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Machine learning to predict effective reaction rates in 3D porous media from pore structural features
Large discrepancies between well-mixed reaction rates and effective reactions rates estimated under fluid flow conditions have been a major issue for predicting reactive transport in porous media systems. In this study, we introduce a framework that accurately predicts effective reaction rates direc...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971379/ https://www.ncbi.nlm.nih.gov/pubmed/35361834 http://dx.doi.org/10.1038/s41598-022-09495-0 |