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physics.app-ph2022
Physics-Based Machine Learning Approach for Modeling the Temperature-Dependent Yield Strength of Superalloys
Baldur Steingrimsson, Xuesong Fan, Benjamin Adam +1
In the pursuit of developing high-temperature alloys with improved properties for meeting the performance requirements of next-generation energy and aerospace demands, integrated c…
cond-mat.mtrl-sci2022
Physics-Based Machine-Learning Approach for Modeling the Temperature-Dependent Yield Strengths of Medium- or High-Entropy Alloys
Baldur Steingrimsson, Xuesong Fan, Rui Feng +1
Machine learning is becoming a powerful tool to predict temperature-dependent yield strengths (YS) of structural materials, particularly for multi-principal-element systems. Howeve…