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Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials
The sensitivity of heterogeneous energetic (HE) materials (propellants, explosives, and pyrotechnics) is critically dependent on their microstructure. Initiation of chemical reactions occurs at hot spots due to energy localization at sites of porosities and other defects. Emerging multi-scale predic...
| 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/PMC7413342/ https://www.ncbi.nlm.nih.gov/pubmed/32764643 http://dx.doi.org/10.1038/s41598-020-70149-0 |