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

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

collaborators

2 papers

cond-mat.mtrl-sci2025

High-Throughput Exploration of Refractory High-Entropy Alloys for Strength and Plasticity

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

Refractory high-entropy alloys (RHEAs) are compositionally complex materials which have been demonstrated to have the potential for exceptional strength at high operating temperatu…

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…