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Exploiting memristive BiFeO3 bilayer structures for compact sequential logics


You, Tiangui; Shuai, Yao; Luo, Wenbo; Du, Nan; Bürger, Danilo; Skorupa, Ilona; Hübner, René; Henker, Stephan; Mayr, Christian; Schüffny, René; Mikolajick, Thomas; Schmidt, Heidemarie (2014). Exploiting memristive BiFeO3 bilayer structures for compact sequential logics. Advanced Functional Materials, 24(22):3357-3365.

Abstract

Resistive switching devices are considered as one of the most promising candidates for the next generation memories and nonvolatile logic applications. In this paper, BiFeO3:Ti/BiFeO3 (BFTO/BFO) bilayer structures with optimized BFTO/BFO thickness ratio which show symmetric, bipolar, and nonvolatile resistive switching with good retention and endurance performance, are presented. The resistive switching mechanism is understood by a model of flexible top and bottom Schottky-like barrier heights in the BFTO/BFO bilayer structures. The resistive switching at both positive and negative bias make it possible to use both polarities of reading bias to simultaneously program and store all 16 Boolean logic functions into a single cell of a BFTO/BFO bilayer structure in three logic cycles.

Abstract

Resistive switching devices are considered as one of the most promising candidates for the next generation memories and nonvolatile logic applications. In this paper, BiFeO3:Ti/BiFeO3 (BFTO/BFO) bilayer structures with optimized BFTO/BFO thickness ratio which show symmetric, bipolar, and nonvolatile resistive switching with good retention and endurance performance, are presented. The resistive switching mechanism is understood by a model of flexible top and bottom Schottky-like barrier heights in the BFTO/BFO bilayer structures. The resistive switching at both positive and negative bias make it possible to use both polarities of reading bias to simultaneously program and store all 16 Boolean logic functions into a single cell of a BFTO/BFO bilayer structure in three logic cycles.

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31 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:2014
Deposited On:25 Feb 2015 07:40
Last Modified:05 Apr 2016 19:01
Publisher:Wiley-Blackwell Publishing, Inc.
Series Name:Advanced Functional Materials
ISSN:1616-301X
Publisher DOI:https://doi.org/10.1002/adfm.201303365

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