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A nexus between 3D atomistic data hybrids derived from atom probe microscopy and computational materials science: a new analysis of solute clustering in Al-alloys

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Title: A nexus between 3D atomistic data hybrids derived from atom probe microscopy and computational materials science: a new analysis of solute clustering in Al-alloys
Authors: Gault, B
Cui, XY
Moody, MP
Ceguerra, AV
Breen, AJ
Marceau, RKW
Ringer, SP
Item Type: Journal Article
Abstract: Solute clusters affect the physical properties of alloys. Knowledge of the atomic structure of solute clusters is a prerequisite for material optimisation. In this study, solute clusters in a rapid-hardening Al-Cu-Mg alloy were characterised by a combination of atom probe tomography and density functional theory, making use of a hybrid data type that combines lattice rectification and data completion to directly input experimental data into atomistic simulations. The clusters input to the atomistic simulations are thus observed experimentally, reducing the number of possible configurations. Our results show that spheroidal, compact clusters are more energetically favourable and more abundant.
Issue Date: 1-Apr-2017
Date of Acceptance: 8-Jan-2017
URI: http://hdl.handle.net/10044/1/63962
DOI: https://dx.doi.org/10.1016/j.scriptamat.2017.01.011
ISSN: 1359-6462
Publisher: Elsevier
Start Page: 93
End Page: 97
Journal / Book Title: Scripta Materialia
Volume: 131
Copyright Statement: © 2017 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: Science & Technology
Technology
Nanoscience & Nanotechnology
Materials Science, Multidisciplinary
Metallurgy & Metallurgical Engineering
Science & Technology - Other Topics
Materials Science
Atom probe tomography
Density-functional theory
Solute clusters
Al-Cu-Mg
CU-MG ALLOYS
ROOM-TEMPERATURE PRECIPITATION
YIELD-STRENGTH DEVELOPMENT
KINETIC MONTE-CARLO
1ST-PRINCIPLES CALCULATIONS
VARIATION FORMALISM
TOMOGRAPHY
SIMULATIONS
MODEL
CR
cond-mat.mtrl-sci
0912 Materials Engineering
0913 Mechanical Engineering
Materials
Publication Status: Published
Online Publication Date: 2017-01-23
Appears in Collections:Materials
Faculty of Engineering