Noise-Enhanced Sensing of Light and Magnetic Force Based on a Nonlinear Silicon Microresonator

Ono, Takahito; Yoshida, Yusuke; Jiang, Yong; Esashi, Masayoshi

doi:10.1143/apex.1.123001

Cited by 9 publications

(12 citation statements)

References 18 publications

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“…Previously studied systems include a parametrically driven electron in a Penning trap 2 , a superconducting loop with a Josephson junction 3 and an atomic cloud in an magneto-optical trap 4 . Micromechanical doubly clamped beams and torsional resonators driven into bistability can also exhibit noise-induced switching, leading to an enhancement of the Signal-to-Noise Ratio (SNR) [5][6][7][8] . In torsional oscillators, the nonlinearity arises from the externally applied electrostatic driving force 6,7 .…”

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confidence: 99%

Stochastic switching of cantilever motion

2013

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The cantilever is a prototype of a highly compliant mechanical system and has an instrumental role in nanotechnology, enabling surface microscopy, and ultrasensitive force and mass measurements. Here we report fluctuation-induced transitions between two stable states of a strongly driven microcantilever. Geometric nonlinearity gives rise to an amplitudedependent resonance frequency and bifurcation occurs beyond a critical point. The cantilever response to a weak parametric modulation is amplified by white noise, resulting in an optimum signal-to-noise ratio at finite noise intensity. This stochastic switching suggests new detection schemes for cantilever-based instrumentation, where the detection of weak signals is mediated by the fluctuating environment. For ultrafloppy, cantilevers with nanometer-scale dimensions operating at room temperature-a new transduction paradigm emerges that is based on probability distributions and mimics nature.

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confidence: 99%

Stochastic switching of cantilever motion

2013

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“…In case of a relative weak (sub-threshold) force additional noise is required to move the system from state '+c' (right) to '−c' (left). A strong force will not require the presence of added noise, as the corresponding co-energy function contains only one global The total electromechanical behaviour of the slider is described by the co-energy function given in (10). To evaluate this expression, several parameters, like the spring constant k and capacitive parameter C 0 , need to be determined experimentally.…”

Section: B Energy Functionmentioning

confidence: 99%

“…In the optical domain, SR was implemented by Palonpon et al [9] to measure weak transmittances. Ono et al [10] showed that SR can be used for sensing light and magnetic forces using a nonlinear silicon microresonator. To enhance energy harvesting, SR was applied by McInnes et al [11], by adding periodic forcing to a vibrationally excited energy harvesting mechanism enhancing the available power from their device over a mechanism without periodic forcing and only exploiting environmental noise.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Resonance in a Voltage-Controlled Micromechanical Slider

Droogendijk

Boer

Sanders

et al. 2015

J. Microelectromech. Syst.

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Stochastic resonance (SR) is a phenomenon that has been extensively investigated theoretically, but which is much harder to study experimentally. In this paper, we report on an experimental micromechanical slider structure that allows for full control of most of the parameters that are of importance for the occurrence of SR. Using a silicon-on-insulator-based process, we realized a slider structure with periodic capacitive structures to obtain tunable unstable regions. We implemented stochastic resonance by controlling the strength of these capacitive wells by a dc-bias voltage, operating the device in push-pull mode by electrostatic actuation, and adding a judiciously amount of white noise to the actuation comb drives. It is shown that this SR scheme allows for detection of subthreshold forces. We find that the amount of noise needed for optimal SR depends strongly on the noise bandwidth. Further, we demonstrate that the implementation of SR in a slider allows for improved detection of both sinusoidal and triangular waveforms, but that the performance of SR deteriorates for square waveforms.[2014-0083] where he is currently a Senior Technologist. His current research interests include silicon micromachining and related fabrication techniques, with a focus on deep reactive ion etching techniques. He has published over 112 reviewed journal papers on micro (nano) technology and related topics, and holds 10 patent applications. . His research interests include design and fabrication of measurement techniques and setups for a wide range of MEMS structures and microscale chemical reactors. Gijs J. M. Krijnen received the M.Sc. degree in electrical engineering and the Ph.D. degree from the

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“…Similarly, mechanical resonators that are strongly driven can show stochastic switching between two stable attractors [17][18][19] . This can potentially improve the transduction of small signals in a manner that mimics nature, by the stochastic resonance phenomenon [20][21][22][23][24] . However, high fluctuation power, far above the fluctuations present at room temperature needs to be applied to achieve stochastic switching.…”

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confidence: 99%

High-Frequency Stochastic Switching of Graphene Resonators Near Room Temperature

et al. 2019

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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 current state-of-the-art. The (effective) temperature of the fluctuations is approximately 400 K, which is 3000 times lower than the state-of-the-art. This shows that these membranes are potentially useful to transduce weak signals in the audible frequency domain. Furthermore, we perform numerical simulations to understand the transition dynamics of the resonator and use analytical expressions to investigate the relevant scaling parameters that allow high-frequency, low-temperature stochastic switching to be achieved in mechanical resonators.

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Noise-Enhanced Sensing of Light and Magnetic Force Based on a Nonlinear Silicon Microresonator

Cited by 9 publications

References 18 publications

Stochastic switching of cantilever motion

Stochastic switching of cantilever motion

Stochastic Resonance in a Voltage-Controlled Micromechanical Slider

High-Frequency Stochastic Switching of Graphene Resonators Near Room Temperature

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