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:https://doi.org/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

Department of Materials Engineering

Ben-Gurion University of the Negev

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

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	American English
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 - 1 Dec 2023

Keywords

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

All Science Journal Classification (ASJC) codes

Condensed Matter Physics
General Materials Science
Physical and Theoretical Chemistry

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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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title = "Understanding and leveraging short-range order in compositionally complex alloys",

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.].",

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

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",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive License to the Materials Research Society.",

year = "2023",

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doi = "https://doi.org/10.1557/s43577-023-00591-8",

language = "American English",

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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

TY - JOUR

T1 - Understanding and leveraging short-range order in compositionally complex alloys

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 - 2023/12/1

Y1 - 2023/12/1

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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DO - https://doi.org/10.1557/s43577-023-00591-8

M3 - Review article

SN - 0883-7694

VL - 48

SP - 1280

EP - 1291

JO - MRS Bulletin

JF - MRS Bulletin

IS - 12

ER -

Understanding and leveraging short-range order in compositionally complex alloys

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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