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Predicting Effective Diffusivity of Porous Media from Images by Deep Learning
We report the application of machine learning methods for predicting the effective diffusivity (D(e)) of two-dimensional porous media from images of their structures. Pore structures are built using reconstruction methods and represented as images, and their effective diffusivity is computed by latt...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6938523/ https://ncbi.nlm.nih.gov/pubmed/31892713 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-56309-x |
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