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...

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Detalles Bibliográficos
Autores principales: Chun, Sehyun, Roy, Sidhartha, Nguyen, Yen Thi, Choi, Joseph B., Udaykumar, H. S., Baek, Stephen 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/PMC7413342/
https://www.ncbi.nlm.nih.gov/pubmed/32764643
http://dx.doi.org/10.1038/s41598-020-70149-0

Internet

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

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