Application of physics-informed neural networks (PINNs) solution to coupled thermal and hydraulic processes in silty sands
Abstract The accurate modeling of water and heat transport in soils is crucial for both geo-environmental and geothermal engineering. Traditional modeling methods are problematic because they require well-defined boundaries and initial conditions. Recently, physics-informed neural networks (PINNs),...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
SpringerOpen
2025-01-01
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| Col·lecció: | International Journal of Geo-Engineering |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s40703-025-00232-w |
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