cics-nd / dcedn-gcsLinks
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multi-phase flow in heterogeneous random media
☆14Updated 6 years ago
Alternatives and similar repositories for dcedn-gcs
Users that are interested in dcedn-gcs are comparing it to the libraries listed below
Sorting:
- The construction of TgNN surrogate☆15Updated 4 years ago
- Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder☆12Updated 4 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆142Updated 11 months ago
- 2D wave equation simulated by PINN and FDM☆12Updated 3 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆26Updated 3 years ago
- Physics informed neural network for learning seepage flow models☆17Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆144Updated 3 years ago
- PINN for solving wave equation☆20Updated 2 years ago
- CCSNet: a deep learning modeling suite for CO2 storage☆23Updated 11 months ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆27Updated 5 years ago
- 3D CNN to predict single-phase flow velocity fields☆74Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆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 …☆18Updated 2 years ago
- Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration☆14Updated 11 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆182Updated 5 years ago
- A place to share problems solved with SciANN☆285Updated last year
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Updated last year
- DeepXDE and PINN☆122Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆79Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆60Updated 3 years ago
- Leaning Proper Orthogonal Decomposition coefficients using Deep Neural Networks.☆10Updated 5 years ago
- ☆9Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 6 months ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆80Updated 3 years ago
- ☆50Updated 7 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆47Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆24Updated 2 months ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 5 years ago