Molecular clusters as building blocks for nanoelectronics: the first demonstration of a cluster single-electron tunnelling transistor at room temperature

Губин, С. П.; Gulayev, Yu. V.; Хомутов, Г.Б.; Kislov, V. V.; Kolesov, Vladimir; Soldatov, E. S.; Sulaimankulov, K. S.; Trifonov, A. S.

doi:10.1088/0957-4484/13/2/311

Cited by 57 publications

(39 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The placement of two-terminal devices is much easier, and for single devices it has already been demonstrated by several groups-see, e.g. References [12,[23][24][25][26][27]. Recently, we have shown [17] that CrossNets with two-terminal switches may have at least similar functionality, so that in this review we will discuss only this case.…”

Section: Crossnetsmentioning

confidence: 99%

See 1 more Smart Citation

Neuromorphic architectures for nanoelectronic circuits

Türel

Lee

et al. 2004

Circuit Theory & Apps

109

View full text Add to dashboard Cite

SUMMARYThis paper reviews recent important results in the development of neuromorphic network architectures ('CrossNets') for future hybrid semiconductor=nanodevice-integrated circuits. In particular, we have shown that despite the hardware-imposed limitations, a simple weight import procedure allows the CrossNets using simple two-terminal nanodevices to perform functions (such as image recognition and pattern classiÿcation) that had been earlier demonstrated in neural networks with continuous, deterministic synaptic weights. Moreover, CrossNets can also be trained to work as classiÿers by the faster error-backpropagation method, despite the absence of a layered structure typical for the usual neural networks. Finally, one more method, 'global reinforcement', may be suitable for training CrossNets to perform not only the pattern classiÿcation, but also more intellectual tasks. A demonstration of such training would open a way towards artiÿcial cerebral-cortex-scale networks capable of advanced information processing (and possibly self-development) at a speed several orders of magnitude higher than that of their biological prototypes.

show abstract

Section: Crossnetsmentioning

confidence: 99%

“…Most our results so far have been received within the simplest (Figure 1). In the light of the recent spectacular demonstration of single-molecule single-electron devices by several groups [23][24][25][26][27], they seem to be the most attractive option for synapse implementation.…”

Section: Crossnetsmentioning

confidence: 99%

Neuromorphic architectures for nanoelectronic circuits

Türel

Lee

et al. 2004

Circuit Theory & Apps

109

View full text Add to dashboard Cite

show abstract

“…4,5 Clusters have fewer metal atoms than metal nanoparticles but a more precisely defined composition and structure and as such they are better suited for comparative studies between theory and experiments. Bare metal clusters have been successfully deposited and studied on various surfaces.…”

mentioning

confidence: 99%

A Molecular Platinum Cluster Junction: A Single-Molecule Switch

et al. 2013

View full text Add to dashboard Cite

Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in: El acceso a la versión del editor puede requerir la suscripción del recurso Abstract: We present a theoretical study of the electronic transport through single-molecule junctions incorporating a Pt 6 metal cluster bound within an organic framework. We show that the insertion of this molecule between a pair of electrodes leads to a fully atomicallyengineered nano-metallic device with high conductance at the Fermi level and two sequential high on/off switching states. The origin of this property can be traced back to the existence of a HOMO which consists of two degenerate and asymmetric orbitals, lying close in energy to the Fermi level of the metallic leads. Their degeneracy is broken when the molecule is contacted to the leads, giving rise to two resonances which become pinned close to the Fermi level and display destructive interference.

show abstract

“…(Their main components, molecular single-electron transistors, have already been demonstrated by several research groups [12][13][14][15][16]. )…”

Section: Introductionmentioning

confidence: 99%

CMOL: Second life for silicon?

Likharev

2008

Microelectronics Journal

View full text Add to dashboard Cite

This report is a brief review of the recent work on architectures for the prospective hybrid CMOS/nanowire/ nanodevice ("CMOL") circuits including digital memories, reconfigurable Boolean-logic circuits, and mixed-signal neuromorphic networks. The basic idea of CMOL circuits is to combine the advantages of CMOS technology (including its flexibility and high fabrication yield) with the extremely high potential density of molecular-scale two-terminal nanodevices. Relatively large critical dimensions of CMOS components and the "bottom-up" approach to nanodevice fabrication may keep CMOL fabrication costs at affordable level. At the same time, the density of active devices in CMOL circuits may be as high as 10 12 cm 2 and that they may provide an unparalleled information processing performance, up to 10 20 operations per cm 2 per second, at manageable power consumption.

show abstract

Molecular clusters as building blocks for nanoelectronics: the first demonstration of a cluster single-electron tunnelling transistor at room temperature

Cited by 57 publications

References 44 publications

Neuromorphic architectures for nanoelectronic circuits

Neuromorphic architectures for nanoelectronic circuits

A Molecular Platinum Cluster Junction: A Single-Molecule Switch

CMOL: Second life for silicon?

Contact Info

Product

Resources

About