paulvoliva / XNODE-WAN-PDE-solverLinks
We develop a custom ML routine XNODE-WAN to solve parabolic PDEs with high efficiency.
☆11Updated 3 years ago
Alternatives and similar repositories for XNODE-WAN-PDE-solver
Users that are interested in XNODE-WAN-PDE-solver are comparing it to the libraries listed below
Sorting:
- ☆353Updated 2 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆57Updated 5 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆193Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆79Updated 2 years ago
- ☆47Updated 2 years ago
- DeepONet & FNO (with practical extensions)☆306Updated last year
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆325Updated 10 months ago
- Fourier_neural_operator☆14Updated 2 years ago
- ☆212Updated 3 years ago
- ☆134Updated 8 months ago
- ☆166Updated last year
- ☆143Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆136Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆148Updated last year
- ☆50Updated 6 months ago
- Physics-informed learning of governing equations from scarce data☆145Updated last year
- Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…☆44Updated 6 years ago
- PDE Preserved Neural Network☆53Updated last month
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 4 years ago
- A deep learning based method for solving high dimensional partial differential equations based on its weak form☆21Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- DeepXDE and PINN☆114Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆134Updated 3 years ago
- ☆28Updated last year
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆70Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- PINN in solving Navier–Stokes equation☆105Updated 5 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago