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arXiv · 2011.14403

Navigating the Complex Compositional Landscape of High-Entropy Alloys

Jie Qi·Andrew M. Cheung·S. Joseph Poon
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Abstract

High-entropy alloys, which exist in the high-dimensional composition space, provide enormous unique opportunities for realizing unprecedented structural and functional properties. A fundamental challenge, however, lies in how to predict the specific alloy phases and desirable properties accurately. This review article provides an overview of the data-driven methods published to date to tackle this exponentially hard problem of designing high-entropy alloys. Various utilizations of empirical parameters, first-principles and thermodynamic calculations, statistical methods, and machine learning are described. In an alternative method, the effectiveness of using phenomenological features and data-inspired adaptive features in the prediction of the high-entropy solid solution phases and intermetallic alloy composites is demonstrated. The prospect of high-entropy alloys as a new class of functional materials with improved properties is featured in light of entropic effects. The successes, challenges, and limitations of the current high-entropy alloys design are discussed, and some plausible future directions are presented.

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Jie Qi, Andrew M. Cheung, S. Joseph Poon. 2020-11-29. Navigating the Complex Compositional Landscape of High-Entropy Alloys. https://arxiv.org/abs/2011.14403

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