Intelligent generative design of TPMS scaffolds via BPNN-PSO bidirectional mapping for mechanical and hydrodynamic properties

The architectural design of implantable scaffolds represents a critical determinant, as it necessitates sufficient mechanical robustness and optimal porosity to facilitate cellular infiltration and nutrient transport. To address this challenge, a back propagation neural network (BPNN) was employed t...

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Detalles Bibliográficos

Autores principales:	Zhuangji Yu, Fangwei Qi, Mingli Yang, Tiantian He, Xiong Shuai, Cijun Shuai
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Taylor & Francis Group 2026-12-01
Colección:	Virtual and Physical Prototyping
Materias:	Machine learning TPMS scaffold bone tissue engineering 3D printing
Acceso en línea:	https://www.tandfonline.com/doi/10.1080/17452759.2026.2688691
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