Machine Learning Assisted Prediction of Microstructures and Young’s Modulus of Biomedical Multi-Comp...
Machine Learning Assisted Prediction of Microstructures and Young’s Modulus of Biomedical Multi-Component β-Ti Alloys
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Author / Creator
Liu, Xingjun , Peng, Qinghua , Pan, Shaobin , Du, Jingtao , Yang, Shuiyuan , Han, Jiajia , Lu, Yong , Yu, Jinxin and Wang, Cuiping
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
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 method that can efficiently and reliably predict the...
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Full title
Machine Learning Assisted Prediction of Microstructures and Young’s Modulus of Biomedical Multi-Component β-Ti Alloys
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_ff36a07c95134594b3c3965aa4cd65fa
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ff36a07c95134594b3c3965aa4cd65fa
Other Identifiers
ISSN
2075-4701
E-ISSN
2075-4701
DOI
10.3390/met12050796
