journal article·2018Open access

In situ impedance matching in Nb/Nb 2 O 5 /PtIr memristive nanojunctions for ultra-fast neuromorphic operation

Dániel Molnár, Tímea Nóra Török, Botond Sánta, Agnes Gubicza, András Magyarkuti, Roland Hauert, Gábor Kiss, András Halbritter, Miklós Csontos

Nanoscale· Volume 10· Issue 41

Abstract

The dynamical aspects of bipolar resistive switchings have been investigated in Nb/Nb2O5/PtIr nanojunctions. We found that the widely tuneable ON and OFF state resistances are well separated at low bias. On the other hand, the high-bias regime of the resistive switchings coincides with the onset of a high nonlinearity in the current-voltage characteristics, where the impedance of both states rapidly decreases and becomes equivalent around 50 Ω. This phenomenon enables the overriding of the RC limitations of fast switchings between higher resistance ON and OFF states. Consequently, nanosecond switching times between multiple resistance states due to subnanosecond voltage pulses are demonstrated. Moreover, this finding provides the possibility of impedance engineering by the appropriate choice of voltage signals, which facilitates that both the set and reset transitions take place in an impedance matched manner to the surrounding circuit, demonstrating the merits of ultra-fast operation of Nb2O5 based neuromorphic networks.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Transition Metal Oxide Nanomaterials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physics

Budapest University of Technology and Economics

1111 Budapest

Hungary

MTA-BME Condensed Matter Research Group

Empa

Swiss Federal Laboratories for Materials Science and Technology

Laboratory for Joining Technologies & Corrosion

CH-8600 Dübendorf

Switzerland

Department of Atomic Physics

Funding

Budapesti Műszaki és Gazdaságtudományi Egyetem

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