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Proceedings Paper

Applications of dynamic holograms for quasi-volume storage
Author(s): Lawrence H. Domash
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Paper Abstract

There is growing interest in optical volume storage because of the potential for terabit/cm3 memories with highly parallel access. At this time however, the technology is in an early stage of development and no clear winner has yet emerged with regard to storage material, geometry or input/output architecture. A major design question concerns the tradeoff between "volume" storage implemented in bulk materials (for example, photorefractive crystals) versus films or stacks of films (for example, bacteriorhodopsin or eleciron trapping materials)'. The latter possibility, which we call quasi-volume storage, opens a much wider class of storage materials for consideration.

One approach to volume storage is bit oriented, similar to magnetic memory but higher in density. The second approach, which concerns us here, is essentially holographic in nature; each data write or read is distributed throughout the material volume on the basis of angle multiplexing or other schemes consistent with the principles of holography. A variety of addressing schemes may be contemplated, but their practicality depends to a large degree on the interface devices available.

In an earlier paper(2), we discussed a recently demonstrated family of dynamic holograms which offer a possible basis for not just one but several programmable diffractive devices required for various data input/output schemes. Dynamic fixed holograms are not themselves erasable storage materials, but rather programmable diffractive elements which complement holographic storage materials by providing interferometric interfacing tools. In this note, we suggest that such dynamic holograms may be particularly adapted for integration with thin planar storage materials to achieve high data storage densities approaching those of bulk materials, but with a much more flexible geometry and optical readin/readout architecture

Paper Details

Date Published: 2 February 1993
Proc. SPIE 1773, Photonics for Computers, Neural Networks, and Memories, (2 February 1993);
Show Author Affiliations
Lawrence H. Domash, Foster-Miller, Inc. (United States)

Published in SPIE Proceedings Vol. 1773:
Photonics for Computers, Neural Networks, and Memories
Stephen T. Kowel; John A. Neff; William J. Miceli, Editor(s)

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