VO <sub>2</sub> Oscillator Circuits Optimized for Ultrafast, 100 MHz‐Range Operation

Abstract Oscillating neural networks are promising candidates for a new computational paradigm, where complex optimization problems are solved by physics itself through the synchronization of coupled oscillating circuits. VO 2 Mott memristors are particularly promising building blocks for such oscillating neural networks. Until now, however, not only the maximum frequency of VO 2 oscillating neural networks, but also the maximum frequency of individual VO 2 oscillators is severely limited, which has restricted their efficient and energy‐saving use. In this study, it is showed how to increase the oscillating frequency by more than an order of magnitude into the 100 MHz range utilizing ultrasmall, ≈30 nm wide active volume VO 2 devices and optimizing the circuit layout for high frequency operation. In addition, the physical limiting factors of the oscillation frequencies are studied by investigating the complex switching dynamics of our nanoscale VO 2 devices. These dynamical studies, together with simulations, provide a clear conclusion on the maximum achievable operating frequencies and the optimal operating parameters under which these can be reached.

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Publication Details

Journal
Advanced Electronic Materials
Published
2025-10-23
DOI
https://doi.org/10.1002/aelm.202500433
Primary Topic
Transition Metal Oxide Nanomaterials
Type
article
Field-Weighted Citation Impact
0.00

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VO 2 Oscillator Circuits Optimized for Ultrafast, 100 MHz‐Range Operation

Miklós Csontos, András Halbritter, László Pósa, Heungsoo Kim et al.
Advanced Electronic Materials
Transition Metal Oxide Nanomaterials
article

VO 2 Oscillator Circuits Optimized for Ultrafast, 100 MHz‐Range Operation

Miklós Csontos, András Halbritter, László Pósa, Heungsoo Kim, Tímea Nóra Török, Alberto Piqué, János Volk, S. Schmid, Juerg Leuthold, Zsigmond Pollner, Zoltán Balogh, András Bükkfejes
article en

Abstract

Abstract Oscillating neural networks are promising candidates for a new computational paradigm, where complex optimization problems are solved by physics itself through the synchronization of coupled oscillating circuits. VO 2 Mott memristors are particularly promising building blocks for such oscillating neural networks. Until now, however, not only the maximum frequency of VO 2 oscillating neural networks, but also the maximum frequency of individual VO 2 oscillators is severely limited, which has restricted their efficient and energy‐saving use. In this study, it is showed how to increase the oscillating frequency by more than an order of magnitude into the 100 MHz range utilizing ultrasmall, ≈30 nm wide active volume VO 2 devices and optimizing the circuit layout for high frequency operation. In addition, the physical limiting factors of the oscillation frequencies are studied by investigating the complex switching dynamics of our nanoscale VO 2 devices. These dynamical studies, together with simulations, provide a clear conclusion on the maximum achievable operating frequencies and the optimal operating parameters under which these can be reached.

Advanced Electronic MaterialsVol. 12(1)
United States Naval Research Laboratory (US), Hungarian Central Statistical Office (HU), University of Augsburg (DE), Budapest University of Technology and Economics (HU), ETH Zurich (CH), HUN-REN Centre for Energy Research (HU)
Magyar Tudományos Akadémia, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, National Research, Development and Innovation Office
Openalex Percentile: Top 73%
Transition Metal Oxide Nanomaterials
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