Machine learning empowered compositional design of multiple rare-earth principal component disilicates for environmental barrier coatings applications

DOI

<p><span lang="EN-US">The targeted design of multi-RE-principal-component RE<sub>2</sub>Si<sub>2</sub>O<sub>7</sub> disilicates ((<em>n</em>RE<em><sub>xi</sub></em>)<sub>2</sub>Si<sub>2</sub>O<sub>7</sub>) for environmental barrier coatings (EBCs) applications requires customizing the multi-RE compositions to achieve maximal optimization on the target properties, with a prerequisite to control their high-temperature stabilized phase as β or γ polymorphs. This is challenged by their rich polymorphic phases varied with the elemental properties on the RE cationic sites. In this study, a random forest (RF) model is developed with high accuracy to classify the four types of high-temperature stabilized phase composition </span><span lang="EN-US">−</span><span lang="EN-US"> single-</span><span>β</span><span lang="EN-US">, single-</span><span>γ</span><span lang="EN-US">, single-</span><span>δ</span><span lang="EN-US">/mixed </span><span>δ</span><span lang="EN-US">+</span><span>γ</span><span lang="EN-US">, and phase separation </span><span>–</span><span lang="EN-US"> identifying the average RE<sup>3+</sup> cationic radius ( ) and the deviation of RE<sup>3+</sup> cationic radius ( ) as the most influential factors. The well-trained model is validated on the prediction of (Gd<sub>x1</sub>Ho<sub>x2</sub>Yb<sub>x3</sub>Lu<sub>x4</sub>)<sub>2</sub>Si<sub>2</sub>O<sub>7</sub> and (Nd<sub>x1</sub>Ho<sub>x2</sub>Yb<sub>x3</sub>Lu<sub>x4</sub>)<sub>2</sub>Si<sub>2</sub>O<sub>7</sub> systems, supported by experimental characterization of six representative compositions. High-throughput DFT calculations reveal that the formation of their high-temperature stabilized phases correlates with the the low energy costs to accommodate configurational randomness into the multicomponent system, characterized by rapid convergence of the configurational entropy of mixing with increased excitation energy. The design criteria for single-phase β-(<em>n</em>RE<em><sub>xi</sub></em>)<sub>2</sub>Si<sub>2</sub>O<sub>7</sub> and γ-(<em>n</em>RE<em><sub>xi</sub></em>)<sub>2</sub>Si<sub>2</sub>O<sub>7</sub> disilicates are established. This work provides an investigation paradigm enabling the targeted design of (<em>n</em>RE<em><sub>xi</sub></em>)<sub>2</sub>Si<sub>2</sub>O<sub>7</sub> EBCs materials. </span></p>

Identifier
DOI https://doi.org/10.24435/materialscloud:p8-ge
Related Identifier https://archive.materialscloud.org/communities/mcarchive
Related Identifier https://doi.org/10.24435/materialscloud:k7-wn
Metadata Access https://archive.materialscloud.org/oai2d?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:materialscloud.org:ftqw5-kr204
Provenance
Creator Yixiu, Luo; Xinyu, Gao; Ziyu, Wang; Cui, Zhou; Jiemin, Wang; Tiefeng, Du; Luchao, Sun; Jingyang, Wang; Ying, Xiong
Publisher Materials Cloud
Contributor Yixiu, Luo
Publication Year 2026
Rights info:eu-repo/semantics/openAccess; Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Contact archive(at)materialscloud.org
Representation
Language English
Resource Type info:eu-repo/semantics/other
Format application/zip; text/plain
Discipline Materials Science and Engineering