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Tetrahedral amorphous carbon resistive memories with graphene-based electrodes

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Ott, AK 
Dou, C 
Sassi, U 
Goykhman, I 
Yoon, D 

Abstract

Resistive-switching memories are alternative to Si-based ones, which face scaling and high power consumption issues. Tetrahedral amorphous carbon (ta-C) shows reversible, non-volatile resistive switching. Here we report polarity independent ta-C resistive memory devices with graphene-based electrodes. Our devices show ON/OFF resistance ratios$\sim$4x105, ten times higher than with metal electrodes, with no increase in switching power, and low power density$\sim14\muW/\mum^2$. We attribute this to a suppressed tunneling current due to the low density of states of graphene near the Dirac point, consistent with the current-voltage characteristics derived from a quantum point contact model. Our devices also have multiple resistive states. This allows storing more than one bit per cell. This can be exploited in a range of signal processing/computing-type operations, such as implementing logic, providing synaptic and neuron-like mimics, and performing analogue signal processing in non-von-Neumann architectures

Description

Keywords

graphene, resistive memories, devices

Journal Title

2D Materials

Conference Name

Journal ISSN

2053-1583
2053-1583

Volume Title

5

Publisher

IOP Publishing
Sponsorship
Engineering and Physical Sciences Research Council (EP/K01711X/1)
Engineering and Physical Sciences Research Council (EP/K017144/1)
European Commission (284558)
European Commission (309980)
European Commission (604391)
Engineering and Physical Sciences Research Council (EP/L016087/1)
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (696656)
EPSRC (via University of Manchester) (R119256)
Royal Society of Chemistry (unknown)
European Research Council (319277)
Engineering and Physical Sciences Research Council (EP/P02081X/1)
Engineering and Physical Sciences Research Council (EP/M507799/1)
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (785219)