N. Castin

LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

Atomistic modeling of long-term evolution of twist boundaries under vacancy supersaturation

Materials discovery and design using machine learning

Atomic-scale characterization and modeling of 60° dislocations in a high-entropy alloy

Recent advances and applications of machine learning in solid-state materials science

High-entropy alloys

Predicting vacancy migration energies in lattice-free environments using artificial neural networks

Interatomic potential for studying ageing under irradiation in stainless steels: the FeNiCr model alloy

Further development of large-scale atomistic modelling techniques for Fe–Cr alloys