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Predicting porosity, permeability, and tortuosity of porous media from images by deep learning
Convolutional neural networks (CNN) are utilized to encode the relation between initial configurations of obstacles and three fundamental quantities in porous media: porosity ([Formula: see text] ), permeability (k), and tortuosity (T). The two-dimensional systems with obstacles are considered. The...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7722859/ https://www.ncbi.nlm.nih.gov/pubmed/33293546 http://dx.doi.org/10.1038/s41598-020-78415-x |