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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Detalles Bibliográficos
Autores principales: Wu, Haiyi, Fang, Wen-Zhen, Kang, Qinjun, Tao, Wen-Quan, Qiao, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6938523/
https://www.ncbi.nlm.nih.gov/pubmed/31892713
http://dx.doi.org/10.1038/s41598-019-56309-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6938523/
https://www.ncbi.nlm.nih.gov/pubmed/31892713
http://dx.doi.org/10.1038/s41598-019-56309-x

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