zuokuijun / vitAirfoilEncoderLinks
this repository mainly descript how use vision transfrmer encode airfoil to latent code
☆24Updated 11 months ago
Alternatives and similar repositories for vitAirfoilEncoder
Users that are interested in vitAirfoilEncoder are comparing it to the libraries listed below
Sorting:
- ☆50Updated 3 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆252Updated 2 months ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆83Updated 4 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆89Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆185Updated last year
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆98Updated 2 years ago
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆174Updated 10 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆59Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆54Updated 2 years ago
- 本项目利用pytorch实现了一个简易的模块化DeepONet，凭此可以快速的实现一些简易的DeepONet。☆13Updated 6 months ago
- Modified Meshgraphnets with more features☆56Updated 11 months ago
- ☆44Updated 3 years ago
- PINN program for computational mechanics☆128Updated last year
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆34Updated last year
- DeepXDE and PINN☆145Updated 3 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆38Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆37Updated 3 years ago
- This is the code of my master thesis.☆170Updated 9 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆95Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆167Updated last year
- PINN in solving Navier–Stokes equation☆122Updated 5 years ago
- ☆27Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆72Updated 3 months ago
- ☆91Updated last year
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 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
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆23Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆59Updated 3 years ago
- A convolutional neural network for drag prediction in laminar flows☆15Updated 4 years ago