A Python library for solving ice sheet modeling problems using physics-informed neural networks, PINNICLE v1.0
<p>Predicting the future contributions of the ice sheets to sea-level rise remains a significant challenge due to our limited understanding of key physical processes (e.g., basal friction, ice rheology) and the lack of observations of critical model inputs (e.g., bed topography). Traditional numeric...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2025-08-01
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| coleção: | Geoscientific Model Development |
| Acesso em linha: | https://gmd.copernicus.org/articles/18/5311/2025/gmd-18-5311-2025.pdf |
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