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An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties
The high permeability and strong selectivity of nanoporous silicon nitride (NPN) membranes make them attractive in a broad range of applications. Despite their growing use, the strength of NPN membranes needs to be improved for further extending their biomedical applications. In this work, we implem...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221757/ https://www.ncbi.nlm.nih.gov/pubmed/37273663 http://dx.doi.org/10.1038/s41524-023-01037-0 |