lu-group / pinn-samplingLinks
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
☆91Updated 3 years ago
Alternatives and similar repositories for pinn-sampling
Users that are interested in pinn-sampling are comparing it to the libraries listed below
Sorting:
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆175Updated last year
- PINN in solving Navier–Stokes equation☆114Updated 5 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆100Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆151Updated 3 years ago
- DeepXDE and PINN☆136Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆64Updated 4 years ago
- Basic implementation of physics-informed neural network with pytorch.☆81Updated 3 years ago
- ☆155Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆54Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆160Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- This is the code of my master thesis.☆164Updated 7 months ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆74Updated 2 years ago
- Physics-Informed Neural Network☆91Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆85Updated last year
- Implementing a physics-informed DeepONet from scratch☆51Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆255Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆252Updated 4 years ago
- Implementation of PINNs in TensorFlow 2☆81Updated 2 years ago
- PINN program for computational mechanics☆126Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆79Updated 4 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆121Updated 3 weeks ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆334Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆197Updated 2 years ago
- ☆180Updated last year
- Physics-informed learning of governing equations from scarce data☆157Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆150Updated 5 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆84Updated 2 months ago