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

Internet

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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