3 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
Viscosity, breakdown of Stokes-Einstein relation and dynamical heterogeneity in supercooled liquid GeSbTe from simulations with a neural network potential
Simone Marcorini, Rocco Pomodoro, Omar Abou El Kheir +1
Phase change materials are exploited in non-volatile electronic memories and photonic devices that rely on a fast and reversible transformation between the amorphous and crystallin…
Million-atom simulation of the set process in phase change memories at the real device scale
Omar Abou El Kheir, Marco Bernasconi
Phase change materials are exploited in several enabling technologies such as storage class memories, neuromorphic devices and memories embedded in microcontrollers. A key function…