DocumentCode
3497751
Title
Decoding of stochastically assembled nanoarrays
Author
Gojman, Benjamin ; Rachlin, Eric ; Savage, John E.
Author_Institution
Dept. of Comput. Sci., Brown Univ., Providence, RI, USA
fYear
2004
fDate
19-20 Feb. 2004
Firstpage
11
Lastpage
18
Abstract
A key challenge that face nanotechnologies is controlling the uncertainty introduced by stochastic self-assembly. In this paper we explore architectural and manufacturing strategies to cope with this uncertainty when assembling nanoarrays, crossbars composed of two orthogonal sets of coded parallel nanowires. Because the encodings of nanowires that are assembled into a nanoarray cannot be predicted in advance, a discovery process is needed and specialized decoding circuitry must be employed. We have developed a probabilistic method of analysis so that various design strategies can be evaluated.
Keywords
assembling; decoding; nanoelectronics; nanowires; stochastic processes; uncertainty handling; architectural strategy; crossbars structure; decoding circuitry; design strategies; discovery process; manufacturing strategies; nanoarrays assembling; nanotechnologies; parallel nanowires; probabilistic method; stochastic self-assembly; stochastically assembled nanoarrays; uncertainty controlling; Assembly; Decoding; Epitaxial layers; Nanowires; Semiconductivity; Semiconductor materials; Stochastic processes; Switches; Uncertainty; Wires;
fLanguage
English
Publisher
ieee
Conference_Titel
VLSI, 2004. Proceedings. IEEE Computer society Annual Symposium on
Print_ISBN
0-7695-2097-9
Type
conf
DOI
10.1109/ISVLSI.2004.1339502
Filename
1339502
Link To Document