zheyuanhu01 / AugmentedPINNLinks
Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology"
☆15Updated 2 years ago
Alternatives and similar repositories for AugmentedPINN
Users that are interested in AugmentedPINN are comparing it to the libraries listed below
Sorting:
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆11Updated 10 months ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 2 weeks ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- ☆15Updated last year
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆20Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆12Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- ☆29Updated 2 years ago
- ☆14Updated 3 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆29Updated 2 years ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆12Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated 2 years ago
- Physics-informed radial basis network☆32Updated last year
- ☆32Updated 3 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆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…☆56Updated 8 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆25Updated last year
- ☆11Updated 9 months ago
- ☆23Updated 3 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆34Updated 4 years ago
- ☆32Updated 2 months ago
- POD-PINN code and manuscript☆53Updated 10 months ago
- ☆16Updated 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…☆41Updated 2 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- ☆54Updated 2 years ago