PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
☆53Updated 2 years ago
Alternatives and similar repositories for Long-time-Integration-PI-DeepONets:
Users that are interested in Long-time-Integration-PI-DeepONets are comparing it to the libraries listed below
- ☆28Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- POD-PINN code and manuscript☆51Updated 5 months ago
- DeepONet extrapolation☆27Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- Multifidelity DeepONet☆31Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- ☆135Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆51Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆89Updated 3 years ago
- ☆32Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆48Updated 2 years ago
- ☆49Updated 4 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago
- PDE Preserved Neural Network☆48Updated 9 months ago
- ☆92Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆14Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 3 months ago
- Original implementation of fast PINN optimization with RBA weights☆52Updated 2 weeks ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆60Updated last week
- ☆26Updated 9 months ago
- Applications of PINOs☆123Updated 2 years ago
- ☆11Updated 3 years ago
- ☆56Updated 2 years ago
- Physics Informed Fourier Neural Operator☆21Updated 5 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 3 weeks ago