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Effects of heterogeneities on the voltage-induced filament formation in VO<sub>2</sub>-based neuromorphic devices

ORAL

Abstract

VO2 is a key material for the construction of memresitive devices with neuromorphic function due to its electrically induced resistive switching and conductive filament formation. In this work we provide numerical simulations and structural analysis of the filament formation in VO2 devices in support of recent dark-field X-ray microscopy (DFXM) measurements, which is a novel full-field X-ray imaging technique that captures the filament formation process operando. We use the Mott resistor network (MRN) model to mesoscopically describe the VO2 sample as a two-dimensional grid of resistors such that each one’s resistance depends on the local temperature via a Landau free energy functional. Our simulations demonstrate that the rutile metallic filaments of the VO2 sample can contain isolated monoclinic clusters, in agreement with the experimental DFXM data and indicating structural non-uniformity within the conducting filament. Additionally, we reproduce recent experimental findings that indicate a new medium-term memory mechanism in VO2 mediated by sites that tend to switch at significantly lower voltages after electrical cycling, a tendency that persists through brief cooling. These numerical simulations and experimental observations provide insight into the subtle structural features of the filamentary channel and surrounding regions during voltage cycling in VO2-based devices.

Publication: Elliot Kisiel, Pavel Salev, Ishwor Poudyal, David J. Alspaugh, Fellipe Carneiro, Fanny Rodolakis, Zhan Zhang, Oleg Shpyrko, Marcelo J. Rozenberg, Ivan K. Schuller, Zahir Islam, and Alex Frano, High-resolution full-field structural microscopy of the voltage-induced filament formation in VO2-based neuromorphic devices.

Presenters

  • David J Alspaugh

    University of California, San Diego

Authors

  • David J Alspaugh

    University of California, San Diego

  • Elliot S Kisiel

    University of California, San Diego, Argonne National Laboratory

  • Pavel Salev

    University of Denver

  • Ishwor Poudyal

    Argonne National Laboratory

  • Fellipe Baptista Carneiro

    Los Alamos National Laboratory

  • Fanny M Rodolakis

    Argonne National Laboratory

  • Zhan Zhang

    Argonne National Laboratory, Advanced Photon Source, Argonne National Laboratory, Lemont, Illinois 60439, USA

  • Oleg Shpyrko

    University of California, San Diego

  • Marcelo Rozenberg

    Université Paris-Saclay

  • Ivan K Schuller

    University of California, San Diego

  • Zahir Islam

    Argonne National Laboratory

  • Alex Frano

    University of California, San Diego