Items where Author is "Nam, SY"

ZOLFAGHARIAN, A., JIN, L., GE, Q., LIAO, W.-H., DÍAZ LANTADA, A., MARTÍNEZ, F.F., ZHANG, T., LIU, T., WANG, C.C.L., MOSALLANEJAD, M.H., GHANAVATI, R., SABOORI, A., DE BLAS DE MIGUEL, A., SOLÓRZANO-REQUEJO, W., CAI, Y., DONG, X., QU, H., SAMADIANI, N., HUANG, G., DOWNEY, A., FU, Y., YUAN, L., LEE, T.-K., BANIYA, A.A., WASEEM, E., SANI, A.R., KOUZANI, A.Z., WU, Y., NEMITZ, M.P., SHIRZAD, M., OH, D., NAM, S.Y., BONATTI, A.F., CHIESA, I., FORTUNATO, G.M., VOZZI, G., DE MARIA, C. and BODAGHI, M., 2026. Roadmap on artificial intelligence‐augmented additive manufacturing. Advanced Intelligent Systems: e202500484. ISSN 2640-4567

SHIRZAD, M., ZOLFAGHARIAN, A., NAM, S.Y. and BODAGHI, M., 2026. A comprehensive review on hybrid lattice meta-structures for biomedical engineering applications. European Journal of Mechanics - A/Solids, 116 (Part A): 105878. ISSN 0997-7538

SHIRZAD, M., KANG, J., BODAGHI, M. and NAM, S.Y., 2025. Design and prediction of soft-to-hard transitions using bioinspired hierarchical-gradient designs and hybrid stacking machine learning. Computers in Biology and Medicine, 198 (Part A): 111143. ISSN 0010-4825

SHIRZAD, M., CHASHMI, M.J., KHAKZADKELARIJANI, S., KANG, J., BODAGHI, M. and NAM, S.Y., 2025. Machine‐learning‐assisted design and optimization of auxetic structures: a bioinspired approach to mimic natural tissues. Advanced Engineering Materials. ISSN 1438-1656

SHIRZAD, M., KANG, J., KIM, G., BODAGHI, M. and NAM, S.Y., 2024. Bioinspired 3D-printed auxetic structures with enhanced fatigue behavior. Advanced Engineering Materials. ISSN 1438-1656

SHIRZAD, M., BODAGHI, M., OH, D., YI, M. and NAM, S.Y., 2024. Design and optimization of bioinspired auxetic structure for biomedical applications. European Journal of Mechanics - A/Solids, 103: 105139. ISSN 0997-7538

SHIRZAD, M., ZOLFAGHARIAN, A., BODAGHI, M. and NAM, S.Y., 2023. Auxetic metamaterials for bone-implanted medical devices: recent advances and new perspectives. European Journal of Mechanics - A/Solids, 98: 104905. ISSN 0997-7538