hsbhc / AMAW-PINNLinks
Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting
☆34Updated 2 years ago
Alternatives and similar repositories for AMAW-PINN
Users that are interested in AMAW-PINN are comparing it to the libraries listed below
Sorting:
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆73Updated last year
- Physics-guided neural network framework for elastic plates☆40Updated 3 years ago
- POD-PINN code and manuscript☆51Updated 7 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆14Updated 2 years ago
- ☆9Updated 7 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 5 months ago
- Basic implementation of physics-informed neural network with pytorch.☆70Updated 2 years ago
- Physics-Informed Neural Network☆85Updated last year
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆39Updated last week
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- ☆19Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆79Updated 2 years ago
- ☆50Updated 6 months ago
- Physics-informed radial basis network☆30Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆36Updated 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…☆40Updated 2 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆18Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆55Updated 3 years ago
- ☆26Updated 5 months ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago