tianshao1992 / PINNs_CylinderLinks
☆46Updated 3 years ago
Alternatives and similar repositories for PINNs_Cylinder
Users that are interested in PINNs_Cylinder are comparing it to the libraries listed below
Sorting:
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆31Updated last year
- ☆40Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆80Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆30Updated 3 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆76Updated 4 years ago
- Physics-informed neural networks for two-phase flow problems☆66Updated 4 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆159Updated last year
- Physics-informed neural networks for studying heat transfer in porous media☆18Updated 3 months ago
- PINN program for computational mechanics☆119Updated last year
- Physics Informed Neural Networks: a starting step for CFD specialists☆35Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆57Updated 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
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆46Updated 3 years ago
- PINN in solving Navier–Stokes equation☆112Updated 5 years ago
- ☆75Updated 9 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆87Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆221Updated 9 months ago
- ☆29Updated 8 months ago
- 复现CICP论文提出的几种改进PINN性能的方法☆23Updated 2 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 8 months ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆50Updated 4 years ago
- Burgers equation solved by PINN in PyTorch☆24Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆187Updated 2 years ago
- Physics-Informed Neural Network☆88Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆73Updated 2 years ago
- code☆16Updated 2 years ago