High-Resolution Full-Field Structural Microscopy of the Voltage-Induced Filament Formation in VO<sub>2</sub>-Based Neuromorphic Devices

In order to make neuromorphic functions in memristive devices more efficient, information about the structural properties of filament formation at the micro- and mesoscopic scales is necessary. Despite extensive research on VO<sub>2</sub>, a key material due to its filament formation, local operando structural measurements remain challenging and often involve destructive specimen preparation and long rastering times, greatly limiting the scope of experimental studies. Utilizing dark-field X-ray microscopy (DFXM), a full-field imaging modality, structural signatures of the filament formation process operando are revealed in VO<sub>2</sub> devices. DFXM experiments illustrate that rutile filaments contain isolated monoclinic clusters, indicating structural nonuniformity interior to the filament. The formation of the rutile phase beneath device electrodes was shown to precede filament development, followed by the formation of filament paths guided by nucleation sites within the device. Finally, a medium-term (<30 min) memory mechanism is observed in VO<sub>2</sub>, mediated by sites within the device gap that tend to switch at significantly lower voltages after electrical cycling, a tendency that persists through a brief thermal reset. High spatial resolution, large field-of-view, structure selectivity, and fast signal acquisition of DFXM provided insight into structural features of the filamentary channel and surrounding regions during voltage cycling.

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Publication Details

Journal
ACS Nano
Published
2025-04-14
DOI
https://doi.org/10.1021/acsnano.4c14696
Citations
6
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
4.38

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article

High-Resolution Full-Field Structural Microscopy of the Voltage-Induced Filament Formation in VO2-Based Neuromorphic Devices

Z. Islam, Oleg Shpyrko, Elliot Kisiel, Alex Frañó et al.
6 citations
ACS Nano
Advanced Memory and Neural Computing
4.38
article

High-Resolution Full-Field Structural Microscopy of the Voltage-Induced Filament Formation in VO2-Based Neuromorphic Devices

Z. Islam, Oleg Shpyrko, Elliot Kisiel, Alex Frañó, Erbin Qiu, M. J. Rozenberg, Iván K. Schuller, Fanny Rodolakis, Pavel Salev, Ishwor Poudyal, F. B. Carneiro, Zhan Zhang, David J. Alspaugh
article en
6 citations

Abstract

In order to make neuromorphic functions in memristive devices more efficient, information about the structural properties of filament formation at the micro- and mesoscopic scales is necessary. Despite extensive research on VO<sub>2</sub>, a key material due to its filament formation, local operando structural measurements remain challenging and often involve destructive specimen preparation and long rastering times, greatly limiting the scope of experimental studies. Utilizing dark-field X-ray microscopy (DFXM), a full-field imaging modality, structural signatures of the filament formation process operando are revealed in VO<sub>2</sub> devices. DFXM experiments illustrate that rutile filaments contain isolated monoclinic clusters, indicating structural nonuniformity interior to the filament. The formation of the rutile phase beneath device electrodes was shown to precede filament development, followed by the formation of filament paths guided by nucleation sites within the device. Finally, a medium-term (<30 min) memory mechanism is observed in VO<sub>2</sub>, mediated by sites within the device gap that tend to switch at significantly lower voltages after electrical cycling, a tendency that persists through a brief thermal reset. High spatial resolution, large field-of-view, structure selectivity, and fast signal acquisition of DFXM provided insight into structural features of the filamentary channel and surrounding regions during voltage cycling.

ACS NanoVol. 19(16)
Université Paris-Sud (FR), Argonne National Laboratory (US), University of Denver (US), Los Alamos National Laboratory (US), Laboratoire de physique des Solides (FR), University of California San Diego (US), Centro Brasileiro de Pesquisas Físicas (BR), Division of Materials Science and Engineering (AU)
Basic Energy Sciences, Energy Frontier Research Centers
Openalex Percentile: Top 6%
Advanced Memory and Neural Computing
4.38
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