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Tuning Ionic Transport in Memristive Devices by Graphene with Engineered Nanopores

Lee, Jihang, Du, Chao, Sun, Kai, Kioupakis, Emmanouil, Lu, Wei D.·2016·ACS Nano

Abstract

Memristors, based on inherent memory effects in simple two-terminal structures, have attracted tremendous interest recently for applications ranging from nonvolatile data storage to neuromorphic computing based on non-von Neumann architectures. In a memristor, the ability to modulate and retain the state of an internal variable leads to experimentally observed resistive switching (RS) effects. Such phenomena originate from internal, microscopic ionic migration and associated electrochemical processes that modify the materials' electrical and other physical properties. To optimize the device performance for practical applications with large-size arrays, controlling the internal ionic transport and redox reaction processes thus becomes a necessity, ideally at the atomic scale. Here we show that the RS characteristics in tantalum-oxide-based memristors can be systematically tuned by inserting a graphene film with engineered nanopores. Graphene, with its atomic thickness and excellent impermeability and chemical stability, can be effectively integrated into the device stack and can offer unprecedented capabilities for the control of ionic dynamics at the nanoscale. In this device structure, the graphene film effectively blocks ionic transport and redox reactions; thereby the oxygen vacancies required during the RS process are allowed to transport only through the engineered nanosized openings in the graphene layer, leading to effective modulation of the device performance by controlling the nanopore size in graphene. The roles of graphene as an ion-blocking layer in the device structure were further supported by transmission electron microscopy, energy-dispersive X-ray spectroscopy, and atomistic simulations based on first-principles calculations.

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Metadata

Authors
Lee, J., Du, C., Sun, K., Kioupakis, E., & Lu, W. D.
Venue
ACS Nano
Published
2016-03-10
Volume
10
Issue
3
Pages
3571-3579
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2296420188
Cited by
176
References
9
FWCI
8.99
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tuning Ionic Transport in Memristive Devices by Graphene with Engineered Nanopores. https://app.cochat.ai/papers/10.1021/acsnano.5b07943
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Lee, J., Du, C., Sun, K., Kioupakis, E., & Lu, W. D. (2016). Tuning Ionic Transport in Memristive Devices by Graphene with Engineered Nanopores. ACS Nano. https://doi.org/10.1021/acsnano.5b07943

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