With molecular-scale materials and fabrication techniques recently developed, high-density computing systems in nanometer domain emerge. An array-based nanoarchitecture has been recently proposed based on nanowires such as carbon nanotubes (CNTs), silicon nanowires (SiNWs). High-density nanoarray-based systems consisting of nanometer-scale elements are likely to have many imperfections; thus, defect-tolerance is considered as one of the most significant challenges. In this paper, we propose a probabilistic yield model for the array-based nanoarchitecture. The proposed yield model can be used 1) to accurately estimate the raw and net array densities, and 2) to design and optimize more defect and fault-tolerant systems based on the array-based nanoarchitecture.

Meeting Name

4th IEEE Conference on Nanotechnology, 2004


Electrical and Computer Engineering

Keywords and Phrases

C; Si; Array-Based Nanoarchitecture; Carbon Nanotubes; Defect-Tolerance; Elemental Semiconductors; Failure Analysis; Fault Tolerance; Fault-Tolerant Systems; High-Density Computing Systems; Imperfections; Molecular-Scale Materials; Nanoelectronics; Nanometer Domain; Nanotube Devices; Nanowires; Net Array Densities; Probabilistic Yield Model; Probability; Raw Array Densities; Silicon; Silicon Nanowires; Yield Analysis

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2004 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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