zheyuanhu01 / AugmentedPINN
Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology"
☆15Updated last year
Alternatives and similar repositories for AugmentedPINN:
Users that are interested in AugmentedPINN are comparing it to the libraries listed below
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆12Updated 10 months ago
- ☆26Updated 2 years ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆10Updated last year
- Multifidelity DeepONet☆28Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆9Updated last year
- ☆13Updated last year
- Tackling the Curse of Dimensionality with Physics-Informed Neural Networks☆11Updated 9 months ago
- ☆14Updated 3 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆15Updated 7 months ago
- This is the implementation of the PI-UNet for HSL-TFP☆21Updated 2 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆46Updated last month
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- ☆17Updated 4 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 10 months ago
- ☆52Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆29Updated 8 months ago
- Rheology-informed Machine Learning Projects☆13Updated 10 months ago
- Physics-informed radial basis network☆29Updated 9 months ago
- Official implementation of *A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs*☆13Updated 2 years ago
- ☆28Updated 2 years ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆36Updated 3 months ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆22Updated last year
- DeepONet extrapolation☆26Updated last year
- ☆15Updated 6 months ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆25Updated 3 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆23Updated last year
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆34Updated 6 months ago
- ☆10Updated 10 months ago