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Proceedings Paper

Erasable-dye-polymer-based optical neural network
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Paper Abstract

The search for a dynamic recording medium that can be used in real time without the need for processing has become a critical issue in the development of practical neural network systems, correlators, all-optic switches, image and signal processors, and optical storage devices. A typical optical material respond to changes in the intensity, polarization, or wavelength of the illuminating light. The optical material developed and used for neural network applications responds to changes in the polarization of blur or green laser light. Implementing a neural network or performing optically-controlled acoustic beam steering requires a high-speed read/write/erase optical memory. POCs erasable dye polymer material offers a high read/write/erase data rate, nondestructive reading, fast data access, high storage density, overwrite capability, and long cycle life.

Paper Details

Date Published: 24 October 1997
PDF: 9 pages
Proc. SPIE 3159, Algorithms, Devices, and Systems for Optical Information Processing, (24 October 1997); doi: 10.1117/12.292737
Show Author Affiliations
Gajendra D. Savant, Physical Optics Corp. (United States)
Andrew A. Kostrzewski, Physical Optics Corp. (United States)
Tomasz P. Jannson, Physical Optics Corp. (United States)
Stephen A. Kupiec, Physical Optics Corp. (United States)
Dai Hyun Kim, Physical Optics Corp. (United States)


Published in SPIE Proceedings Vol. 3159:
Algorithms, Devices, and Systems for Optical Information Processing
Bahram Javidi; Demetri Psaltis, Editor(s)

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