# U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/u-fno-an-enhanced-fourier-neural-operator-based-deep-learning-model-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gege Wen,Zongyi Li,Kamyar Azizzadenesheli,Anima Anandkumar,Sally M. Benson |
| Citations | 496 |
| DOI | 10.1016/j.advwatres.2022.104180 |
| Fields | Engineering,Physics and Astronomy |
| Open Access | true |
| OA Status | green |
| OA URL | https://authors.library.caltech.edu/114256/ |
| OpenAlex ID | https://openalex.org/W3197308578 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Anima Anandkumar](https://scholariq.org/researchers/anima-anandkumar/)

## Paper primary topic

- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)

## Paper topics

- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)
- [Lattice Boltzmann Simulation Studies](https://scholariq.org/topics/lattice-boltzmann-simulation-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.