lu-group / fourier-mionet-gcsLinks
Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration
☆16Updated last year
Alternatives and similar repositories for fourier-mionet-gcs
Users that are interested in fourier-mionet-gcs are comparing it to the libraries listed below
Sorting:
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Updated last year
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆158Updated last year
- ☆39Updated last year
- PINN for solving wave equation☆21Updated 2 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Updated 3 years ago
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆41Updated 3 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- Deep finite volume method☆21Updated last year
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆28Updated 3 years ago
- MIONet: Learning multiple-input operators via tensor product☆39Updated 3 years ago
- ☆22Updated last year
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆32Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆27Updated 10 months ago
- ☆52Updated 11 months ago
- ☆54Updated 3 years ago
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆27Updated 6 years ago
- ☆17Updated 4 years ago
- POD-PINN code and manuscript☆56Updated last year
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Physics Informed Fourier Neural Operator☆23Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆39Updated 5 months ago
- Physics informed neural network for learning seepage flow models☆19Updated 2 years ago
- Physics-encoded recurrent convolutional neural network☆47Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆36Updated 3 years ago
- A physics informed deep learning model for flow through porous media using data acquired from LBM simulations.☆12Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated 2 years ago