lu-group / pinn-sampling
Non-adaptive and residual-based adaptive sampling for PINNs
☆65Updated 2 years ago
Alternatives and similar repositories for pinn-sampling:
Users that are interested in pinn-sampling are comparing it to the libraries listed below
- PINN in solving Navier–Stokes equation☆86Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆126Updated 10 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆63Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆16Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆50Updated 4 years ago
- ☆42Updated 2 months ago
- physics-informed neural network for elastodynamics problem☆128Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆62Updated 10 months ago
- Physics-informed neural networks for two-phase flow problems☆51Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆75Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆57Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆62Updated 3 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆84Updated 2 years ago
- DeepXDE and PINN☆98Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆83Updated last year
- Original implementation of fast PINN optimization with RBA weights☆47Updated 4 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆50Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆74Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆82Updated 4 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆86Updated 2 years ago
- ☆38Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆28Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆159Updated 2 months ago
- ☆156Updated last year
- POD-PINN code and manuscript☆47Updated 3 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆130Updated 4 years ago
- ☆52Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- PINN program for computational mechanics☆97Updated 10 months ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆44Updated 2 years ago