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
- ☆27Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆33Updated 2 years ago
- POD-PINN code and manuscript☆50Updated 5 months ago
- DeepONet extrapolation☆27Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- ☆132Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- Multifidelity DeepONet☆30Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago
- ☆92Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆50Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆77Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆87Updated last year
- PDE Preserved Neural Network☆46Updated 9 months ago
- ☆31Updated last year
- Original implementation of fast PINN optimization with RBA weights☆50Updated 5 months 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
- Non-adaptive and residual-based adaptive sampling for PINNs☆70Updated 2 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…☆39Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆69Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆24Updated last year
- ☆24Updated 3 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated this week
- gPINN: Gradient-enhanced physics-informed neural networks☆86Updated 2 years ago
- ☆48Updated 4 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆132Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 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 11 months ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year