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Understanding and Leveraging Short Range Order in Compositionally Complex Alloys
Published
Author(s)
Mitra Taheri, Elaf Anber, Annie Barnett, Nick Birbilis, Brian DeCost, Daniel Foley, Emily Holcombe, Jonathan Hollenbach, Howie Joress, Yevgeny Rakita, James Rondinelli, Nathan Smith, Michael Waters, Chris Wolverton
Abstract
In this article, we review the opportunities and challenges associated with complex concentrated materials that exhibit short-range order. Although the presence of such phenomena has been theorized, accurate computational representation, characterization, and materials design have clear challenges associated with its complexity. Advances in both high-resolution and high-fidelity methods, as well as machine-learning-aided techniques, have paved a path for realization of complex concentrated systems with deterministic short-range order, and provide a foundation on which these alloys and materials can be developed for various applications in functional, structural, and biomedical applications.
Taheri, M.
, Anber, E.
, Barnett, A.
, Birbilis, N.
, DeCost, B.
, Foley, D.
, Holcombe, E.
, Hollenbach, J.
, Joress, H.
, Rakita, Y.
, Rondinelli, J.
, Smith, N.
, Waters, M.
and Wolverton, C.
(2023),
Understanding and Leveraging Short Range Order in Compositionally Complex Alloys, MRS Bulletin, [online], https://doi.org/10.1557/s43577-023-00591-8, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936654
(Accessed October 14, 2025)