Literature DB >> 28266834

Direct Probing of the Dielectric Scavenging-Layer Interface in Oxide Filamentary-Based Valence Change Memory.

Umberto Celano1, Jonathan Op de Beeck1,2, Sergiu Clima1, Michael Luebben3, Paul M Koenraad2, Ludovic Goux3, Ilia Valov3, Wilfried Vandervorst1,4.   

Abstract

A great improvement in valence change memory performance has been recently achieved by adding another metallic layer to the simple metal-insulator-metal (MIM) structure. This metal layer is often referred to as oxygen exchange layer (OEL) and is introduced between one of the electrodes and the oxide. The OEL is believed to induce a distributed reservoir of defects at the metal-insulator interface thus providing an unlimited availability of building blocks for the conductive filament (CF). However, its role remains elusive and controversial owing to the difficulties to probe the interface between the OEL and the CF. Here, using Scalpel SPM we probe multiple functions of the OEL which have not yet been directly measured, for two popular VCMs material systems: Hf/HfO2 and Ta/Ta2O5. We locate and characterize in three-dimensions the volume containing the oxygen exchange layer and the CF with nanometer lateral resolution. We demonstrate that the OEL induces a thermodynamic barrier for the CF and estimate the minimum thickness of the OEL/oxide interface to guarantee the proper switching operations is ca. 3 nm. Our experimental observations are combined to first-principles thermodynamics and defect kinetics to elucidate the role of the OEL for device optimization.

Entities:  

Keywords:  RRAM; filament; oxygen-exchange-layer; scalpel SPM; scavenging layer

Year:  2017        PMID: 28266834     DOI: 10.1021/acsami.6b16268

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  2 in total

1.  Improved resistive switching characteristics of a multi-stacked HfO2/Al2O3/HfO2 RRAM structure for neuromorphic and synaptic applications: experimental and computational study.

Authors:  Ejaz Ahmad Khera; Chandreswar Mahata; Muhammad Imran; Niaz Ahmad Niaz; Fayyaz Hussain; R M Arif Khalil; Umbreen Rasheed
Journal:  RSC Adv       Date:  2022-04-14       Impact factor: 3.361

2.  Understanding memristive switching via in situ characterization and device modeling.

Authors:  Wen Sun; Bin Gao; Miaofang Chi; Qiangfei Xia; J Joshua Yang; He Qian; Huaqiang Wu
Journal:  Nat Commun       Date:  2019-08-01       Impact factor: 14.919

  2 in total

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