Harnessing the Complex Compositional Space of High-Entropy Alloys View Full Text


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Chapter Info

DATE

2021

AUTHORS

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

ABSTRACT

High-entropy alloys reside in the complex, high-dimensional composition space. A fundamental challenge of high-entropy alloys development lies in how to predict the specific alloy phases and properties accurately. This chapter provides an overview of the data-driven approaches employed to date to tackle this exponentially hard problem of designing high-entropy alloys. Various utilizations of empirical parameters, statistical methods, first-principles and thermodynamic calculations, and machine learning are reviewed. In an alternative approach, the effectiveness of using phenomenological features and data-inspired adaptive features in the prediction of the compositions of high-entropy solid solution phases and intermetallic alloy composites is demonstrated. The prospect of high-entropy alloys as a new class of high-performance functional materials is discussed in light of the influence of entropic effects. The challenges and limitations of the current approaches to high-entropy alloys design are pointed out, and some plausible future developments are presented. More... »

PAGES

63-113

Book

TITLE

High-Entropy Materials: Theory, Experiments, and Applications

ISBN

978-3-030-77640-4
978-3-030-77641-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-77641-1_3

DOI

http://dx.doi.org/10.1007/978-3-030-77641-1_3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1144363577


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