Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Konstantinou K 

PROVIDER: S-EPMC6624207 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Revealing the intrinsic nature of the mid-gap defects in amorphous Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub>.

Konstantinou Konstantinos K   Mocanu Felix C FC   Lee Tae-Hoon TH   Elliott Stephen R SR  

Nature communications 20190711 1


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, Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub>, to obtain reliable statistics. Hybrid density-functional theory  ...[more]

Similar Datasets

| S-EPMC9146787 | biostudies-literature
| S-EPMC8695776 | biostudies-literature
| S-EPMC7367863 | biostudies-literature
| S-EPMC5111060 | biostudies-literature
| S-EPMC8664948 | biostudies-literature
| S-EPMC6092410 | biostudies-literature
| S-EPMC10176324 | biostudies-literature
| S-EPMC10427411 | biostudies-literature
| S-EPMC4772802 | biostudies-literature
| S-EPMC6344509 | biostudies-literature