Uniform charging energy of single-electron transistors by using size-controlled Au nanoparticles

Okabayashi, Norio; Maeda, Kazunari; Muraki, Taro; Tanaka, Daisuke; Sakamoto, Masanori; Teranishi, Toshiharu; Majima, Yutaka

doi:10.1063/1.3676191

Cited by 55 publications

(77 citation statements)

References 24 publications

(14 reference statements)

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“…With a carefully designed pattern and the right angles, an SED is formed with AlO x tunnel barriers. Of course, devices have been fabricated from other metallic materials [37,38]. These devices can exhibit "clean" Coulomb diamonds without large jumps in the data characteristic of large charge offset drift while still exhibiting some low frequency time instability [39].…”

Section: Metal-based Devicesmentioning

confidence: 99%

Stability of Single Electron Devices: Charge Offset Drift

Stewart

Zimmerman

2016

Applied Sciences

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Single electron devices (SEDs) afford the opportunity to isolate and manipulate individual electrons. This ability imbues SEDs with potential applications in a wide array of areas from metrology (current and capacitance) to quantum information. Success in each application ultimately requires exceptional performance, uniformity, and stability from SEDs which is currently unavailable. In this review, we discuss a time instability of SEDs that occurs at low frequency ( 1 Hz) called charge offset drift. We review experimental work which shows that charge offset drift is large in metal-based SEDs and absent in Si-SiO 2 -based devices. We discuss the experimental results in the context of glassy relaxation as well as prospects of SED device applications.

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Section: Metal-based Devicesmentioning

confidence: 99%

Stability of Single Electron Devices: Charge Offset Drift

Stewart

Zimmerman

2016

Applied Sciences

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“…This system can be realized experimentally by means of ligand-stabilized metallic nanoparticles [2], [18], [19], [28], [29]. The nanoparticle (NP) is functionalized with an organic ligand acting as a tunneling junction and the single electron transfers between the NP and the external electrode are determined by the Coulomb blockade and tunneling effects [2], [18], [19], [28], [29]. These electron transfers lead to measurable electric potential changes of the order of 100 mV for effective NP capacitances of the order of 1 aF [2], [19], [22], [28], [29].…”

Section: Methodsmentioning

confidence: 99%

“…This hardware variability may be undesirable for most applications. In particular, the threshold voltage mismatching of individual electronic transistors constitutes a serious problem in voltage-driven applications [1] and nanoscale threshold potential transistors are bound to show a significant heterogeneity in their individual characteristics because of the inherent fabrication uncertainties [2]. The inability to produce significant amounts of identical nanostructures is a major concern for recent developments of silicon-based CMOS circuits [3].…”

Section: Introductionmentioning

confidence: 99%

Biologically Inspired Information Processing and Synchronization in Ensembles of Non-Identical Threshold-Potential Nanostructures

2013

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Nanotechnology produces basic structures that show a significant variability in their individual physical properties. This experimental fact may constitute a serious limitation for most applications requiring nominally identical building blocks. On the other hand, biological diversity is found in most natural systems. We show that reliable information processing can be achieved with heterogeneous groups of non-identical nanostructures by using some conceptual schemes characteristic of biological networks (diversity, frequency-based signal processing, rate and rank order coding, and synchronization). To this end, we simulate the integrated response of an ensemble of single-electron transistors (SET) whose individual threshold potentials show a high variability. A particular experimental realization of a SET is a metal nanoparticle-based transistor that mimics biological spiking synapses and can be modeled as an integrate-and-fire oscillator. The different shape and size distributions of nanoparticles inherent to the nanoscale fabrication procedures result in a significant variability in the threshold potentials of the SET. The statistical distributions of the nanoparticle physical parameters are characterized by experimental average and distribution width values. We consider simple but general information processing schemes to draw conclusions that should be of relevance for other threshold-based nanostructures. Monte Carlo simulations show that ensembles of non-identical SET may show some advantages over ensembles of identical nanostructures concerning the processing of weak signals. The results obtained are also relevant for understanding the role of diversity in biophysical networks.

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“…Particle size and shape have played crucial roles in optimizing the performance of commercial applications, such as air purification systems, new generations of automobile exhaust catalysts, nanoelectronics, photothermal cancer therapy, and various sensors [279][280][281][282][283][284][285]. The surface plasmon resonance phenomenon plays a crucial role in many sensors reported in the literature, as it allows tuning of the sensor properties via both particle size and shape [240,279,286,287].…”

Section: Nanoplatesmentioning

confidence: 99%

Tailored Nanoparticles for Clean Technology–Achieving Size and Shape Control

Golovko

2013

Heterogeneous Catalysts for Clean Technology

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Uniform charging energy of single-electron transistors by using size-controlled Au nanoparticles

Cited by 55 publications

References 24 publications

Stability of Single Electron Devices: Charge Offset Drift

Stability of Single Electron Devices: Charge Offset Drift

Biologically Inspired Information Processing and Synchronization in Ensembles of Non-Identical Threshold-Potential Nanostructures

Tailored Nanoparticles for Clean Technology–Achieving Size and Shape Control

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