cics-nd / dcedn-gcs
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multi-phase flow in heterogeneous random media
☆14Updated 5 years ago
Alternatives and similar repositories for dcedn-gcs:
Users that are interested in dcedn-gcs are comparing it to the libraries listed below
- Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder☆12Updated 3 years ago
- The construction of TgNN surrogate☆14Updated 4 years ago
- CCSNet: a deep learning modeling suite for CO2 storage☆22Updated 6 months ago
- Physics informed neural network for learning seepage flow models☆17Updated last year
- ☆35Updated 8 months ago
- Fourier-enhanced multiple-input neural operators☆11Updated 6 months ago
- This repository contains an Auto-encoder ConvLSTM network (Pytorch) which can be used to predict a large number of time steps (100+). The…☆21Updated 2 years ago
- Alghalandis Discrete Fracture Network Engineering☆27Updated last year
- ☆11Updated 2 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆33Updated last year
- DAFI: Ensemble based data assimilation and field inversion, repository for internal development☆54Updated 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
- ☆62Updated 5 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆22Updated 2 years ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆24Updated 5 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆124Updated 6 months ago
- PINN for solving wave equation☆20Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- ☆23Updated last year
- Physics informed neural network (PINN) for the 1D Heat equation☆16Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- Uncertainty Quantification in the POD-NN framework☆22Updated 4 years ago
- 2D wave equation simulated by PINN and FDM☆9Updated 3 years ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Open source python workflow to segment multiphase flow images☆17Updated 4 months ago
- 3D CNN to predict single-phase flow velocity fields☆72Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆23Updated 2 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆32Updated 2 years ago
- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆15Updated 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…☆25Updated 2 months ago