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.
Weertman, Hall -Petch strengthening in nanocrystalline metals, Materials Science and Engineering: A 166 (1993) 161–167
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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.