junjun-yan / ST-PINNLinks
A Self-Training Physics-Informed Neural Network for Partial Differential Equations
☆22Updated 2 years ago
Alternatives and similar repositories for ST-PINN
Users that are interested in ST-PINN are comparing it to the libraries listed below
Sorting:
- ☆41Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆46Updated 3 years ago
- POD-PINN code and manuscript☆53Updated 10 months ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆21Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆51Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆32Updated 3 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆43Updated last year
- Physics-informed radial basis network☆32Updated last year
- 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
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆80Updated last year
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Competitive Physics Informed Networks☆30Updated 11 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- ☆29Updated 8 months ago
- Data preprocess method on Physics-informed neural networks☆19Updated 6 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆30Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆30Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆20Updated 2 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆17Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Yet another PINN implementation☆20Updated last year
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Updated 2 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆42Updated this week
- ☆12Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year