Strength through defects: A novel Bayesian approach for the optimization of architected materials

We use a previously unexplored Bayesian optimization framework, “evolutionary Monte Carlo sampling,” to systematically design the arrangement of defects in an architected microlattice to maximize its strain energy density before undergoing catastrophic failure. Our algorithm searches a design space...

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Detalles Bibliográficos
Autores principales: Vangelatos, Zacharias, Sheikh, Haris Moazam, Marcus, Philip S., Grigoropoulos, Costas P., Lopez, Victor Z., Flamourakis, George, Farsari, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Physical and Materials Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8500519/
https://www.ncbi.nlm.nih.gov/pubmed/34623909
http://dx.doi.org/10.1126/sciadv.abk2218

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8500519/
https://www.ncbi.nlm.nih.gov/pubmed/34623909
http://dx.doi.org/10.1126/sciadv.abk2218

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