Title :
Modeling of Electrostatic QCA Wires
Author :
Dysart, Timothy J.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, Notre Dame, IN, USA
Abstract :
This paper presents a yield analysis of molecular scale electrostatic QCA wires in the presence of a variety of manufacturing defects. Within this analysis, we compare wires of varying lengths and widths as thicker wires are frequently projected to be more tolerant to manufacturing defects. Additionally, we compare the simulation results of long wires to the yield rates predicted via probabilistic transfer matrix (PTM) modeling. This comparison demonstrates that PTM modeling is best used when the short wire segments used to estimate the yields of long wires have high yields.
Keywords :
cellular automata; molecular electronics; quantum dots; quantum wires; manufacturing defects; molecular scale electrostatic QCA wires; probabilistic transfer matrix modeling; short wire segments; Fault tolerance; molecular electronics; probabilistic transfer matrices; quantum-dot cellular automata (QCA); yield estimation;
Journal_Title :
Nanotechnology, IEEE Transactions on
DOI :
10.1109/TNANO.2013.2257834