# Fourier Neural Operator for Parametric Partial Differential Equations

*Source* · `src-li-2020-fno` · status: **n/a**

| field | value |
|---|---|
| kind | Peer-reviewed paper |
| authors | Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar |
| venue | ICLR 2021 |
| date | 2020-10-18 |
| url | https://arxiv.org/abs/2010.08895 |
| arxiv | 2010.08895 |
| accessed | 2026-10-24 |

## Notes

Neural operator with kernels parameterized in Fourier space; Burgers, Darcy, Navier-Stokes; up to three orders of magnitude faster than traditional PDE solvers; zero-shot super-resolution.

## Backlinks (computed)

**cited by:** [Graph network simulators and neural operators](../technique/graph-network-simulators.md)

## Citation

Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar (2020-10-18). *Fourier Neural Operator for Parametric Partial Differential Equations*. ICLR 2021 https://arxiv.org/abs/2010.08895

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Provenance: created in run `2026-10-24-techniques-sim-math`.