Literature DB >> 27109426

Kinetic factors determining conducting filament formation in solid polymer electrolyte based planar devices.

Karthik Krishnan1, Masakazu Aono, Tohru Tsuruoka.   

Abstract

Resistive switching characteristics and conducting filament formation dynamics in solid polymer electrolyte (SPE) based planar-type atomic switches, with opposing active Ag and inert Pt electrodes, have been investigated by optimizing the device configuration and experimental parameters such as the gap distance between the electrodes, the salt inclusion in the polymer matrix, and the compliance current applied in current-voltage measurements. The high ionic conductivities of SPE enabled us to make scanning electron microscopy observations of the filament formation processes in the sub-micrometer to micrometer ranges. It was found that switching behaviour and filament growth morphology depend strongly on several kinetic factors, such as the redox reaction rate at the electrode-polymer interfaces, ion mobility in the polymer matrix, electric field strength, and the reduction sites for precipitation. Different filament formations, resulting from unidirectional and dendritic growth behaviours, can be controlled by tuning specified parameters, which in turn improves the stability and performance of SPE-based devices.

Entities:  

Year:  2016        PMID: 27109426     DOI: 10.1039/c6nr00569a

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  3 in total

1.  Addressable Direct-Write Nanoscale Filament Formation and Dissolution by Nanoparticle-Mediated Bipolar Electrochemistry.

Authors:  Garrison M Crouch; Donghoon Han; Susan K Fullerton-Shirey; David B Go; Paul W Bohn
Journal:  ACS Nano       Date:  2017-05-04       Impact factor: 15.881

2.  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

3.  A distributed nanocluster based multi-agent evolutionary network.

Authors:  Liying Xu; Jiadi Zhu; Bing Chen; Zhen Yang; Keqin Liu; Bingjie Dang; Teng Zhang; Yuchao Yang; Ru Huang
Journal:  Nat Commun       Date:  2022-08-10       Impact factor: 17.694

  3 in total

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