Can Empirical Biplots Predict High Entropy Oxide Phases?

High entropy oxides are entropy-stabilised oxides that adopt specific disordered structures due to entropy stabilisation. They are a new class of materials that utilises the high-entropy concept first discovered in metallic alloys. They can have interesting properties due to the interactions at the...

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Main Authors: Zhaoyuan Leong, Pratik Desai, Nicola Morley
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Journal of Composites Science
Subjects:
Online Access:https://www.mdpi.com/2504-477X/5/12/311
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author Zhaoyuan Leong
Pratik Desai
Nicola Morley
author_facet Zhaoyuan Leong
Pratik Desai
Nicola Morley
author_sort Zhaoyuan Leong
collection DOAJ
description High entropy oxides are entropy-stabilised oxides that adopt specific disordered structures due to entropy stabilisation. They are a new class of materials that utilises the high-entropy concept first discovered in metallic alloys. They can have interesting properties due to the interactions at the electronic level and can be combined with other materials to make composite structures. The design of new meta-materials that utilise this concept to solve real-world problems may be a possibility but further understanding of how their phase stabilisation is required. In this work, biplots of the composition’s mean electronegativity are plotted against the electron-per-atom ratio of the compounds. The test dataset accuracy in the resulting biplots improves from 78% to 100% when using atomic-number-per-atom <i>Z/a</i> ratios as a biplot parameter. Phase stability maps were constructed using a Voronoi tessellation. This can be of use in determining stability at composite material interfaces.
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spelling doaj.art-fd80d570775842cc9ccb2ce9798e9b5a2023-11-23T08:59:15ZengMDPI AGJournal of Composites Science2504-477X2021-11-0151231110.3390/jcs5120311Can Empirical Biplots Predict High Entropy Oxide Phases?Zhaoyuan Leong0Pratik Desai1Nicola Morley2Department of Materials Science and Engineering, University of Sheffield, Sheffield S1 3JD, UKPerlemax Limited, Sheffield S3 7HQ, UKDepartment of Materials Science and Engineering, University of Sheffield, Sheffield S1 3JD, UKHigh entropy oxides are entropy-stabilised oxides that adopt specific disordered structures due to entropy stabilisation. They are a new class of materials that utilises the high-entropy concept first discovered in metallic alloys. They can have interesting properties due to the interactions at the electronic level and can be combined with other materials to make composite structures. The design of new meta-materials that utilise this concept to solve real-world problems may be a possibility but further understanding of how their phase stabilisation is required. In this work, biplots of the composition’s mean electronegativity are plotted against the electron-per-atom ratio of the compounds. The test dataset accuracy in the resulting biplots improves from 78% to 100% when using atomic-number-per-atom <i>Z/a</i> ratios as a biplot parameter. Phase stability maps were constructed using a Voronoi tessellation. This can be of use in determining stability at composite material interfaces.https://www.mdpi.com/2504-477X/5/12/311high entropy oxidessemi empirical designmetamaterialsphase stability
spellingShingle Zhaoyuan Leong
Pratik Desai
Nicola Morley
Can Empirical Biplots Predict High Entropy Oxide Phases?
Journal of Composites Science
high entropy oxides
semi empirical design
metamaterials
phase stability
title Can Empirical Biplots Predict High Entropy Oxide Phases?
title_full Can Empirical Biplots Predict High Entropy Oxide Phases?
title_fullStr Can Empirical Biplots Predict High Entropy Oxide Phases?
title_full_unstemmed Can Empirical Biplots Predict High Entropy Oxide Phases?
title_short Can Empirical Biplots Predict High Entropy Oxide Phases?
title_sort can empirical biplots predict high entropy oxide phases
topic high entropy oxides
semi empirical design
metamaterials
phase stability
url https://www.mdpi.com/2504-477X/5/12/311
work_keys_str_mv AT zhaoyuanleong canempiricalbiplotspredicthighentropyoxidephases
AT pratikdesai canempiricalbiplotspredicthighentropyoxidephases
AT nicolamorley canempiricalbiplotspredicthighentropyoxidephases