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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |