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research article

Nanofluidic logic with mechano-ionic memristive switches

Emmerich, Theo  
•
Teng, Yunfei  
•
Ronceray, Nathan  
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March 19, 2024
Nature Electronics

Neuromorphic systems are typically based on nanoscale electronic devices, but nature relies on ions for energy-efficient information processing. Nanofluidic memristive devices could thus potentially be used to construct electrolytic computers that mimic the brain down to its basic principles of operation. Here we report a nanofluidic device that is designed for circuit-scale in-memory processing. The device, which is fabricated using a scalable process, combines single-digit nanometric confinement and large entrance asymmetry and operates on the second timescale with a conductance ratio in the range of 9 to 60. In operando optical microscopy shows that the memory capabilities are due to the reversible formation of liquid blisters that modulate the conductance of the device. We use these mechano-ionic memristive switches to assemble logic circuits composed of two interactive devices and an ohmic resistor.

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Type
research article
DOI
10.1038/s41928-024-01137-9
Web of Science ID

WOS:001187421900001

Author(s)
Emmerich, Theo  
Teng, Yunfei  
Ronceray, Nathan  
Lopriore, Edoardo  
Chiesa, Riccardo  
Chernev, Andrey  
Artemov, Vasily  
Di Ventra, Massimiliano
Kis, Andras  
Radenovic, Aleksandra  
Date Issued

2024-03-19

Publisher

Nature Portfolio

Published in
Nature Electronics
Subjects

Technology

•

Transport

•

Channels

•

Graphene

•

Memory

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LBEN  
LANES  
FunderGrant Number

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)

NCCR Bio-Inspired Materials

101020445

European Union

157739

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Available on Infoscience
April 3, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/206967
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