Simulation of the crystallization kinetics of Ge$_2$Sb$_2$Te$_5$ nanoconfined in superlattice geometries for phase change memories
Debdipto Acharya, Omar Abou El Kheir, Simone Marcorini, Marco, Bernasconi

TL;DR
This study uses molecular dynamics simulations to analyze how nanoconfinement in superlattice structures affects the crystallization kinetics of Ge$_2$Sb$_2$Te$_5$, with implications for phase change memory devices.
Contribution
It introduces a simulation approach to study Ge$_2$Sb$_2$Te$_5$ nanoconfined in superlattice geometries, highlighting effects on nucleation and growth relevant for memory applications.
Findings
Nanoconfinement slightly reduces crystal growth velocities.
Heterogeneous nucleation rate is enhanced by nanoconfinement.
Results support superlattice structures for improved data retention.
Abstract
Phase change materials are the most promising candidates for the realization of artificial synapsis for neuromorphic computing. Different resistance levels corresponding to analogic values of the synapsis conductance can be achieved by modulating the size of an amorphous region embedded in its crystalline matrix. Recently, it has been proposed that a superlattice made of alternating layers of the phase change compound SbTe and of the TiTe confining material allows for a better control of multiple intermediate resistance states and for a lower drift with time of the electrical resistance of the amorphous phase. In this work, we consider to substitute SbTe with the GeSbTe prototypical phase change compound that should feature better data retention. By exploiting molecular dynamics simulations with a machine learning interatomic potential, we have…
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Taxonomy
TopicsPhase-change materials and chalcogenides
