Machine learning-guided accelerated discovery of structure-property correlations in lean magnesium alloys for biomedical applications

Machine learning-guided accelerated discovery of structure-property correlations in lean magnesium alloys for biomedical applications

Magnesium alloys are emerging as promising alternatives to traditional orthopedic implant materials thanks to their biodegradability, biocompatibility, and impressive mechanical characteristics. However, their rapid in-vivo degradation presents challenges, notably in upholding mechanical integrity o...

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Bibliographic Details
Main Authors: Sreenivas Raguraman, Maitreyee Sharma Priyadarshini, Tram Nguyen, Ryan McGovern, Andrew Kim, Adam J. Griebel, Paulette Clancy, Timothy P. Weihs
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-06-01
Series:Journal of Magnesium and Alloys
Subjects:
Magnesium alloys
Machine learning
Corrosion
Mechanical properties
Rapid characterization
Online Access:http://www.sciencedirect.com/science/article/pii/S2213956724002093

Internet

http://www.sciencedirect.com/science/article/pii/S2213956724002093

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