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cond-mat.mtrl-sci2026
Exploring the extremes: atomic basis for multi-elemental materials science under complex thermodynamic conditions
Anton Bochkarev, Yury Lysogorskiy, Aparna Subramanyam +2
Modern materials science has historically been founded on combining restricted subsets of the periodic table, favoring high-purity, few-element systems. However, the demands of an…
cond-mat.mtrl-sci2025
Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials
Danny Perez, Aparna P. A. Subramanyam, Ivan Maliyov +1
The use of high-dimensional regression techniques from machine learning has significantly improved the quantitative accuracy of interatomic potentials. Atomic simulations can now p…
cond-mat.mtrl-sci2024
Stacking fault segregation imaging with analytical field ion microscopy
F. F. Morgado, L. T. Stephenson, S. Bhatt +8
Stacking faults (SF) are important structural defects that play an essential role in the deformation of engineering alloys. However, direct observation of stacking faults at the at…