Wulx2050 / DeepXDE-and-PINNLinks
DeepXDE and PINN
☆123Updated 3 years ago
Alternatives and similar repositories for DeepXDE-and-PINN
Users that are interested in DeepXDE-and-PINN are comparing it to the libraries listed below
Sorting:
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆155Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆87Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆152Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆240Updated 3 years ago
- PINN program for computational mechanics☆118Updated last year
- Physics-informed neural network for solving fluid dynamics problems☆237Updated 4 years ago
- A place to share problems solved with SciANN☆286Updated last year
- PINN in solving Navier–Stokes equation☆107Updated 5 years ago
- physics-informed neural network for elastodynamics problem☆146Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆184Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 3 years ago
- This is the code of my master thesis.☆141Updated 4 months ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆50Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆73Updated 4 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆195Updated 3 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆20Updated 2 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆38Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- Basic implementation of physics-informed neural network with pytorch.☆74Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆79Updated last year
- Physics Informed Neural Network (PINN) for the wave equation.☆182Updated 5 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆205Updated 2 years ago
- ☆46Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆318Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 4 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆108Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆61Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆150Updated 5 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆50Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆141Updated 3 years ago