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Cited by 257

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Nanowire-based programmable architectures

Dehon, André·2005·ACM Journal on Emerging Technologies in Computing Systems

Abstract

Chemists can now construct wires which are just a few atoms in diameter; these wires can be selectively field-effect gated, and wire crossings can act as diodes with programmable resistance. These new capabilities present both opportunities and challenges for constructing nanoscale computing systems. The tiny feature sizes offer a path to economically scale down to atomic dimensions. However, the associated bottom-up synthesis techniques only produce highly regular structures and come with high defect rates and minimal control during assembly. To exploit these technologies, we develop nanowire-based architectures which can bridge between lithographic and atomic-scale feature sizes and tolerate defective and stochastic assembly of regular arrays to deliver high density universal computing devices. Using 10nm pitch nanowires, these nanowire-based programmable architectures offer one to two orders of magnitude greater mapped-logic density than defect-free lithographic FPGAs at 22nm.

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Metadata

Authors
Dehon, A.
Venue
ACM Journal on Emerging Technologies in Computing Systems
Published
2005-07
Volume
1
Issue
2
Pages
109-162
ISSN
  • 1550-4832 (ISSN-L)
  • 1550-4840
OpenAlex
W2147004330
Cited by
257
References
49
FWCI
23.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nanowire-based programmable architectures. https://app.cochat.ai/papers/10.1145/1084748.1084750
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Dehon, A. (2005). Nanowire-based programmable architectures. ACM Journal on Emerging Technologies in Computing Systems. https://doi.org/10.1145/1084748.1084750

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.