Literature DB >> 28319363

Real-Time Observation of the Electrode-Size-Dependent Evolution Dynamics of the Conducting Filaments in a SiO2 Layer.

Fang Yuan1,2, Zhi Zhang1, Chunru Liu1, Feichi Zhou1, Hei Man Yau1, Wei Lu1, Xiaoyan Qiu1, H-S Philip Wong1,2, Jiyan Dai1, Yang Chai1.   

Abstract

Conducting bridge random access memory (CBRAM) is one of the most promising candidates for future nonvolatile memories. It is important to understand the scalability and retention of CBRAM cells to realize better memory performance. Here, we directly observe the switching dynamics of Cu tip/SiO2/W cells with various active electrode sizes using in situ transmission electron microscopy. Conducting filaments (CFs) grow from the active electrode (Cu tip) to inert electrode (W) during the SET operations. The size of the Cu tip affects the electric-field distribution, the amount of the cation injection into electrolyte, and the dimension of the CF. This study provides helpful understanding on the relationship between power consumption and retention of CBRAM cells. We also construct a theoretical model to explain the electrode-size-dependent CF growth in SET operations, showing good agreement with our experimental results.

Entities:  

Keywords:  conducting bridge random access memory; conducting filament; in situ transmission electron microscopy; nonvolatile memory; resistive switching memory

Year:  2017        PMID: 28319363     DOI: 10.1021/acsnano.7b00783

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  4 in total

Review 1.  Ion-Movement-Based Synaptic Device for Brain-Inspired Computing.

Authors:  Chansoo Yoon; Gwangtaek Oh; Bae Ho Park
Journal:  Nanomaterials (Basel)       Date:  2022-05-18       Impact factor: 5.719

2.  Surface diffusion-limited lifetime of silver and copper nanofilaments in resistive switching devices.

Authors:  Wei Wang; Ming Wang; Elia Ambrosi; Alessandro Bricalli; Mario Laudato; Zhong Sun; Xiaodong Chen; Daniele Ielmini
Journal:  Nat Commun       Date:  2019-01-08       Impact factor: 14.919

3.  TEM Nanostructural Investigation of Ag-Conductive Filaments in Polycrystalline ZnO-Based Resistive Switching Devices.

Authors:  Katarzyna Bejtka; Gianluca Milano; Carlo Ricciardi; Candido F Pirri; Samuele Porro
Journal:  ACS Appl Mater Interfaces       Date:  2020-06-22       Impact factor: 9.229

4.  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

  4 in total

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