2019
DOI: 10.1021/acs.nanolett.8b04862
|View full text |Cite
|
Sign up to set email alerts
|

High-Frequency Stochastic Switching of Graphene Resonators Near Room Temperature

Abstract: Stochastic switching between the two bistable states of a strongly driven mechanical resonator enables detection of weak signals based on probability distributions, in a manner that mimics biological systems. However, conventional silicon resonators at the microscale require a large amount of fluctuation power to achieve a switching rate in the order of a few hertz. Here, we employ graphene membrane resonators of atomic thickness to achieve a stochastic switching rate of 4.1 kHz, which is 100 times faster than… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
34
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 49 publications
(34 citation statements)
references
References 50 publications
0
34
0
Order By: Relevance
“…The noise might then help to amplify weak signals via a phenomenon called stochastic resonance [145]. An advantage of graphene nanodrums is that they can achieve stochastic switching rates as high as a few kHz near room temperature [38], hundred times faster than in conventional silicon resonators [146] at effective temperatures that are 3000 times lower, which could prove beneficial for enabling fast sensors based on stochastic resonance.…”
Section: Dynamics In the Presence Of Nonlinear Stiffness And Dampingmentioning
confidence: 99%
See 1 more Smart Citation
“…The noise might then help to amplify weak signals via a phenomenon called stochastic resonance [145]. An advantage of graphene nanodrums is that they can achieve stochastic switching rates as high as a few kHz near room temperature [38], hundred times faster than in conventional silicon resonators [146] at effective temperatures that are 3000 times lower, which could prove beneficial for enabling fast sensors based on stochastic resonance.…”
Section: Dynamics In the Presence Of Nonlinear Stiffness And Dampingmentioning
confidence: 99%
“…This makes 2D material membranes excellent probes for studying a variety of nonlinear dynamic effects, including mode-coupling [27][28][29][30], high resonancefrequency-tunability [14,31], parametric [32,33] and internal resonances [34,35]. Second, their mass is extremely small, which increases resonance frequencies yielding high sensitivity in sensing applications [10,23,[36][37][38]. Third, their high surfaceto-volume-ratio makes them very sensitive to their environment.…”
Section: Introductionmentioning
confidence: 99%
“…Graphene has low mass and low stiffness with superior mechanical properties [ 98 ]. As a membrane resonator, it is an atomic-level ultra-thin and super-strong material that can resonate at megahertz to achieve high stochastic switching rates [ 26 ]. At the same time, its high-frequency resonance can be tuned by applying voltage.…”
Section: Application Of Resonant Sensormentioning
confidence: 99%
“…Since the switching rate follows Kramer’s law and increases as the effective temperature increases, using a VNA to drive the membrane at a fixed frequency and using an arbitrary waveform generator (AWG) to add random fluctuations to the resonator artificially will increase the effective temperature, and increasing the fluctuating power will increase the switching rate. A switching rate of up to 4.1 kHz is obtained at room temperature, which is more than 100 times higher than that of existing mechanical resonators [ 26 ]. In order to detect the in-plane stress of multilayer graphene in real-time by measuring the resonant frequency of the resonator, Robinson et al fabricated a nanomechanical drum resonator with a diameter of .…”
Section: Application Of Resonant Sensormentioning
confidence: 99%
See 1 more Smart Citation