Machine learning-assisted exploration and experimental assessment of β-type Ti54-xZr15Nb14Mo17Cux alloy with an ultra-low modulus for orthopedic applications

Journal of Materials Science 2026

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Authors: JianTao Liu, Ni Jin, Y. Y. Zhang, Jun Cheng, Aofei Xu, Xingda Huang, Xudong Liu, Yixuan He
DOI: 10.1007/s10853-025-12094-9
Cited by: 1
References: 56

Fields of Study & Subjects

Titanium Alloys Microstructure and Properties Orthopaedic implants and arthroplasty Magnesium Alloys: Properties and Applications

Publication details

Journal / source
Journal of Materials Science
Publisher
Springer Science and Business Media LLC
Volume
61
Issue
5
Pages
3501–3521
Publication date
4 January 2026
Language
EN