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In this database, 238 titanium alloys were collected, almost entirely of biocompatible alloying elements. The primary motivation behind creating such a database is to establish a foundation for designing new alloys using machine learning methods. The database can assist researchers, engineers, and biomedical professionals in developing titanium alloys for various medical applications, thereby improving health outcomes and driving advancements in biomaterials and biomedical engineering. For more information read the paper at: https://doi.org/10.30544/MMD5 NOTE: To avoid misunderstandings, please cite both the database and the published article when citing this database. We invite other authors to contribute to the updating of this database (send at least 20 new alloys to appear as co-author)
biocompatibility, machine learning, Titanium Alloys Database; Biocompatible; Medical Applications; Biomedical; Non-Toxic Elements, titanium, medical, materials
biocompatibility, machine learning, Titanium Alloys Database; Biocompatible; Medical Applications; Biomedical; Non-Toxic Elements, titanium, medical, materials
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