2020
DOI: 10.1016/j.commatsci.2020.109812
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Grain boundary structure search by using an evolutionary algorithm with effective mutation methods

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Cited by 17 publications
(5 citation statements)
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“…The lowest energy structure was used as input for the subsequent diffusion simulations. This optimization procedure recovered the well-known structures of the Σ3 and Σ17 GBs, but it did not sample different GB densities as in more sophisticated optimization routines [48][49][50] .…”
Section: Methodsmentioning
confidence: 99%
“…The lowest energy structure was used as input for the subsequent diffusion simulations. This optimization procedure recovered the well-known structures of the Σ3 and Σ17 GBs, but it did not sample different GB densities as in more sophisticated optimization routines [48][49][50] .…”
Section: Methodsmentioning
confidence: 99%
“…A congruent GB phase transition is characterized by transformations limited to the GB core without a change in grain misorientation and GB plane 12 . These transitions have mostly been studied using atomistic modeling of [001] tilt GBs in fcc copper 15,24,25 , in various tungsten GBs 26 , and magnesium 27 . Recently, two different GB phases were observed experimentally in Σ19b h1 1 1i f1 7 8g GBs in copper by atomic resolution scanning transmission electron microscopy (STEM) 28 .…”
mentioning
confidence: 99%
“…(Replotted after Hu et al, Mater Today, [114] Copyright 2020, Elsevier.) such as evolutionary algorithms, [150][151][152] convolutional neural networks, [153] other machine learning algorithms, [154][155][156][157][158][159] have been used to predict GB structures and other properties. These methods have not yet been used to compute GB diagrams, but they certainly have great potential for future applications in this field.…”
Section: Predicting Gb Properties In 7-d For a Binary Alloy Consideri...mentioning
confidence: 99%