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

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2026★ 2 cited

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

Vickey Nandal, Vít Beneš, Pavel Baláž +2

Resorbable magnesium (Mg) alloys are promising candidates for temporary medical devices due to their biodegradability and favorable mechanical properties. To accelerate the design…