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Revealing the intrinsic nature of the mid-gap defects in amorphous Ge2Sb2Te5.

Konstantinos KonstantinouFelix Cosmin MocanuTae-Hoon LeeStephen R Elliott
Published in: Nature communications (2019)
Understanding the relation between the time-dependent resistance drift in the amorphous state of phase-change materials and the localised states in the band gap of the glass is crucial for the development of memory devices with increased storage density. Here a machine-learned interatomic potential is utilised to generate an ensemble of glass models of the prototypical phase-change alloy, Ge2Sb2Te5, to obtain reliable statistics. Hybrid density-functional theory is used to identify and characterise the geometric and electronic structures of the mid-gap states. 5-coordinated Ge atoms are the local defective bonding environments mainly responsible for these electronic states. The structural motif for the localisation of the mid-gap states is a crystalline-like atomic environment within the amorphous network. An extra electron is trapped spontaneously by these mid-gap states, creating deep traps in the band gap. The results provide significant insights that can help to rationalise the design of multi-level-storage memory devices.
Keyphrases
  • density functional theory
  • room temperature
  • working memory
  • deep learning
  • risk assessment
  • human health
  • ionic liquid
  • neural network