YUANLei2021 / A-PINNLinks
A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations
☆23Updated 3 years ago
Alternatives and similar repositories for A-PINN
Users that are interested in A-PINN are comparing it to the libraries listed below
Sorting:
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆58Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆59Updated 5 years ago
- PINN program for computational mechanics☆128Updated last year
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- This is the code of my master thesis.☆169Updated 8 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆28Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆152Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Burgers equation solved by PINN in PyTorch☆24Updated 4 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆82Updated 4 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆94Updated 3 years ago
- DeepXDE and PINN☆141Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆106Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆89Updated last year
- ☆21Updated last year
- Implementation of PINNs in TensorFlow 2☆81Updated 2 weeks ago
- Physics-Informed Neural Network☆92Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆70Updated 7 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆36Updated 3 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆30Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆199Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- PINN in solving Navier–Stokes equation☆119Updated 5 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆57Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆83Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆184Updated last year
- Physics Informed Neural Network (PINN) for Burgers' equation.☆72Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆165Updated last year