# Neural operators for accelerating scientific simulations and design

**Type:** Papers  
**Canonical URL:** https://picoportal.org/library/papers/neural-operators-for-accelerating-scientific-simulations-and-design/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kamyar Azizzadenesheli,Nikola Kovachki,Zongyi Li,Miguel Liu-Schiaffini,Jean Kossaifi,Anima Anandkumar |
| Citations | 259 |
| DOI | 10.1038/s42254-024-00712-5 |
| Fields | Computer Science,Physics and Astronomy |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4394578532 |
| Type | article |
| Year | 2024 |

## Paper authors

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

## Paper journal

- [Nature Reviews Physics](https://picoportal.org/library/journals/nature-reviews-physics/)

## Paper primary topic

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

## Paper topics

- [Model Reduction and Neural Networks](https://picoportal.org/library/topics/model-reduction-and-neural-networks/)
- [Neural Networks and Applications](https://picoportal.org/library/topics/neural-networks-and-applications/)
- [Computational Physics and Python Applications](https://picoportal.org/library/topics/computational-physics-and-python-applications/)

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Source: PICO Portal — public research metadata, principally OpenAlex. See https://picoportal.org/library/sources/ for provenance and https://picoportal.org/library/methodology/ for what these figures mean.