2 papers
cond-mat.mtrl-sci2024
Describe, Transform, Machine Learning: Feature Engineering for Grain Boundaries and Other Variable-Sized Atom Clusters
C. Braxton Owens, Nithin Mathew, Tyce W. Olaveson +5
Obtaining microscopic structure-property relationships for grain boundaries are challenging because of the complex atomic structures that underlie their behavior. This has led to r…
cond-mat.mtrl-sci2024
Learning from metastable grain boundaries
Avanish Mishra, Sumit A. Suresh, Saryu J. Fensin +2
Grain boundaries (GBs) govern critical properties of polycrystals. Although significant advancements have been made in characterizing minimum energy GBs, real GBs are seldom found…