Understanding grain boundary segregation and solute drag using computational and machine learning studies

• Published in: Acta materialia Vol. 275; p. 120037
• Main Authors: Alkayyali, Malek, Taghizadeh, Milad, Abdeljawad, Fadi
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.08.2024
• Subjects: Grain boundaries; Machine learning; Nanocrystalline alloys; Solute drag; Solute segregation; Grain boundaries; Nanocrystalline alloys; Solute segregation; Solute drag; Machine learning
• ISSN: 1359-6454; 1873-2453
• DOI: 10.1016/j.actamat.2024.120037

Grain boundary (GB) solute segregation has been used as a strategy to tailor the properties and processing pathways of a wide range of metallic alloys. GB solute drag results when segregated alloying elements exert a resistive force on migrating GBs hindering their motion. While GB segregation has b...