ZzYyPp47 / pinn
一个简易的模块化物理信息神经网络实现(PINN)
☆19Updated 2 weeks ago
Related projects: ⓘ
- 复现CICP论文提出的几种改进PINN性能的方法☆10Updated 5 months ago
- PINN in solving Navier–Stokes equation☆71Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆94Updated 5 months ago
- ☆26Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆46Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆53Updated 5 months ago
- Basic implementation of physics-informed neural network with pytorch.☆40Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆15Updated 2 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆26Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆48Updated last year
- Physics Informed Neural Networks: a starting step for CFD specialists☆26Updated 2 years ago
- DeepXDE and PINN☆72Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆112Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆14Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆67Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆15Updated 3 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆15Updated 2 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆54Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆22Updated last year
- Physics-informed neural networks for two-phase flow problems☆45Updated last year
- PINN program for computational mechanics☆80Updated 5 months ago
- POD-PINN code and manuscript☆44Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆118Updated 4 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆40Updated 3 months ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆42Updated 3 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆70Updated last year
- ☆25Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆55Updated last year
- Boosting the training of physics informed neural networks with transfer learning☆24Updated 3 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆30Updated last year