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Characterization of Nonvolatile Switches Based on 2-D Multilayered hBN Memristors for High-Frequency Applications

Authors: Jordi Verdú; Tobías Amarilla; Yaqing Shen; Sebastian Pazos; Mario Lanza; Pedro de Paco;

Characterization of Nonvolatile Switches Based on 2-D Multilayered hBN Memristors for High-Frequency Applications

Abstract

RF/microwave systems with large number of elements usually require switching elements with very small footprint, but providing very good electrical performance, low switching times, and good power-handling capabilities. In this sense, nonvolatile switches based on 2-D materials are emerging as a very suitable alternative to CMOS or MEMS-based technologies, mainly due to the capability of keeping a certain state with no energy consumption. In this article, different switches have been designed and fabricated using a multilayered structure based on 18 2-D hexagonal boron nitride (hBN) layers on three different substrates, high-resistivity silicon, quartz, and polycrystaline CVD diamond. The proposed device has been characterized in a frequency range up to 26.5GHz for these three substrates. The ON-state resistance and off-state capacitance have been extracted from experimental data using an equivalent electric model being 28~\Omega and 22 fF, leading to insertion losses (ILs) better than 2.5 dB in case of CVD diamond, and isolation better than 10 dB in case of quartz, for the on- and off-states, respectively.

Keywords

Silicon, Substrates, Nonhomogeneous media, Metals, Radio frequency, Resistance, Diamond, Switches, Electrodes, Current measurement

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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hybrid