li-Pingan / fourier-neural-operatorLinks
☆57Updated 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☆315Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆85Updated 2 years ago
- ☆50Updated 7 months ago
- ☆360Updated 2 years ago
- Physics Informed Fourier Neural Operator☆24Updated 8 months ago
- DeepXDE and PINN☆122Updated 3 years ago
- ☆28Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Fourier_neural_operator☆15Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆73Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆210Updated 7 months ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆155Updated last year
- ☆144Updated 9 months ago
- ☆170Updated last year
- This is the code of my master thesis.☆140Updated 3 months ago
- ☆145Updated 3 years ago
- ☆56Updated 6 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆266Updated 2 months ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆332Updated 11 months ago
- Physics-informed learning of governing equations from scarce data☆149Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆238Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆95Updated 3 years ago
- Implementing a physics-informed DeepONet from scratch☆45Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆144Updated 3 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆142Updated 11 months ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆194Updated 3 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆107Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆181Updated 2 years ago
- PINN in solving Navier–Stokes equation☆107Updated 5 years ago