Machine Learning-Enabled Tomographic Imaging of Chemical Short-Range Atomic Ordering.
artificial intelligence
atomic‐scale characterization
high/medium‐entropy alloys
local chemical ordering
tomographic imaging
Journal
Advanced materials (Deerfield Beach, Fla.)
ISSN: 1521-4095
Titre abrégé: Adv Mater
Pays: Germany
ID NLM: 9885358
Informations de publication
Date de publication:
12 Aug 2024
12 Aug 2024
Historique:
revised:
24
07
2024
received:
28
05
2024
medline:
13
8
2024
pubmed:
13
8
2024
entrez:
13
8
2024
Statut:
aheadofprint
Résumé
In solids, chemical short-range order (CSRO) refers to the self-organization of atoms of certain species occupying specific crystal sites. CSRO is increasingly being envisaged as a lever to tailor the mechanical and functional properties of materials. Yet quantitative relationships between properties and the morphology, number density, and atomic configurations of CSRO domains remain elusive. Herein, it is showcased how machine learning-enhanced atom probe tomography (APT) can mine the near-atomically resolved APT data and jointly exploit the technique's high elemental sensitivity to provide a 3D quantitative analysis of CSRO in a CoCrNi medium-entropy alloy. Multiple CSRO configurations are revealed, with their formation supported by state-of-the-art Monte-Carlo simulations. Quantitative analysis of these CSROs allows establishing relationships between processing parameters and physical properties. The unambiguous characterization of CSRO will help refine strategies for designing advanced materials by manipulating atomic-scale architectures.
Identifiants
pubmed: 39135414
doi: 10.1002/adma.202407564
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2407564Subventions
Organisme : European Research Council
ID : ERC-SHINE(771602)
Pays : International
Organisme : Natural Science Foundation of Hunan Province
ID : 2022JJ30712
Organisme : State Key Laboratory of Powder Metallurgy, Central South University
Organisme : Deutsche Forschungsgemeinschaft
ID : SPP 2006
Organisme : Deutsche Forschungsgemeinschaft
ID : DFG 5080/3-1
Organisme : Alexander von Humboldt-Stiftung
Organisme : Next Generation TATARA Project
Informations de copyright
© 2024 The Author(s). Advanced Materials published by Wiley‐VCH GmbH.
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