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

doi:10.1557/s43577-023-00591-8

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

^*Corresponding author for this work

Materials Science and Engineering

Research output: Contribution to journal › Review article › peer-review

6 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 language	English (US)
Pages (from-to)	1280-1291
Number of pages	12
Journal	MRS Bulletin
Volume	48
Issue number	12
DOIs	https://doi.org/10.1557/s43577-023-00591-8
State	Published - Dec 2023

Funding

M.L.T., J.H., N.S., C.W., J.R., M.W., and G.L. gratefully acknowledge funding in part from the Office of Naval Research (ONR) through the Multidisciplinary University Research Initiative (MURI) program (Award No. N00014-20-1-2368) with program managers D. Shifler and W. Nickerson. M.L.T., D.L.F., and Y.R. also acknowledge funding in part from ONR through Award No. N00014-20-1-2788 with program manager W. Mullins. M.L.T, A.B., and E.A. acknowledge funding in part from the US Department of Energy (DOE), Office of Science, Basic Energy Sciences through Award No. DE-SC0020314 with program manager J. Vetrano. S.B and Y.R. acknowledge funding from the Next Generation Synthesis Center (GENESIS), an Energy Frontier Research Center funded by the DOE, Office of Science, Basic Energy Sciences (Award No. DE-SC0019212).

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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10.1557/s43577-023-00591-8

Cite this

Taheri, M. L., Anber, E., Barnett, A., Billinge, S., Birbilis, N., DeCost, B., Foley, D. L., Holcombe, E., Hollenbach, J., Joress, H., Leigh, G., Rakita, Y., Rondinelli, J. M., Smith, N., Waters, M. J., & Wolverton, C. (2023). Understanding and leveraging short-range order in compositionally complex alloys. MRS Bulletin, 48(12), 1280-1291. https://doi.org/10.1557/s43577-023-00591-8

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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.].",

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

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doi = "10.1557/s43577-023-00591-8",

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Taheri, ML, Anber, E, Barnett, A, Billinge, S, Birbilis, N, DeCost, B, Foley, DL, Holcombe, E, Hollenbach, J, Joress, H, Leigh, G, Rakita, Y, Rondinelli, JM, Smith, N, Waters, MJ & Wolverton, C 2023, 'Understanding and leveraging short-range order in compositionally complex alloys', MRS Bulletin, vol. 48, no. 12, pp. 1280-1291. https://doi.org/10.1557/s43577-023-00591-8

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AU - Taheri, Mitra L.

AU - Anber, Elaf

AU - Barnett, Annie

AU - Billinge, Simon

AU - Birbilis, Nick

AU - DeCost, Brian

AU - Foley, Daniel L.

AU - Holcombe, Emily

AU - Hollenbach, Jonathan

AU - Joress, Howie

AU - Leigh, Georgia

AU - Rakita, Yevgeny

AU - Rondinelli, James M.

AU - Smith, Nathan

AU - Waters, Michael J.

AU - Wolverton, Chris

PY - 2023/12

Y1 - 2023/12

N2 - 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.].

AB - 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.].

KW - Extended x-ray absorption fine structure (EXAFS)

KW - High-entropy alloys

KW - Machine learning

KW - Spectroscopy

KW - Transmission electron microscopy (TEM)

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Understanding and leveraging short-range order in compositionally complex alloys

Abstract

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Keywords

ASJC Scopus subject areas

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