated 3 years ago
- Benchmark problems in 2D and 3D for the elastic wave equation.☆13Updated 7 years ago
- ☆11Updated 2 years ago
- We develop a weighted envelope-correlation-based waveform inversion using automatic differentiation.☆11Updated last year
- ☆19Updated 11 months ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆17Updated 2 years ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆24Updated 5 years ago
- Fourier-enhanced multiple-input neural operators☆11Updated 6 months ago
- ☆12Updated last year
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆123Updated 6 months ago
- Fourier-DeepONet for FWI☆15Updated last year
- This repository reproduces the results of the paper "Deep learning for fast simulation of seismic waves in complex media" (B. Moseley et …☆48Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆76Updated 2 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆156Updated 4 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆55Updated 3 years ago
- FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning☆30Updated 3 years ago
- The construction of TgNN surrogate☆14Updated 4 years ago
- ☆35Updated 8 months ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆14Updated 10 months ago
- Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation☆43Updated 3 years ago