li-Pingan / fourier-neural-operatorLinks
☆69Updated 2 years ago
Alternatives and similar repositories for fourier-neural-operator
Users that are interested in fourier-neural-operator are comparing it to the libraries listed below
Sorting:
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆336Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆92Updated 3 years ago
- ☆170Updated last year
- ☆52Updated 11 months ago
- ☆369Updated 2 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆175Updated last year
- ☆32Updated last year
- This is the code of my master thesis.☆164Updated 7 months ago
- Implementing a physics-informed DeepONet from scratch☆51Updated 2 years ago
- Physics Informed Fourier Neural Operator☆23Updated 11 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆160Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆241Updated 3 weeks ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆287Updated 5 months ago
- Fourier_neural_operator☆16Updated 2 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆54Updated 2 years ago
- DeepXDE and PINN☆136Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆152Updated 3 years ago
- ☆155Updated 3 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆154Updated last year
- ☆180Updated last year
- 本项目利用pytorch实现了一个简易的模块化DeepONet,凭此可以快速的实现一些简易的DeepONet。☆12Updated 4 months ago
- Physics-informed learning of governing equations from scarce data☆157Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆81Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆255Updated 4 years ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆369Updated last year
- ☆22Updated last year
- PINN in solving Navier–Stokes equation☆114Updated 5 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆197Updated 2 years ago
- ☆62Updated 2 months ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆79Updated 4 years ago