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...

書誌詳細
出版年:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
主要な著者:	J. Huang, J. Hu, Z. Li, Y. Zhang, Y. Cheng
フォーマット:	論文
言語:	英語
出版事項:	Copernicus Publications 2025-10-01
オンライン･アクセス:	https://isprs-archives.copernicus.org/articles/XLVIII-M-9-2025/595/2025/isprs-archives-XLVIII-M-9-2025-595-2025.pdf

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