zuokuijun / vitAirfoilEncoderLinks
this repository mainly descript how use vision transfrmer encode airfoil to latent code
☆21Updated 5 months ago
Alternatives and similar repositories for vitAirfoilEncoder
Users that are interested in vitAirfoilEncoder are comparing it to the libraries listed below
Sorting:
- ☆43Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆73Updated last year
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆28Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- ☆39Updated 2 years ago
- Modified Meshgraphnets with more features☆49Updated 4 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆46Updated 2 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆38Updated 9 months ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆36Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆63Updated last month
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- ☆14Updated 2 years ago
- ☆26Updated 5 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 5 months ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆14Updated 2 years ago
- ☆18Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- A convolutional neural network for drag prediction in laminar flows☆14Updated 4 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆31Updated 3 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆67Updated 3 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆79Updated 2 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆90Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆148Updated last year
- DeepXDE and PINN☆114Updated 3 years ago
- ☆38Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆55Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆23Updated 3 weeks ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 3 years ago