Atomistic and machine learning studies of solute segregation in metastable grain boundaries

HIGHLIGHTS

• who: Yasir Mahmood from the DepartmentClemson University have published the paper: Atomistic and machine learning studies of solute segregation in metastable grain boundaries, in the Journal: Scientific Reports Scientific Reports
• what: The aim of this study is to examine the role of GB metastable structures in boundary segregation.
• how: In this work the Al-Mg alloy is employed as a model system as Al-Mg alloys are of great interest in many structural u00adapplications3738. In this work the atomsitic data for GB segregation are used to construct a ML Gaussian Process model relating . . .
  

   

  

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