Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics
Abstract Traditional data-driven deep learning models often struggle with high training costs, error accumulation, and poor generalizability in complex physical processes. Physics-informed deep learning (PiDL) addresses these challenges by incorporating physical principles into the model. Most PiDL...
| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Nature Portfolio
2024-01-01
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| coleção: | Communications Physics |
| Acesso em linha: | https://doi.org/10.1038/s42005-024-01521-z |