Machine learning-based design of biodegradable Mg alloys for load-bearing implants

Machine learning-based design of biodegradable Mg alloys for load-bearing implants

For load-bearing applications, biodegradable Mg alloys require high strength and slow degradation rates to support bone regeneration. This study proposes a design guide of Mg-Zn-Mn-Sr-Ca (ZMJX) alloys for load-bearing Mg implants using machine learning. To this end, it quantitatively investigates th...

Full description

Bibliographic Details
Main Authors: Joung Sik Suh, Byeong-Chan Suh, Jun Ho Bae, Young Min Kim
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Materials & Design
Subjects:
Machine learning
Magnesium alloy
Biodegradable
Mechanical properties
Corrosion
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127522010656

Internet

http://www.sciencedirect.com/science/article/pii/S0264127522010656

Similar Items