Accelerating the Design of Resorbable Magnesium Alloys: A Machine Learning Approach to Property Prediction

This repository presents the datasets for data-driven machine learning framework developed for the accelerated design of resorbable magnesium (Mg) alloys for biomedical implant applications. Mg alloys, being lightweight and biodegradable, are strong candidates for temporary implant devices, but their performance is highly sensitive to alloy composition and thermomechanical processing. To address this challenge, we constructed a comprehensive pipeline to model and understand the complex composition–processing–property relationships in diluted Mg alloys.