Literature DB >> 29995376

Analog and Digital Bipolar Resistive Switching in Solution-Combustion-Processed NiO Memristor.

Ya Li1, Jinxing Chu1, Weijie Duan1, Guangshuo Cai1, Xihua Fan1, Xinzhong Wang2, Gang Wang1,3, Yanli Pei1,2.   

Abstract

In this study, a NiO-based resistive memristor was manufactured using a solution combustion method. In this device, both analog and digital bipolar resistive switching were observed. They are dependent on the stressed bias voltage. Prior to the electroforming, the analog bipolar resistive switching was realized through the change of the Schottky barrier at p-type NiO/Ag junction by the local migration of the oxygen ion in the interface. On the basis of the analog resistive switching, several synaptic functions were demonstrated, such as nonlinear transmission characteristics, spike-rate-dependent plasticity, long-term/short-term memory, and "learning-experience" behavior. In addition, once the electroforming operation was carried out using a high applied voltage, the resistive switching was changed from analog to digital. The formation and rupture of the oxygen vacancy filaments is dominant. This novel memristor with the multifunction of analog and digital resistive switching is expected to decrease the manufacturing complexity of the electrocircuits containing analog/digital memristors.

Entities:  

Keywords:  NiO memristor; analog and digital resistive switching; solution combustion process; synaptic plasticity

Year:  2018        PMID: 29995376     DOI: 10.1021/acsami.8b05749

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  4 in total

1.  Cluster-type analogue memristor by engineering redox dynamics for high-performance neuromorphic computing.

Authors:  Jaehyun Kang; Taeyoon Kim; Suman Hu; Jaewook Kim; Joon Young Kwak; Jongkil Park; Jong Keuk Park; Inho Kim; Suyoun Lee; Sangbum Kim; YeonJoo Jeong
Journal:  Nat Commun       Date:  2022-07-12       Impact factor: 17.694

2.  Nanoscale-Resistive Switching in Forming-Free Zinc Oxide Memristive Structures.

Authors:  Roman V Tominov; Zakhar E Vakulov; Nikita V Polupanov; Aleksandr V Saenko; Vadim I Avilov; Oleg A Ageev; Vladimir A Smirnov
Journal:  Nanomaterials (Basel)       Date:  2022-01-28       Impact factor: 5.076

3.  Synthesis and Memristor Effect of a Forming-Free ZnO Nanocrystalline Films.

Authors:  Roman V Tominov; Zakhar E Vakulov; Vadim I Avilov; Daniil A Khakhulin; Aleksandr A Fedotov; Evgeny G Zamburg; Vladimir A Smirnov; Oleg A Ageev
Journal:  Nanomaterials (Basel)       Date:  2020-05-25       Impact factor: 5.076

4.  Mapping the BCPNN Learning Rule to a Memristor Model.

Authors:  Deyu Wang; Jiawei Xu; Dimitrios Stathis; Lianhao Zhang; Feng Li; Anders Lansner; Ahmed Hemani; Yu Yang; Pawel Herman; Zhuo Zou
Journal:  Front Neurosci       Date:  2021-12-09       Impact factor: 4.677

  4 in total

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