Nickel atoms prefer to segregate into interstitial cavities within kite-like grain boundary structures in aluminum, and a new Voronoi-based method with machine learning can identify and predict these sites.
Lu, Stabilizing nanostructures in metals using grain and twin boundary architectures, Nat Rev Mater 1 (2016) 16019
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Grain boundary interstitial segregation in substitutional binary alloys
Nickel atoms prefer to segregate into interstitial cavities within kite-like grain boundary structures in aluminum, and a new Voronoi-based method with machine learning can identify and predict these sites.