most citedYield Strength-Plasticity Trade-Off and Uncertainty Quantification for Machine-learning-based Design of Refractory High-Entropy Alloys

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

collaborators

1 paper

cond-mat.mtrl-sci2023★ 2 cited

Yield Strength-Plasticity Trade-Off and Uncertainty Quantification for Machine-learning-based Design of Refractory High-Entropy Alloys

Stephen A. Giles, Hugh Shortt, Peter K. Liaw +1

Development of process-structure-property relationships in materials science is an important and challenging frontier which promises improved materials and reduced time and cost in…