Prediction of new Ti-N phases using machine learned interatomic potential

Computational Materials Science 2026

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Authors: Pradeep Kumar Rana, Atharva Vyawahare, Rohit Batra, Satyesh Kumar Yadav

DOI: 10.1016/j.commatsci.2026.114532

Cited by: 0

References: 34

Fields of Study & Subjects

Machine Learning in Materials Science Advanced Chemical Physics Studies Intermetallics and Advanced Alloy Properties

References 34