arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2011.14403cond-mat.mtrl-scicond-mat.dis-nn
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导航高熵合金的复杂组成景观

Navigating the Complex Compositional Landscape of High-Entropy Alloys

Jie Qi, Andrew M. Cheung, S. Joseph Poon

摘要:

高熵合金存在于高维组成空间中,为实现前所未有的结构和功能特性提供了巨大的独特机会。然而,一个根本的挑战在于如何准确地预测特定的合金相和所需的性能。这篇综述文章概述了迄今为止发表的数据驱动方法,以解决设计高熵合金的指数难题。各种利用的经验参数,第一性原理和热力学计算,统计方法,和机器学习。在另一种方法中,使用唯象特征和数据启发的自适应特征在高熵固溶体相和金属间合金复合材料的预测中的有效性被证明。从熵效应的角度展望了高熵合金作为一种新型功能材料的发展前景。成功,挑战和目前的高熵合金设计的局限性进行了讨论,并提出了一些合理的未来方向。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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