The development of primary thermometers, using disordered tunneling junction arrays

Yu, Yabin; Chow, Wan Ki

doi:10.1016/j.sna.2004.03.030

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…It has been reported that the high parameter variability influences the conductance of molecular memories, 17 the threshold potential of voltage-driven molecular switches, 18 and the tunnelling junction characteristics of disordered arrays. 19 Fault-tolerant approaches [8][9][10]20,21 are needed to perform reliable information processing from inherently unreliable nanostructures. Recently, we have explored theoretically the application of nanoscale switches to implement a signal processing scheme and a frequency-dependent associative memory, 22 paying attention to the effects of the nanostructure tolerance and the thermal fluctuations.…”

Section: Introductionmentioning

confidence: 99%

Reliable signal processing using parallel arrays of non-identical nanostructures and stochastic resonance

2010

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In the stochastic resonance (SR) phenomena, the response of a non-linear system to a weak periodic input signal is optimised by the presence of a particular level of noise which enhances signal detection. We explore, theoretically, the influence of thermal noise in arrays of metal nanoparticles functionalised with organic ligands acting as tunnelling junctions, with emphasis on the interplay between the SR phenomena and the nanostructure variability. In this system, the transference of a reduced number of electrons may suffice to implement a variety of electronic functions. However, because nanostructures are expected to show a significant variability in their physical characteristics, it is important to study the relation between the diversity-induced static noise and the dynamic noise caused by thermal fluctuations. We consider an ideal model based on the Coulomb blockade and tunnelling effects that includes the stochastic nature of electron transference due to thermal noise together with the nanostructure variability found in experimental distribution functions. The correlation between the input (potential) and the output (current) signals, as well as the absolute value of the current and its time fluctuations, are analysed as a function of the temperature and the number of nanostructures. Extensive kinetic Monte Carlo simulations suggest that the interplay between thermal noise and variability could permit reliable processing of weak signals with many non-identical nanostructures.

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Section: Introductionmentioning

confidence: 99%

Reliable signal processing using parallel arrays of non-identical nanostructures and stochastic resonance

2010

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Device variability and circuit redundancy in signal processing based on nanoswitches

2009

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Signal processing based on molecular switches whose conductance can be tuned by an external stimulus between two (on and off) states has been proposed recently (Cervera et al 2008 J. Appl. Phys. 104 084317). The basic building block is a metal nanoparticle linked to two electrodes by an organic ligand and a nanoswitch. The net charge delivered by this nanostructure exhibits a sharp resonance when the alternating potential applied between the electrodes has the same frequency as the periodic variation between the on and off conductance states induced on the nanoswitch. This resonance can be used to process an external signal by selectively extracting the weight of the different harmonics. However, because of the fabrication process at the nanoscale, the nanostructures will show a significant variability in the physical characteristics. By using a phenomenological model that includes this variability, the stochastic nature of electron transference, and the thermal noise, we demonstrate that reliable signal processing can still be achieved by adapting the number of nanoswitches per bit of information (circuit redundancy) to the nanostructure tolerance (device variability). Extensive kinetic Monte Carlo simulations show that a moderate level of redundancy can compensate for significant nanostructure variability. This result gives support to the concept of ensembles of redundant switches as reliable components for signal processing at the nanoscale.

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The development of primary thermometers, using disordered tunneling junction arrays

Cited by 2 publications

References 12 publications

Reliable signal processing using parallel arrays of non-identical nanostructures and stochastic resonance

Reliable signal processing using parallel arrays of non-identical nanostructures and stochastic resonance

Device variability and circuit redundancy in signal processing based on nanoswitches

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