Recent Progress in High Entropy Alloy Research

MacDonald, Benjamin E.; Fu, Zhaohui; Zheng, Baolong; Chen, W.; Lin, Yu-Hsien; Chen, F.; Zhang, L.; Ivanisenko, Julia; Zhou, Yizhang; Hahn, Horst; Lavernia, Enrique J.

doi:10.1007/s11837-017-2484-6

Cited by 119 publications

(57 citation statements)

References 29 publications

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“…In the early HEA literature, the idea of "severely distorted lattice" was proposed as one of the "four core effects" for HEAs (Yeh, 2015;Macdonald et al, 2017). This idea may be rooted into the hard sphere model, as schematically shown in Figure 1, i.e., if all constituent elements keep their original size and are forced into a common lattice, a severely distorted lattice may result if a large atom size difference is present.…”

Section: Hard Sphere Modelmentioning

confidence: 99%

On Lattice Distortion in High Entropy Alloys

Yang

2018

Front. Mater.

121

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Lattice distortion in high entropy alloys (HEAs) is an issue of fundamental importance but yet to be fully understood. In this article, we first focus on the recent research dedicated to lattice distortion in HEAs with an emphasis on the basic understanding derived from theoretical modeling and atomistic simulations. After that, we discuss the implications of the recent research findings on lattice distortion, which can be related to the phase transformation, dislocation dynamics and yielding in HEAs.

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Section: Hard Sphere Modelmentioning

confidence: 99%

On Lattice Distortion in High Entropy Alloys

Yang

2018

Front. Mater.

121

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“…[2][3][4] Compared with traditional alloys, HEAs usually contain more than five elements mixed with a similar atomic fraction, thereby also known as multiprincipal element alloys 1 or compositionally concentrated alloys. 2 Based on the assumption of ideal mixing, Yeh et al 5 proposed that an equal-atomic composition maximizes the configurational entropy of an HEA, therefore, in favor of the formation of random solid solution (SS) over other phases, such as intermetallics (IM). Conceptually, the idea of HEAs 1 suggests that, as the number of the constituent elements increases in HEAs, the possibility for the formation of SS should increase.…”

Section: Introductionmentioning

confidence: 99%

Machine learning guided appraisal and exploration of phase design for high entropy alloys

et al. 2019

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High entropy alloys (HEAs) and compositionally complex alloys (CCAs) have recently attracted great research interest because of their remarkable mechanical and physical properties. Although many useful HEAs or CCAs were reported, the rules of phase design, if there are any, which could guide alloy screening are still an open issue. In this work, we made a critical appraisal of the existing design rules commonly used by the academic community with different machine learning (ML) algorithms. Based on the artificial neural network algorithm, we were able to derive and extract a sensitivity matrix from the ML modeling, which enabled the quantitative assessment of how to tune a design parameter for the formation of a certain phase, such as solid solution, intermetallic, or amorphous phase. Furthermore, we explored the use of an extended set of new design parameters, which had not been considered before, for phase design in HEAs or CCAs with the ML modeling. To verify our ML-guided design rule, we performed various experiments and designed a series of alloys out of the Fe-Cr-Ni-Zr-Cu system. The outcomes of our experiments agree reasonably well with our predictions, which suggests that the ML-based techniques could be a useful tool in the future design of HEAs or CCAs.

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“…Suitable HEA design strategies regarding choosing the elements are vital for different industrial applications. Currently, several review articles on HEAs [6,37,41,42,[62][63][64][65][66][104][105][106][107] and two books [5,108] have been published with the focus on HEAs progress, solid solution formation rules, and a critical assessment of the fundamental principles of HEAs. In contrast, the current review article imparts the outstanding properties of HEAs as a potential candidate for high-temperature applications and also highlights the need for a profound research work on the high-temperature behavior of HEAs.…”

Section: Introductionmentioning

confidence: 99%

High‐Entropy Alloys: Potential Candidates for High‐Temperature Applications – An Overview

2017

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Multi-principal elemental alloys, commonly referred to as high-entropy alloys (HEAs), are a new class of emerging advanced materials with novel alloy design concept. Unlike the design of conventional alloys, which is based on one or at most two principal elements, the design of HEA is based on multi-principal elements in equal or near-equal atomic ratio. The advent of HEA has revived the alloy design perception and paved the way to produce an ample number of compositions with different combinations of promising properties for a variety of structural applications. Among the properties possessed by HEAs, sluggish diffusion and strength retention at elevated temperature have caught wide attention. The need to develop new materials for high-temperature applications with superior high-temperature properties over superalloys has been one of the prime concerns of the high-temperature materials research community. The current article shows that HEAs have the potential to replace Ni-base superalloys as the next generation hightemperature materials. This review focuses on the phase stability, microstructural stability, and high-temperature mechanical properties of HEAs. This article will be highly beneficial for materials science and engineering community whose interest is in the development and understanding of HEAs for high-temperature applications.

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Recent Progress in High Entropy Alloy Research

Cited by 119 publications

References 29 publications

On Lattice Distortion in High Entropy Alloys

On Lattice Distortion in High Entropy Alloys

Machine learning guided appraisal and exploration of phase design for high entropy alloys

High‐Entropy Alloys: Potential Candidates for High‐Temperature Applications – An Overview

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