Ali-Stanford / PhysicsInformedPointNetLinks
Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular geometries
☆13Updated 6 months ago
Alternatives and similar repositories for PhysicsInformedPointNet
Users that are interested in PhysicsInformedPointNet are comparing it to the libraries listed below
Sorting:
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆19Updated last month
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Updated 3 years ago
- ☆18Updated last year
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆28Updated 11 months ago
- Physics-informed radial basis network☆35Updated last year
- ☆27Updated 2 years ago
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆11Updated 4 years ago
- Multi-head attention network for airfoil flow field prediction☆17Updated 3 years ago
- ☆45Updated 3 years ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- ☆16Updated 2 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Updated 4 years ago
- ☆12Updated last week
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆38Updated 3 years ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆23Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- POD-PINN code and manuscript☆57Updated last year
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆15Updated last year
- ☆11Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆36Updated 3 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆14Updated last year
- Data preprocess method on Physics-informed neural networks☆26Updated 10 months ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 4 years ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year
- ☆14Updated last year