most citedUnsupervised Machine-Learning Pipeline for Data-Driven Defect Detection and Characterisation: Application to Displacement Cascades

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

physics.chem-ph2026

Data-driven construction of machine-learning-based interatomic potentials for gas-surface scattering dynamics: the case of NO on graphite

Samuel Del Fré, Gilberto A. Alou Angulo, Maurice Monnerville +1

Accurate atomistic simulations of gas-surface scattering require potential energy surfaces that remain reliable over broad configurational and energetic ranges while retaining the…

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…