Statistical analysis of semiconductor devices

Citation
Id. Mayergoyz et P. Andrei, Statistical analysis of semiconductor devices, J APPL PHYS, 90(6), 2001, pp. 3019-3029
Citations number
18
Categorie Soggetti
Apllied Physucs/Condensed Matter/Materiales Science
Journal title
JOURNAL OF APPLIED PHYSICS
ISSN journal
00218979 → ACNP
Volume
90
Issue
6
Year of publication
2001
Pages
3019 - 3029
Database
ISI
SICI code
0021-8979(20010915)90:6<3019:SAOSD>2.0.ZU;2-K
Abstract
A technique for the analysis of random dopant-induced effects in semiconduc tor devices is presented. It is based on the "small signal analysis" (pertu rbation) technique. It is computationally much more efficient than the exis ting purely "statistical" techniques, and it yields the information that ca n be directly used for the design of dopant fluctuation-resistant structure s of semiconductor devices. This technique requires only the knowledge of v ariances of fluctuating doping concentrations and in this sense, it is a "s econd-moment characterization" technique. This technique can be naturally e xtended to take into account random fluctuations of oxide thickness and oxi de charges in metal-oxide-semiconductor filed-effect transistor. The numeri cal implementation of this technique is discussed and numerous computationa l results are presented and compared with those previously published in the literature. (C) 2001 American Institute of Physics.