Page 121 - Read Online

Chen et al. J Mater Inf 2023;3:10 Journal of
DOI: 10.20517/jmi.2023.06
Materials Informatics

Review Open Access

Data-driven design of eutectic high entropy alloys

1
Zhaoqi Chen , Yong Yang 1,2,3,*
1
Department of Mechanical Engineering, City University of Hong Kong, Hong Kong 999077, China.
2
Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong 999077, China.
3
Department of Advanced Design and System Engineering, City University of Hong Kong, Hong Kong 999077, China.
* Correspondence to: Prof. Yong Yang, Department of Mechanical Engineering, City University of Hong Kong, Tat Chee
Avenue, Kowloon Tong, Kowloon, Hong Kong 999077, China. E-mail: yonyang@cityu.edu.hk
How to cite this article: Chen Z, Yang Y. Data-driven design of eutectic high entropy alloys. J Mater Inf 2023;3:xx.
https://dx.doi.org/10.20517/jmi.2023.06
Received: 2 Feb 2023 First Decision: 3 Mar 2023 Revised: 18 Mar 2023 Accepted: 6 Apr 2023 Published: 28 Apr 2023

Academic Editor: Xingjun Liu Copy Editor: Ke-Cui Yang Production Editor: Ke-Cui Yang

Abstract
Eutectic high entropy alloys (EHEAs) have attracted tremendous research interest over the past decade due to
their superior physical and mechanical properties. Given the compositional complexity, there are no
well-established phase diagrams for EHEAs. Therefore, the compositional design of EHEAs has been following a
trial-and-error empirical approach, which is time-consuming, costly, and ineffective. To accelerate the search for
EHEAs, data-driven approaches, particularly machine learning (ML) based modeling, have recently been utilized in
lieu of the traditional empirical approach. In this article, we provide a critical overview of the recent efforts in the
design and development of EHEAs, which covers the various empirical methods and the state-of-the-art machine
learning models developed for EHEAs. In addition, we also briefly discuss the mechanical properties and plasticity
strengthening mechanisms in EHEAs which are related to their heterogeneous microstructure, such as
heterogeneous deformation induced strengthening, twinning induced strengthening, and phase transformation
induced strengthening.

Keywords: Eutectic alloys, high entropy alloys, machine learning, alloy design, mechanical properties

INTRODUCTION
Eutectic alloy, in which at least two phases form and grow in a coupled manner during solidification, has
[1,2]
attracted immense attention and interest in both academia and industries in past decades . The term

© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0
International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
indicate if changes were made.

www.jmijournal.com