shawnrosofsky / PINO_ApplicationsLinks
Applications of PINOs
☆126Updated 2 years ago
Alternatives and similar repositories for PINO_Applications
Users that are interested in PINO_Applications are comparing it to the libraries listed below
Sorting:
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆177Updated last month
- ☆212Updated 3 years ago
- ☆166Updated last year
- ☆97Updated 3 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆144Updated 2 months ago
- ☆109Updated 4 months ago
- ☆53Updated 2 years ago
- ☆143Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆136Updated 3 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆197Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆263Updated 3 weeks ago
- DeepONet extrapolation☆27Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- ☆353Updated 2 years ago
- Spectral Neural Operator☆79Updated last year
- ☆181Updated 2 months ago
- ☆62Updated 2 years ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆113Updated 11 months ago
- ☆134Updated 8 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆86Updated 6 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆43Updated last week
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆148Updated 4 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆104Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆62Updated 2 months ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆175Updated 4 years ago