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Multi-objective machine learning optimization of cylindrical TPMS lattices for bone implants

author
Rezapourianghahfarokhi, Mansoureh
Cheloee Darabi, Ali
Khoshbin, Mohammadreza
Hussainova, Irina
statement of authorship
Mansoureh Rezapourian, Ali Cheloee Darabi, Mohammadreza Khoshbin and Irina Hussainova
source
special issue
Biomimicry and Functional Materials ; 5th Edition
publisher
journal volume number month
vol. 10, 7
year of publication
pages
art. 475
url
ISSN
2313-7673
Open Access
Open Access
scientific publication
teaduspublikatsioon
language
English
subject term
keyword
artificial neural networks (ANN)
bone implants
finite element analysis (FEA)
Johnson–Cook failure model
machine learning (ML)
mechanical property prediction
multi-objective optimization (MOO)
Pareto front analysis
size-specific implant design
triply periodic minimal surfaces (TPMS)
classifier
1.1
Scopus
scopus
Rezapourian, M., Cheloee Darabi, Ali., Khoshbin, M., Hussainova, I. Multi-objective machine learning optimization of cylindrical TPMS lattices for bone implants // Biomimetics (2025) vol. 10, 7, art. 475. http://doi.org/10.3390/biomimetics10070475