Sysuzqs / PDENNEval
☆49Updated 5 months ago
Alternatives and similar repositories for PDENNEval
Users that are interested in PDENNEval are comparing it to the libraries listed below
Sorting:
- Non-adaptive and residual-based adaptive sampling for PINNs☆74Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆71Updated last year
- Deep finite volume method☆21Updated 10 months ago
- ☆41Updated 2 years ago
- PINN in solving Navier–Stokes equation☆101Updated 4 years ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆195Updated 5 months ago
- ☆24Updated 4 months ago
- DeepXDE and PINN☆109Updated 2 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆68Updated 2 years ago
- PDE Preserved Neural Network☆49Updated 10 months ago
- PINN program for computational mechanics☆106Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆23Updated 2 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆141Updated last year
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆43Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- Physics Informed Fourier Neural Operator☆21Updated 5 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- ☆26Updated 11 months ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆30Updated 3 years ago
- ☆47Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated 11 months ago
- ☆53Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- Modified Meshgraphnets with more features☆42Updated 3 months ago
- physics-informed neural network for elastodynamics problem☆136Updated 3 years ago