neuraloperator / Geo-FNO
Geometry-Aware Fourier Neural Operator (Geo-FNO)
☆238Updated last year
Alternatives and similar repositories for Geo-FNO:
Users that are interested in Geo-FNO are comparing it to the libraries listed below
- DeepONet & FNO (with practical extensions)☆284Updated last year
- ☆435Updated 2 weeks ago
- ☆333Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆147Updated 11 months ago
- ☆132Updated 2 years ago
- [ICLR 2023] Factorized Fourier Neural Operators☆161Updated last year
- Applications of PINOs☆122Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆166Updated 6 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆188Updated 2 years ago
- Using graph network to solve PDEs☆383Updated last year
- ☆107Updated 2 months ago
- ☆120Updated 5 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆220Updated 3 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆139Updated last week
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆128Updated 7 months ago
- ☆199Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆132Updated 3 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆160Updated 4 years ago
- ☆160Updated last year
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆307Updated 8 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆140Updated 4 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆185Updated 4 months ago
- Physics-informed neural network for solving fluid dynamics problems☆222Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆134Updated 3 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆95Updated 2 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆381Updated 3 weeks ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆171Updated 2 years ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆89Updated last month
- Repo to the paper "Message Passing Neural PDE Solvers"☆131Updated 7 months ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆48Updated 2 years ago