MuTong320 / NaiveFeaDocument
The theory document of project NaiveFea
☆16Updated 3 years ago
Alternatives and similar repositories for NaiveFeaDocument:
Users that are interested in NaiveFeaDocument are comparing it to the libraries listed below
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆16Updated 2 years ago
- DeepXDE and PINN☆98Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆57Updated 2 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆170Updated 2 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆72Updated last year
- a python library for the simplest finite element analysis.☆41Updated 3 years ago
- ☆120Updated 2 years ago
- ☆37Updated 8 months ago
- PINN program for computational mechanics☆97Updated 10 months ago
- ☆33Updated 2 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆59Updated last year
- Research/development of physics-informed neural networks for dynamic systems☆16Updated 2 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆26Updated last year
- ☆35Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆62Updated 3 years ago
- ☆29Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆53Updated 8 months ago
- Deep Learning for Reduced Order Modelling☆91Updated 3 years ago
- Burgers equation solved by PINN in PyTorch☆20Updated 3 years ago
- 基于pyfluent的全流程应用案例（以2D naca0012为例）☆45Updated 2 years ago
- MATLAB Programming for Finite Element Methods☆52Updated last year
- physics-informed neural network for elastodynamics problem☆128Updated 3 years ago
- Physics-informed learning of governing equations from scarce data☆129Updated last year
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆17Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆50Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆141Updated 9 months ago
- multi-fidelity neural network☆17Updated last year
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆75Updated 2 years ago
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆62Updated 2 years ago
- ☆35Updated last year