A Nano-Transistor Based on Gate-Induced Thermal Switching

Bürki, J.; Stafford, Charles; Stein, D. L.

doi:10.11159/ijtan.2012.005

Cited by 2 publications

(3 citation statements)

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“…By varying the model parameters, one can interpolate between these two extreme cases. An extensive analysis of such transitions, including applications of the current model, will appear in [48].…”

Section: Discussionmentioning

confidence: 99%

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The escape problem in a classical field theory with two coupled fields

Gong¹,

Stein²

2010

J. Phys. A: Math. Theor.

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We introduce and analyze a system of two coupled partial differential equations with external noise. The equations are constructed to model transitions of monovalent metallic nanowires with non-axisymmetric intermediate or end states, but also have more general applicability. They provide a rare example of a system for which an exact solution of nonuniform stationary states can be found. We find a transition in activation behavior as the interval length on which the fields are defined is varied. We discuss several applications to physical problems.

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Section: Discussionmentioning

confidence: 99%

“…We therefore confine our discussion in this paper to the mathematical features of the model and its solution. Its specific application to nanowires-which will necessarily involve additional modeling-will appear elsewhere [48].…”

Section: Introductionmentioning

confidence: 99%

The escape problem in a classical field theory with two coupled fields

Gong¹,

Stein²

2010

J. Phys. A: Math. Theor.

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“…Work has been under way for over a decade to realize immersive excimer laser and EUV metrology [ 87 ]. New research is under way into nanotransistors [ 88 , 89 ] and single-atom-transistors [ 90 ], while another possibility may be quantum computing [ 91 ]. In 2019 Alphabet claimed a breakthrough in quantum computing with a programmable supercomputing processor named "Sycamore" using programmable superconducting qubits to create quantum states on 52 qubits, corresponding to a computational state-space of dimension 2 53 (approximately 10 16 ) [ 85 ].…”

Section: Discussionmentioning

confidence: 99%

Moore’s Law revisited through Intel chip density

Burg

Ausubel

2021

PLoS ONE

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Gordon Moore famously observed that the number of transistors in state-of-the-art integrated circuits (units per chip) increases exponentially, doubling every 12–24 months. Analysts have debated whether simple exponential growth describes the dynamics of computer processor evolution. We note that the increase encompasses two related phenomena, integration of larger numbers of transistors and transistor miniaturization. Growth in the number of transistors per unit area, or chip density, allows examination of the evolution with a single measure. Density of Intel processors between 1959 and 2013 are consistent with a biphasic sigmoidal curve with characteristic times of 9.5 years. During each stage, transistor density increased at least tenfold within approximately six years, followed by at least three years with negligible growth rates. The six waves of transistor density increase account for and give insight into the underlying processes driving advances in processor manufacturing and point to future limits that might be overcome.

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A Nano-Transistor Based on Gate-Induced Thermal Switching

Abstract: Abstract-

Cited by 2 publications

References 44 publications

The escape problem in a classical field theory with two coupled fields

The escape problem in a classical field theory with two coupled fields

Moore’s Law revisited through Intel chip density

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