Machine learning-assisted design of low elastic modulus β-type medical titanium alloys and experimental validation-Reference-Cited by-同舟云学术

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Machine learning-assisted design of low elastic modulus β-type medical titanium alloys and experimental validation

Published:2024-04 Issue: Volume:238 Page:112902
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Chai Cheng-ran,Wang Yang,Zhao Shuai,Zhang Yuan-xiang,Fang Feng,Peng Lin,Zhang Xiao-ming

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Postdoctoral Research Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Reference44 articles.

1. Effect of Sn addition on stress hysteresis and superelastic properties of a Ti-15Nb-3Mo alloy;Ijaz;Scr. Mater.,2014

2. Ti based biomaterials, the ultimate choice for orthopaedic implants-a review;Geetha;Prog. Mater. Sci.,2009

3. Perspectives on titanium science and technology;Dipankar;Acta. Mater.,2013

4. Biocompatibility of β-stabilizing elements of titanium alloys;Eisenbarth;Biomaterials.,2004

5. A cluster-plus-glue-atom model for composition design of complex alloys;Dong;Chin. J. Nonferrous Met.,2011

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