Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media

Fine-scale models that represent first-principles physics are challenging to represent at larger scales of interest in many application areas. In nanoporous media such as tight-shale formations, where the typical pore size is less than 50 nm, confinement effects play a significant role in how fluids...

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Detalles Bibliográficos
Autores principales: Lubbers, Nicholas, Agarwal, Animesh, Chen, Yu, Son, Soyoun, Mehana, Mohamed, Kang, Qinjun, Karra, Satish, Junghans, Christoph, Germann, Timothy C., Viswanathan, Hari S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414857/
https://www.ncbi.nlm.nih.gov/pubmed/32770012
http://dx.doi.org/10.1038/s41598-020-69661-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414857/
https://www.ncbi.nlm.nih.gov/pubmed/32770012
http://dx.doi.org/10.1038/s41598-020-69661-0

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