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Reconfigurable Cellular Array Architectures for Molecular Electronics | 
 enlarge | Publisher: Storming Media
Category: Book
Buy New: $27.95
Sales Rank: 5753371
Media: Spiral-bound
Pages: 136
ISBN: 1423527267
EAN: 9781423527268
ASIN: 1423527267
Publication Date: 2001
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
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Condition: Please note that this is a report or document and is not a book, per se. It is 136 pages long and is Velobound in a soft linen cover. This technical report was sponsored by the Pentagon and is provided in the best form available to the government. Sometimes our report quality is picture perfect and in color; other times, particularly for older reports, extensive black-and-white photocopying has degraded the quality. If you have any questions about quality of a particular report, please ask and we would be happy to describe it in more detail.
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Product Description
This is a AIR FORCE RESEARCH LAB KIRTLAND AFB NM report procured by the Pentagon and made available for public release. It has been reproduced in the best form available to the Pentagon. It is not spiral-bound, but rather assembled with Velobinding in a soft, white linen cover. The Storming Media report number is A196393. The abstract provided by the Pentagon follows: This report is a compilation of largely unpublished work pertaining to reconfigurable cellular arrays for digital computation. They bear resemblance to both cellular automata and cellular neural networks, with the attributes of field programmable gate arrays. They are of potential interest to nano-scale / molecular-scale electronics approaches due to their simple, periodic arrangement. As such they address three critical issues at the smallest physical scales: (1) low-interconnect demand; (2) defect tolerance; (3) simplified construction through non-lithographic approaches (such as chemical self- assembly). The report exposes many facets of these arrays, including the ability to directly model their structures with artificial neural networks, which can be trained to implement digital functions directly. The report is intended to represent a snapshot of work against a very difficult problem, rich- in future research exploration opportunities
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