Understanding and leveraging short-range order in compositionally complex alloys

  • Mitra L. Taheri
  • , Elaf Anber
  • , Annie Barnett
  • , Simon Billinge
  • , Nick Birbilis
  • , Brian DeCost
  • , Daniel L. Foley
  • , Emily Holcombe
  • , Jonathan Hollenbach
  • , Howie Joress
  • , Georgia Leigh
  • , Yevgeny Rakita
  • , James M. Rondinelli
  • , Nathan Smith
  • , Michael J. Waters
  • , Chris Wolverton

Research output: Contribution to journalReview articlepeer-review

11 Scopus citations

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. Graphical abstract: [Figure not available: see fulltext.].

Original languageEnglish
Pages (from-to)1280-1291
Number of pages12
JournalMRS Bulletin
Volume48
Issue number12
DOIs
StatePublished - 1 Dec 2023

Keywords

  • Extended x-ray absorption fine structure (EXAFS)
  • High-entropy alloys
  • Machine learning
  • Spectroscopy
  • Transmission electron microscopy (TEM)

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics
  • Physical and Theoretical Chemistry

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