Literature DB >> 29629710

Enhancement of resistive switching properties in Al2O3 bilayer-based atomic switches: multilevel resistive switching.

Sujaya Kumar Vishwanath1, Hyunsuk Woo, Sanghun Jeon.   

Abstract

Atomic switches are considered to be building blocks for future non-volatile data storage and internet of things. However, obtaining device structures capable of ultrahigh density data storage, high endurance, and long data retention, and more importantly, understanding the switching mechanisms are still a challenge for atomic switches. Here, we achieved improved resistive switching performance in a bilayer structure containing aluminum oxide, with an oxygen-deficient oxide as the top switching layer and stoichiometric oxide as the bottom switching layer, using atomic layer deposition. This bilayer device showed a high on/off ratio (105) with better endurance (∼2000 cycles) and longer data retention (104 s) than single-oxide layers. In addition, depending on the compliance current, the bilayer device could be operated in four different resistance states. Furthermore, the depth profiles of the hourglass-shaped conductive filament of the bilayer device was observed by conductive atomic force microscopy.

Entities:  

Year:  2018        PMID: 29629710     DOI: 10.1088/1361-6528/aab6a3

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  3 in total

1.  Configurable switching behavior in polymer-based resistive memories by adopting unique electrode/electrolyte arrangement.

Authors:  Karthik Krishnan; Shaikh Mohammad Tauquir; Saranyan Vijayaraghavan; Ramesh Mohan
Journal:  RSC Adv       Date:  2021-07-02       Impact factor: 4.036

2.  Controlled inter-state switching between quantized conductance states in resistive devices for multilevel memory.

Authors:  Sweety Deswal; Rupali R Malode; Ashok Kumar; Ajeet Kumar
Journal:  RSC Adv       Date:  2019-03-25       Impact factor: 4.036

3.  Multi-level Cells and Quantized Conductance Characteristics of Al2O3-Based RRAM Device for Neuromorphic System.

Authors:  Yunseok Lee; Jongmin Park; Daewon Chung; Kisong Lee; Sungjun Kim
Journal:  Nanoscale Res Lett       Date:  2022-09-03       Impact factor: 5.418

  3 in total

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