Literature DB >> 30346458

Key material parameters driving CBRAM device performances.

Ludovic Goux1, Janaki Radhakrishnan, Attilio Belmonte, Thomas Witters, Wouter Devulder, Augusto Redolfi, Shreya Kundu, Michel Houssa, Gouri Sankar Kar.   

Abstract

This study is focused on Conductive Bridging Random Access Memory (CBRAM) devices based on chalcogenide electrolyte and Cu-supply materials, and aims at identifying the key material parameters controlling memory properties. The CBRAM devices investigated are integrated on CMOS select transistors, and are constituted by either Ge-Se or Ge-Te electrolyte layers of various compositions combined with a Cu2GeTe3 active chalcogenide electrode. By means of extensive physical and electrical characterization, we show for a given electrolyte system that slower write is obtained for a denser electrolyte layer, which is directly correlated with a lower atomic percentage of the chalcogen element in the layer. We also evidence that the use of Ge-Se electrolyte results in larger write energy (voltage and time), however with improved state retention properties than for Ge-Te electrolyte materials. We associate these results with the stronger chemical bonding of Cu with Se, resulting both in a stabilized Cu filament and a slower Cu cation motion. More robust processing thermal stability is also observed for Ge-Se compared to Ge-Te compounds, allowing more flexibility in the integration flow design.

Entities:  

Year:  2019        PMID: 30346458     DOI: 10.1039/c8fd00115d

Source DB:  PubMed          Journal:  Faraday Discuss        ISSN: 1359-6640            Impact factor:   4.008


  2 in total

1.  Dynamic-quenching of a single-photon avalanche photodetector using an adaptive resistive switch.

Authors:  Jiyuan Zheng; Xingjun Xue; Cheng Ji; Yuan Yuan; Keye Sun; Daniel Rosenmann; Lai Wang; Jiamin Wu; Joe C Campbell; Supratik Guha
Journal:  Nat Commun       Date:  2022-03-21       Impact factor: 14.919

2.  Multiscale Modeling for Application-Oriented Optimization of Resistive Random-Access Memory.

Authors:  Paolo La Torraca; Francesco Maria Puglisi; Andrea Padovani; Luca Larcher
Journal:  Materials (Basel)       Date:  2019-10-23       Impact factor: 3.623

  2 in total

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