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
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;
Conference_Titel :
VLSI, 2004. Proceedings. IEEE Computer society Annual Symposium on
Print_ISBN :
0-7695-2097-9
DOI :
10.1109/ISVLSI.2004.1339502