| Issue Date | Title | Author(s) |
| 2020-02-01 | Fracture modeling of brittle biomaterials by the phase-field method | Wu, C; Fang, J; Zhang, Z; Entezari, A; Sun, G; Swain, MV; Li, Q |
| 2019-04 | A Novel Bone Substitute with High Bioactivity, Strength, and Porosity for Repairing Large and Load-Bearing Bone Defects. | Li, JJ; Dunstan, CR; Entezari, A; Li, Q; Steck, R; Saifzadeh, S; Sadeghpour, A; Field, JR; Akey, A; Vielreicher, M; Friedrich, O; Roohani-Esfahani, S-I; Zreiqat, H |
| 2022 | An experimental and numerical study of the microstructural and biomechanical properties of human peripheral nerve endoneurium for the design of tissue scaffolds. | Yan, L; Entezari, A; Zhang, Z; Zhong, J; Liang, J; Li, Q; Qi, J |
| 2023-02 | Nondeterministic multiobjective optimization of 3D printed ceramic tissue scaffolds. | Entezari, A; Liu, N-C; Zhang, Z; Fang, J; Wu, C; Wan, B; Swain, M; Li, Q |
| 2021-03-05 | A time-dependent mechanobiology-based topology optimization to enhance bone growth in tissue scaffolds. | Wu, C; Fang, J; Entezari, A; Sun, G; Swain, MV; Xu, Y; Steven, GP; Li, Q |
| 2021-08-20 | A machine learning-based multiscale model to predict bone formation in scaffolds | Wu, C; Entezari, A; Zheng, K; Fang, J; Zreiqat, H; Steven, GP; Swain, MV; Li, Q |
| 2021-12-01 | Redefining architectural effects in 3D printed scaffolds through rational design for optimal bone tissue regeneration | Mirkhalaf, M; Wang, X; Entezari, A; Dunstan, CR; Jiang, X; Zreiqat, H |
| 2019-04-25 | Bone Regeneration: A Novel Bone Substitute with High Bioactivity, Strength, and Porosity for Repairing Large and Load‐Bearing Bone Defects (Adv. Healthcare Mater. 8/2019) | Li, JJ; Dunstan, CR; Entezari, A; Li, Q; Steck, R; Saifzadeh, S; Sadeghpour, A; Field, JR; Akey, A; Vielreicher, M; Friedrich, O; Roohani‐Esfahani, S; Zreiqat, H |
| 2023-10 | Machine Learning-Based Design for Additive Manufacturing in Biomedical Engineering | Wu, C; Wan, B; Entezari, A; Fang, J; Xu, Y; Li, Q |
| 2021-06-01 | On fatigue failure prediction of prosthetic devices through XFEM analysis | Wan, B; Entezari, A; Zhang, Z; Wilson, T; Yoda, N; Zheng, K; Wu, C; Sun, G; Sasaki, K; Swain, M; Li, Q |
