Thermodynamically consistent modeling of granular soils using physics-informed neural networks
Abstract In recent years, data-driven approaches have gained considerable momentum in the scientific and engineering communities, owing to their capacity to extract complex patterns from high-dimensional data. Despite their potential, these approaches often require extensive high-quality datasets, m...
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| Main Authors: | Nazanin Irani, Mohammad Salimi, Torsten Wichtmann |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-12844-4 |
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