PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONetsLinks
☆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
Sorting:
- DeepONet extrapolation☆27Updated 2 years ago
- ☆29Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Multifidelity DeepONet☆33Updated last year
- POD-PINN code and manuscript☆51Updated 6 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆69Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- ☆32Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- 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
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆52Updated 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
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆78Updated 2 years ago
- ☆26Updated 10 months 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
- Competitive Physics Informed Networks☆30Updated 8 months ago
- ☆97Updated 3 years ago
- ☆36Updated 2 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆62Updated last month
- ☆11Updated last year
- ☆141Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆55Updated 4 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated last month
- ☆41Updated 2 years ago
- Applications of PINOs☆126Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆78Updated 2 years ago