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cond-mat.mtrl-sci2025★ 1 cited
Unsupervised Machine-Learning Pipeline for Data-Driven Defect Detection and Characterisation: Application to Displacement Cascades
Samuel Del Fré, Andrée de Backer, Christophe Domain +2
Neutron irradiation produces, within a few picoseconds, displacement cascades that are sequences of atomic collisions generating point and extended defects which subsequently affec…
cond-mat.mtrl-sci2024
A collinear-spin machine learned interatomic potential for FeCrNi alloy
Lakshmi Shenoy, Christopher D. Woodgate, Julie B. Staunton +4
We have developed a new machine learned interatomic potential for the prototypical austenitic steel FeCrNi, using the Gaussian approximation potential (GAP) framework.…