Physics-informed Neural Network for Predicting the Moisture Diffusion and Parameter Inversion in Stone Heritage
Water vapor is a critical factor affecting the long-term durability of porous stone materials used in historic buildings and archaeological sites. To extend the service life of these materials, it is essential to investigate the mechanisms of water vapor migration within them. This study proposes a...
| Published in: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-10-01
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| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-M-9-2025/595/2025/isprs-archives-XLVIII-M-9-2025-595-2025.pdf |