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PARC: Physics-aware recurrent convolutional neural networks to assimilate meso scale reactive mechanics of energetic materials

The thermo-mechanical response of shock-initiated energetic materials (EMs) is highly influenced by their microstructures, presenting an opportunity to engineer EM microstructures in a “materials-by-design” framework. However, the current design practice is limited, as a large ensemble of simulation...

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Detalles Bibliográficos
Autores principales:	Nguyen, Phong C. H., Nguyen, Yen-Thi, Choi, Joseph B., Seshadri, Pradeep K., Udaykumar, H. S., Baek, Stephen S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Association for the Advancement of Science 2023
Materias:	Physical and Materials Sciences
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146890/ https://www.ncbi.nlm.nih.gov/pubmed/37115927 http://dx.doi.org/10.1126/sciadv.add6868

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