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High-throughput and data-driven machine learning techniques for discovering high-entropy alloys
High-entropy alloys exhibit attractive property combinations. This review paper discusses the use of the materials genome strategy for identifying promising high-entropy alloys, including high-throughout synthesis, characterization, and data-driven machine learning.
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