Machine Learning Assisted Prediction of Microstructures and Young’s Modulus of Biomedical Multi-Component β-Ti Alloys

Machine Learning Assisted Prediction of Microstructures and Young’s Modulus of Biomedical Multi-Component β-Ti Alloys

Recently, the development of β-titanium (Ti) alloys with a low Young’s modulus as human implants has been the trend of research in biomedical materials. However, designing β-titanium alloys by conventional experimental methods is too costly and inefficient. Therefore, it is necessary to propose a me...

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Bibliographic Details
Main Authors: Xingjun Liu, Qinghua Peng, Shaobin Pan, Jingtao Du, Shuiyuan Yang, Jiajia Han, Yong Lu, Jinxin Yu, Cuiping Wang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Metals
Subjects:
biomedical titanium alloys
machine learning
Young’s modulus
microstructures
β-phase
Online Access:https://www.mdpi.com/2075-4701/12/5/796

Internet

https://www.mdpi.com/2075-4701/12/5/796

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