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20242026
most citedUnveiling the crystallization kinetics in Ge-rich GeTe alloys by large scale simulations with a machine-learned interatomic potential

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cond-mat.mtrl-sci2026

On phase separation and crystallization of Ge-rich GeSbTe alloys from atomistic simulations with a machine learning interatomic potential

Omar Abou El Kheir, Dario Baratella, Marco Bernasconi

We developed a machine learning interatomic potential (MLIP) for Ge-rich GeSbTe alloys of interest for applications in phase change memories embedded in microcontrollers. The MLIP…