IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-34335-0.html
   My bibliography  Save this article

Data-driven electron-diffraction approach reveals local short-range ordering in CrCoNi with ordering effects

Author

Listed:
  • Haw-Wen Hsiao

    (University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign)

  • Rui Feng

    (Oak Ridge National Laboratory)

  • Haoyang Ni

    (University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign)

  • Ke An

    (Oak Ridge National Laboratory)

  • Jonathan D. Poplawsky

    (Oak Ridge National Laboratory)

  • Peter K. Liaw

    (The University of Tennessee Knoxville)

  • Jian-Min Zuo

    (University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign)

Abstract

The exceptional mechanical strength of medium/high-entropy alloys has been attributed to hardening in random solid solutions. Here, we evidence non-random chemical mixing in a CrCoNi alloy, resulting from short-range ordering. A data-mining approach of electron nanodiffraction enabled the study, which is assisted by neutron scattering, atom probe tomography, and diffraction simulation using first-principles theory models. Two samples, one homogenized and one heat-treated, are observed. In both samples, results reveal two types of short-range-order inside nanoclusters that minimize the Cr–Cr nearest neighbors (L12) or segregate Cr on alternating close-packed planes (L11). The L11 is predominant in the homogenized sample, while the L12 formation is promoted by heat-treatment, with the latter being accompanied by a dramatic change in dislocation-slip behavior. These findings uncover short-range order and the resulted chemical heterogeneities behind the mechanical strength in CrCoNi, providing general opportunities for atomistic-structure study in concentrated alloys for the design of strong and ductile materials.

Suggested Citation

  • Haw-Wen Hsiao & Rui Feng & Haoyang Ni & Ke An & Jonathan D. Poplawsky & Peter K. Liaw & Jian-Min Zuo, 2022. "Data-driven electron-diffraction approach reveals local short-range ordering in CrCoNi with ordering effects," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34335-0
    DOI: 10.1038/s41467-022-34335-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-34335-0
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-022-34335-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang Yang & Sheng Yin & Qin Yu & Yingxin Zhu & Jun Ding & Ruopeng Zhang & Colin Ophus & Mark Asta & Robert O. Ritchie & Andrew M. Minor, 2024. "Rejuvenation as the origin of planar defects in the CrCoNi medium entropy alloy," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    2. Yue Li & Ye Wei & Zhangwei Wang & Xiaochun Liu & Timoteo Colnaghi & Liuliu Han & Ziyuan Rao & Xuyang Zhou & Liam Huber & Raynol Dsouza & Yilun Gong & Jörg Neugebauer & Andreas Marek & Markus Rampp & S, 2023. "Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34335-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.