täiskirje prindi

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

autor
Rezapourianghahfarokhi, Mansoureh
Cheloee Darabi, Ali
Khoshbin, Mohammadreza
Hussainova, Irina
vastutusandmed
Mansoureh Rezapourian, Ali Cheloee Darabi, Mohammadreza Khoshbin and Irina Hussainova
allikas
ajakirja erinumber
Biomimicry and Functional Materials ; 5th Edition
kirjastus/väljaandja
ajakirja aastakäik number kuu
vol. 10, 7
ilmumisaasta
leheküljed
art. 475
leitav
ISSN
2313-7673
Open Access
Open Access
teaduspublikatsioon
teaduspublikatsioon
keel
Inglise
märksõna
võtmesõna
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)
klassifikaator
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