Panda000001 / PINN-PODLinks
This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data through deep-learning-strengthened proper orthogonal decomposition"
☆12Updated 2 years ago
Alternatives and similar repositories for PINN-POD
Users that are interested in PINN-POD are comparing it to the libraries listed below
Sorting:
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Updated 3 years ago
- ☆12Updated last week
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆18Updated last year
- ☆13Updated 2 years ago
- ☆13Updated last year
- ☆13Updated last year
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 3 months ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆14Updated last year
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆15Updated last year
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆13Updated 5 months ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated 2 years ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- POD-PINN code and manuscript☆56Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- ☆15Updated last month
- Data preprocess method on Physics-informed neural networks☆24Updated 9 months ago
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆16Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆28Updated 5 months ago
- Competitive Physics Informed Networks☆32Updated last year
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆33Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆35Updated 3 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Updated 4 years ago
- ☆18Updated last year
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆26Updated 2 months ago
- ☆32Updated 11 months ago