Modeling turbulent and self-gravitating fluids with Fourier neural operators
Neural Operators (NOs) are a leading method for surrogate modeling of partial differential equations. Unlike traditional neural networks, which approximate individual functions, NOs learn the mappings between function spaces. While NOs have been predominantly tested on simplified 1D and 2D problems,...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
AIP Publishing LLC
2025-06-01
|
| シリーズ: | APL Machine Learning |
| オンライン･アクセス: | http://dx.doi.org/10.1063/5.0263607 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|