Frequency (Stochastic) Resonance and Stochastic Resonance for a Superconducting Junctions' Device

Li, Jinghui

doi:10.1088/0253-6102/61/6/09

Commun. Theor. Phys.

2014

DOI: 10.1088/0253-6102/61/6/09

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Frequency (Stochastic) Resonance and Stochastic Resonance for a Superconducting Junctions' Device

Jinghui Li¹

Abstract: In this paper, we investigate a Josephson-junction device with dichotomous resistance or a special SQUID (superconducting quantum interference device). It is shown that frequency (stochastic) resonance and stochastic resonance can appear for some suitably selected parameters' values of the device respectively. Our results can provide some insights for the investigation of the SQUID response to the signal (including the input alternating current, the added alternating voltage, the vertically added alternating m… Show more

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Cited by 3 publications

(1 citation statement)

References 34 publications

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“…[16] For the case of non-thermal noise of the Josephson junction, in Ref. [17], we investigated a Josephsonjunction device with dichotomous resistance (a special SQUID) and found that frequency (stochastic) resonance and stochastic resonance can appear for some suitably selected parameters' values of the device. In Ref.…”

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confidence: 99%

Enhancement of Resonant Activation by Constant Bias Current for Superconducting Junction

2016

Chinese Phys. Lett.

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mentioning

confidence: 99%

Enhancement of Resonant Activation by Constant Bias Current for Superconducting Junction

2016

Chinese Phys. Lett.

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Flux of a Ratchet Model and Applications to Processive Motor Proteins

Li¹

2015

Commun. Theor. Phys.

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In this paper, we investigate the stationary probability current (or flux) of a Brownian ratchet model as a function of the flipping rate of the fluctuating potential barrier. It is shown that, with suitably selecting the parameters' values of the ratchet system, we can get the negative resonant activation, the positive resonant activation, the double resonant activation, and the current reversal, for the stationary probability current versus the flipping rate. The appearance of these phenomena is the result of the cooperative effects of the potential's dichotomous fluctuations and the internal thermal fluctuations on the evolution of the flux versus the flipping rate of the fluctuating potential barrier. In addition, some applications of our results to the motor proteins are discussed.

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A New Quantity to Characterize Stochastic Resonance

Wang

Zhai

et al. 2015

Chinese Phys. Lett.

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In a double-well system, we investigate theoretically the population distribution of a particle perturbed by a weak sinusoidal signal with a Gaussian white noise accompanied. Our numerical simulation shows that the probability of the particle staying in the right potential well, 𝑃R, exhibits an extreme value at specific noise intensity 𝐷 depending on the frequency of the sinusoidal signal, which is a key feature of stochastic resonance. This is confirmed by calculating the power spectrum of the output signal, in which the extreme value of the amplitude locates at the same noise intensity. These results provide us with a new way to quantify the stochastic resonance by measuring the population distribution of the particle.

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Frequency (Stochastic) Resonance and Stochastic Resonance for a Superconducting Junctions' Device

Cited by 3 publications

References 34 publications

Enhancement of Resonant Activation by Constant Bias Current for Superconducting Junction

Enhancement of Resonant Activation by Constant Bias Current for Superconducting Junction

Flux of a Ratchet Model and Applications to Processive Motor Proteins

A New Quantity to Characterize Stochastic Resonance

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