lmandl / separable-PI-DeepONetLinks
Separabale Physics-Informed DeepONets in JAX
☆10Updated 9 months ago
Alternatives and similar repositories for separable-PI-DeepONet
Users that are interested in separable-PI-DeepONet are comparing it to the libraries listed below
Sorting:
- ☆12Updated 2 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆17Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated last year
- Attention mechanism-based neural operator models to solve both forward and inverse problems.☆15Updated 3 months ago
- ☆54Updated 2 years ago
- PDE Preserved Neural Network☆55Updated 4 months ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 2 weeks ago
- ☆12Updated last year
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- ☆41Updated last month
- ☆38Updated this week
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆12Updated 3 years ago
- POD-PINN code and manuscript☆53Updated 10 months ago
- ☆42Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- ☆36Updated 2 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- ☆29Updated 2 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 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
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆17Updated last year
- ☆12Updated 9 months ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- library for querying the Johns Hopkins Turbulence Database (JHTDB)☆14Updated 3 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆46Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated this week
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 7 months ago
- ☆12Updated last year