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cond-mat.mtrl-sci2026★ 1 cited
Deciphering borophene growth pathways with data-driven simulations
Colin Bousige, Jean Furstoss, Julien Lam +1
Deterministic synthesis of borophene remains challenging because many polymorphs compete during nucleation and growth. Here we combine a reactive machine-learned interatomic potent…
cond-mat.mtrl-sci2025
Growth driven phase transitions in Zinc Oxide nanoparticles through machine-learning assisted simulations
Quentin Gromoff, Magali Benoit, Jacek Goniakowski +2
This study investigates the formation of zinc oxide (ZnO) nanoparticles, a material of significant technological interest with complex structural properties, through atom-by-atom d…