Literature DB >> 24162936

In situ forming, characterization, and transduction of nanowire memristors.

Zheng Fan1, Xudong Fan, Alex Li, Lixin Dong.   

Abstract

We report the nanorobotic in situ formation and characterization of memristors based on individual copper oxide nanowires (CuO NWs) and their potential applications as nanosensors with memory function (memristic sensors or "memsensors"). A series of in situ techniques for the experimental investigations of memristors are developed including nanorobotic manipulation, electro-beam-based forming, and electron energy loss spectroscopy (EELS) enabled correlation of transport properties and dopant distribution. All experimental investigations are performed inside a transmission electron microscope (TEM). The initial CuO NW memristors are formed by localized electron-beam irradiation to generate oxygen vacancies as dopants. Current-voltage properties show distinctive hysteresis characteristics of memristors. The mechanism of such memristic behavior is explained with an oxygen vacancy migration model. The presence and migration of the oxygen vacancies is identified with EELS. Investigations also reveal that the memristic behavior can be influenced by the deformation of the nanowire, showing that the nanowire memristor can serve as a deformation/force memorable sensor. The CuO NW-based memristors will enrich the binary transition oxide family but hold a simpler and more compact design than the conventional thin-film version. With these advantages, the CuO NW-based memristors will not only facilitate their applications in nanoelectronics but play a unique role in micro-/nano-electromechanical systems (MEMS/NEMS) as well.

Entities:  

Year:  2013        PMID: 24162936     DOI: 10.1039/c3nr03383j

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


  2 in total

1.  Defect-concentration dependence of electrical transport mechanisms in CuO nanowires.

Authors:  Zufang Lin; Runze Zhan; Luying Li; Huihui Liu; Shuangfeng Jia; Huanjun Chen; Shuai Tang; Juncong She; Shaozhi Deng; Ningsheng Xu; Jun Chen
Journal:  RSC Adv       Date:  2018-01-09       Impact factor: 4.036

2.  A Novel Characterization and Performance Measurement of Memristor Devices for Synaptic Emulators in Advanced Neuro-Computing.

Authors:  AlaaDdin Al-Shidaifat; Shubhro Chakrabartty; Sandeep Kumar; Suvojit Acharjee; Hanjung Song
Journal:  Micromachines (Basel)       Date:  2020-01-13       Impact factor: 2.891

  2 in total

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