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Oxide degradation precedes additively manufactured Ti-6Al-4V selective dissolution: An unsupervised machine learning correlation of impedance and dissolution compared to Ti-29Nb-21Zr
Journal article   Open access   Peer reviewed

Oxide degradation precedes additively manufactured Ti-6Al-4V selective dissolution: An unsupervised machine learning correlation of impedance and dissolution compared to Ti-29Nb-21Zr

Michael A Kurtz, Kazzandra Alaniz, Peter W Kurtz, Audrey C Wessinger, Aldo Moreno-Reyes and Jeremy L Gilbert
Journal of biomedical materials research. Part A, v 112(8), pp 1250-1264
Aug 2024
PMID: 37877770
url
https://doi.org/10.1002/jbm.a.37632View
Published, Version of Record (VoR) Open

Abstract

Alloys - chemistry Corrosion Dielectric Spectroscopy Electric Impedance Machine Learning Materials Testing Niobium - chemistry Oxides - chemistry Solubility Titanium - chemistry Zirconium - chemistry

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4 citations in Scopus

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UN Sustainable Development Goals (SDGs)

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#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Engineering, Biomedical
Materials Science, Biomaterials
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