Composition-dependent ordering transformations in Pt-Fe nanoalloys

SignificanceDynamically understanding the microscopic processes governing ordering transformations has rarely been attained. The situation becomes even more challenging for nanoscale alloys, where the significantly increased surface-area-to-volume ratio not only opens up a variety of additional free...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 119; no. 14; p. e2117899119
Main Authors Chen, Xiaobo, Zhang, Siming, Li, Can, Liu, Zhijuan, Sun, Xianhu, Cheng, Shaobo, Zakharov, Dmitri N, Hwang, Sooyeon, Zhu, Yimei, Fang, Jiye, Wang, Guofeng, Zhou, Guangwen
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 05.04.2022
Proceedings of the National Academy of Sciences
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Summary:SignificanceDynamically understanding the microscopic processes governing ordering transformations has rarely been attained. The situation becomes even more challenging for nanoscale alloys, where the significantly increased surface-area-to-volume ratio not only opens up a variety of additional freedoms to initiate an ordering transformation but also allows for kinetic interplay between the surface and bulk due to their close proximity. We provide direct evidence of the microscopic processes controlling the ordering transformation through the surface-bulk interplay in Pt-Fe nanoalloys and new features rendered by variations in alloy composition and chemical stimuli. These results provide a mechanistic detail of ordering transformation phenomena which are widely relevant to nanoalloys as chemical ordering occurs in most multicomponent materials under suitable environmental bias.
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USDOE
BNL-223021-2022-JAAM
National Science Foundation (NSF)
USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division
SC0012704; SC0001135; SC0019445; ACI-1053575; DMR-1905422; DMR-1905572; DMR-1808383
Author contributions: G.Z. designed research; X.C., S.Z., and C.L. performed research; C.L., Z.L., X.S., S.C., D.N.Z., S.H., Y.Z., J.F., and G.W. contributed new reagents/analytic tools; X.C. and S.Z. analyzed data; and X.C. and G.Z. wrote the paper.
Edited by Alexis Bell, University of California, Berkeley, CA; received September 29, 2021; accepted February 7, 2022
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.2117899119