This paper introduces a bilinear log model for predicting the temperature-dependent ultimate strength of high-entropy alloys (HEAs). The model incorporates a break temperature (Tbreak), crucial for designing materials with desirable high-temperature properties. A global optimization technique enables concurrent parameter optimization across low and high-temperature regimes. The study also proposes a framework for jointly optimizing alloy properties, considering physics-based dependencies, and demonstrates its application to HEAs with high ultimate strength. The research emphasizes the importance of selecting appropriate optimization techniques based on data availability and accounting for variations in material properties.

B. Steingrimsson, X. Fan, X. Yang, M. C. Gao, Y. Zhang, P. K. Liaw