Study of Photorefractive Fibers for Optical Interconnects, Switchings, Massive Memories, and Optical Properties.

Abstract

The objective of this research is to study photorefractive (PR) fibers for optical interconnects, switchings, massive memories, and optical properties. The PR fibers can improve the electro-optic device technology, for which high capacity memories and interconnections can be developed. There are several reasons to select PR fibers over the bulk materials. It is more cost effective in terms of equivalent volume. It is much easier to grow single crystal fibers in long dimension (e.g., 5-10 cm). Because of long length, PR fiber holograms have very high angular and wavelength selectivities. We have, in this research demonstrated that a high capacity fiber-hologram memory can be developed using reflection-type holographic construction strategy. The important aspect of the specially doped Ce:Fe:LiNbO3 fiber is that they have very high photosensitivities such that a low-power visible tunable laser can be used. We have also demonstrated numerous applications, e.g., tunable interconnection network, high density fiber hologram storage, as well as applied to correlators, neural networks and wavelet filtering. (MM)

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Document Details

Document Type
Technical Report
Publication Date
Apr 24, 1995
Accession Number
ADA296083

Entities

People

  • Francis T. Yu

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Content Addressable Memory
  • Curie Temperature
  • Data Storage Systems
  • Energy Transfer
  • Laser Beams
  • Laser Diodes
  • Lasers
  • Light Sources
  • Neural Networks
  • Optical Correlators
  • Optical Properties
  • Optics
  • Phase Transformations
  • Reflection
  • Scattering
  • Signal Processing
  • Visible Spectra

Fields of Study

  • Physics

Readers

  • Integrated Circuit Design and Technology.
  • Materials Science and Engineering.
  • Optical Physics and Photonics.

Technology Areas

  • AI & ML
  • Directed Energy