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Deviation from high-entropy configurations in the atomic distributions of a multi-principal-element alloy

Author

Listed:
  • Louis J. Santodonato

    (Oak Ridge National Laboratory
    The University of Tennessee)

  • Yang Zhang

    (Plasma, and Radiological Engineering, University of Illinois at Urbana-Champaign)

  • Mikhail Feygenson

    (Oak Ridge National Laboratory)

  • Chad M. Parish

    (Oak Ridge National Laboratory)

  • Michael C. Gao

    (National Energy Technology Laboratory
    URS Corporation)

  • Richard J.K. Weber

    (Materials Development Inc.
    Advanced Photon Source, Argonne National Laboratory)

  • Joerg C Neuefeind

    (Oak Ridge National Laboratory)

  • Zhi Tang

    (The University of Tennessee)

  • Peter K Liaw

    (The University of Tennessee)

Abstract

The alloy-design strategy of combining multiple elements in near-equimolar ratios has shown great potential for producing exceptional engineering materials, often known as ‘high-entropy alloys’. Understanding the elemental distribution, and, thus, the evolution of the configurational entropy during solidification, is undertaken in the present study using the Al1.3CoCrCuFeNi model alloy. Here we show that, even when the material undergoes elemental segregation, precipitation, chemical ordering and spinodal decomposition, a significant amount of disorder remains, due to the distributions of multiple elements in the major phases. The results suggest that the high-entropy alloy-design strategy may be applied to a wide range of complex materials, and should not be limited to the goal of creating single-phase solid solutions.

Suggested Citation

  • Louis J. Santodonato & Yang Zhang & Mikhail Feygenson & Chad M. Parish & Michael C. Gao & Richard J.K. Weber & Joerg C Neuefeind & Zhi Tang & Peter K Liaw, 2015. "Deviation from high-entropy configurations in the atomic distributions of a multi-principal-element alloy," Nature Communications, Nature, vol. 6(1), pages 1-13, May.
    • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms6964
    DOI: 10.1038/ncomms6964
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    Cited by:

    1. Vasileios Maroulas & Cassie Putman Micucci & Adam Spannaus, 2020. "A stable cardinality distance for topological classification," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(3), pages 611-628, September.

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