Horikawa, S.; Suzuki, K.; Motojima, K.; Nakano, K.; Nagaya, M.; Nagashima, H.; Kaneko, H.; Aizawa, M.
Material Design of Porous Hydroxyapatite Ceramics via Inverse Analysis of an Estimation Model for Bone-Forming Ability Based on Machine Learning and Experimental Validation of Biological Hard Tissue Responses. Materials 2024, 17, 571.
https://doi.org/10.3390/ma17030571
AMA Style
Horikawa S, Suzuki K, Motojima K, Nakano K, Nagaya M, Nagashima H, Kaneko H, Aizawa M.
Material Design of Porous Hydroxyapatite Ceramics via Inverse Analysis of an Estimation Model for Bone-Forming Ability Based on Machine Learning and Experimental Validation of Biological Hard Tissue Responses. Materials. 2024; 17(3):571.
https://doi.org/10.3390/ma17030571
Chicago/Turabian Style
Horikawa, Shota, Kitaru Suzuki, Kohei Motojima, Kazuaki Nakano, Masaki Nagaya, Hiroshi Nagashima, Hiromasa Kaneko, and Mamoru Aizawa.
2024. "Material Design of Porous Hydroxyapatite Ceramics via Inverse Analysis of an Estimation Model for Bone-Forming Ability Based on Machine Learning and Experimental Validation of Biological Hard Tissue Responses" Materials 17, no. 3: 571.
https://doi.org/10.3390/ma17030571
APA Style
Horikawa, S., Suzuki, K., Motojima, K., Nakano, K., Nagaya, M., Nagashima, H., Kaneko, H., & Aizawa, M.
(2024). Material Design of Porous Hydroxyapatite Ceramics via Inverse Analysis of an Estimation Model for Bone-Forming Ability Based on Machine Learning and Experimental Validation of Biological Hard Tissue Responses. Materials, 17(3), 571.
https://doi.org/10.3390/ma17030571
