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[2] A. Farazin, S. F. Darghiasi, Advancements in dental implant design: addressing current challenges and exploring future opportunities, Journal of the Australian Ceramic Society, pp. 1-15, 2025.
[3] R. Dubey, A. A. Ansari, Y. Lee, S. Gai, R. Lv, Z. Ju, S. Mohammad, P. Yang, L. Singh, Molecular dynamics-to-machine learning for deep eutectics in energy storages, Renewable and Sustainable Energy Reviews, Vol. 212, pp. 115358, 2025.
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[11] A. Farazin, A. H. Ghasemi, Design, synthesis, and fabrication of chitosan/hydroxyapatite composite scaffold for use as bone replacement tissue by sol–gel method, Journal of Inorganic and Organometallic Polymers and Materials, Vol. 32, No. 8, pp. 3067-3082, 2022.
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[13] A. Farazin, S. Mahjoubi, Dual-functional Hydroxyapatite scaffolds for bone regeneration and precision drug delivery, Journal of the Mechanical Behavior of Biomedical Materials, Vol. 157, pp. 106661, 2024.
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[15] A. Zarei, A. Farazin, Machine learning insights into the influence of carbon nanotube dimensions on nanocomposite properties: A comprehensive exploration, Journal of Computational Applied Mechanics, Vol. 55, No. 3, pp. 462-472, 2024.
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[20] A. Farazin, S. F. Darghiasi, Advanced polymeric scaffolds for bone tissue regeneration, Exploration of BioMat-X, Vol. 2, pp. 101340, 2025.
[21] A. Farazin, A. Gheisizadeh, Revolutionizing bone repair and regeneration: The role of machine learning in designing advanced nanocomposite hydrogels, Polymers for Advanced Technologies, Vol. 36, No. 4, pp. e70161, 2025.
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[24] A. Farazin, M. Mohammadimehr, Effect of different parameters on the tensile properties of printed Polylactic acid samples by FDM: experimental design tested with MDs simulation, The International Journal of Advanced Manufacturing Technology, Vol. 118, No. 1, pp. 103-118, 2022.
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