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research article

Graphene-enhanced ferroelectric domain wall high-output memristor

Risch, Felix  
•
Gilani, Ali  
•
Kamaei, Sadegh  
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October 7, 2024
Applied Physics Letters

Recent studies on memristive materials and technologies have expanded beyond conventional memory elements, driven by their potential application in novel information processing concepts. Among these materials, conductive domain walls in ferroics are especially promising, offering conductive tunability suitable for reconfigurable multi-state devices. However, challenges such as domain stability, time-dependent conductivity, and low current output have impeded progress in the field. Here, we study the graphene/Pb(Zr,Ti)O3/SrRuO3 system, which demonstrates robust domain wall conduction up to 100 nA/μm2 for 2 V bias, while addressing the critical issue of stability of switched domains. The introduction of graphene electrodes enhances low-voltage stochastic domain formation with limited domain expansion that promotes the emergence of multi-domain states. The developed micrometer sized capacitor devices enable electrically programmable multiple distinct conduction states with robust retention combined with high current output and low operation voltage. These features are highly desirable for memristors and mark the significant potential of domain wall electronics for neuromorphic computing.

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Type
research article
DOI
10.1063/5.0232620
Scopus ID

2-s2.0-85206485365

Author(s)
Risch, Felix  

École Polytechnique Fédérale de Lausanne

Gilani, Ali  

École Polytechnique Fédérale de Lausanne

Kamaei, Sadegh  

École Polytechnique Fédérale de Lausanne

Ionescu, Adrian M.  

École Polytechnique Fédérale de Lausanne

Stolichnov, Igor  

École Polytechnique Fédérale de Lausanne

Date Issued

2024-10-07

Publisher

AIP American Institute of Physics

Published in
Applied Physics Letters
Volume

125

Issue

15

Article Number

152902

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
NANOLAB  
FunderFunding(s)Grant NumberGrant URL

EU Horizon 2020 program

861153

Available on Infoscience
January 25, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/244006
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