A Self-Training Physics-Informed Neural Network for Partial Differential Equations
☆24Aug 3, 2023Updated 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- 用于求解偏微分方程的有限元程序(1&2D finite element codes used to solve PDE)☆18Mar 30, 2026Updated 3 months ago
- ☆14Dec 9, 2024Updated last year
- Fast computation of soft tissue thermal response under deformation based on fast explicit dynamics finite element algorithm for surgical …☆10May 30, 2022Updated 4 years ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆41Jan 18, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆54Sep 13, 2022Updated 3 years ago
- Computer simulation on the crystallization of polymer dendritic crystal based on the phase-field model☆23Nov 10, 2018Updated 7 years ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- PINN for heat transfer problems☆26Jun 23, 2021Updated 5 years ago
- FEM enhanced neural network☆20Nov 27, 2022Updated 3 years ago
- ☆19Oct 17, 2021Updated 4 years ago
- Deep finite volume method☆22Jun 26, 2024Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆76Sep 11, 2025Updated 10 months ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A microscopic traffic simulator☆12Oct 26, 2021Updated 4 years ago
- ☆44Jun 18, 2023Updated 3 years ago
- Variational Physics-Informed Neural Networks For the Helmholtz Impedance Problem☆10Sep 25, 2023Updated 2 years ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆30Oct 22, 2024Updated last year
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…☆49Updated this week
- Physics-informed radial basis network☆42May 20, 2024Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆29Apr 20, 2024Updated 2 years ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated 2 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆229Feb 21, 2023Updated 3 years ago
- ☆121Mar 15, 2024Updated 2 years ago
- Physics Informed Neural Networks (PINNs) code to solve the 3D Poisson-Boltzmann equation.☆17Mar 31, 2025Updated last year
- - Create a queueing model at signalized intersections (e.g. shockwave profile model); - Create a simple SUMO network with traffic lights;…☆11Nov 18, 2021Updated 4 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 5 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆24Nov 29, 2022Updated 3 years ago
- ☆11Feb 8, 2023Updated 3 years ago
- ☆14May 28, 2021Updated 5 years ago
- About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discret…☆14May 14, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 复现CICP论文提出的几种改进PINN性能的方法☆27Jul 2, 2025Updated last year
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆16Dec 14, 2021Updated 4 years ago
- Reproduce the first two numerical experiments(Pytorch)☆27Jul 30, 2020Updated 5 years ago
- ☆16Jul 3, 2023Updated 3 years ago
- ☆10Apr 27, 2025Updated last year
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆29Jun 2, 2025Updated last year
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆18Feb 26, 2024Updated 2 years ago