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Green's function theory for predicting device-to-device variability

delete2013-08-15
delete16
PRE
AI
Y
Yu Zhu *
刘磊 封面图
刘磊 (Lei Liu)
Guo HONG 封面图
Guo HONG (Hong Guo)
DOI:10.1103/PhysRevB.88.085420delete
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摘要

摘要

En 中文
Due to random dopant fluctuations, the device-to-device variability is a serious challenge to emerging nanoelectronics. In this work we present theoretical formalisms and numerical simulations of quantum-transport variability, based on the Green's function technique and the multiple-scattering theory. We have developed a general formalism using the diagrammatic technique within the coherent-potential approximation that can be applied to a wide range of disorder concentrations. In addition, we have developed a method by using a perturbative expansion within the low-concentration approximation that is extremely useful for typical nanoelectronic devices having low dopant concentration. Applying both formalisms, transport fluctuations due to random impurities can be predicted without lengthy brute force computation of ensembles of device structures. Numerical implementations of the formalisms are demonstrated using both tight-binding models and first-principles models.
Keyword:
ELECTRONIC TRANSPORT
FLUCTUATIONS
MOSFETS
ALLOYS

期刊

Physical Review B 封面图
Physical Review B
IF:
3.7
论文数:
15.4W
被引数:
41.0W

机构

M
McGill University
学者数:
5.5W
论文数: 4.9W
被引数: 7.0W
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