zuokuijun / vitAirfoilEncoder
this repository mainly descript how use vision transfrmer encode airfoil to latent code
☆20Updated 4 months ago
Alternatives and similar repositories for vitAirfoilEncoder
Users that are interested in vitAirfoilEncoder are comparing it to the libraries listed below
Sorting:
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆71Updated last year
- ☆42Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆43Updated last year
- A convolutional neural network for drag prediction in laminar flows☆14Updated 4 years ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆27Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆23Updated 2 years ago
- ☆12Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆56Updated last week
- ☆38Updated 3 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆82Updated last year
- ☆38Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆65Updated 3 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆35Updated 2 years ago
- Modified Meshgraphnets with more features☆43Updated 3 months ago
- Multi-head attention network for airfoil flow field prediction☆12Updated 2 years ago
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆150Updated 2 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated 11 months ago
- ☆18Updated last year
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆16Updated last year
- Physics Informed Neural Networks: a starting step for CFD specialists☆31Updated 3 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆75Updated 2 years ago
- KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows☆30Updated 3 weeks ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆32Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆21Updated 5 months ago
- PINN program for computational mechanics☆110Updated last year
- ☆61Updated 2 years ago
- ☆68Updated 5 months ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆37Updated 8 months ago