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Proceedings Paper

Modeling and prediction of relaxation of polar order in high-activity nonlinear optical polymers
Author(s): Andrew J. Guenthner; Geoffrey A. Lindsay; Michael E. Wright; Stephen Fallis; Paul R. Ashley; Mohan Sanghadasa
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Paper Abstract

Mach-Zehnder optical modulators were fabricated using the CLD and FTC chromophores in polymer-on-silicon optical waveguides. Up to 17 months of oven-ageing stability are reported for the poled polymer films. Modulators containing an FTC-polyimide had the best over all aging performance. To model and extrapolate the ageing data, a relaxation correlation function attributed to A. K. Jonscher was compared to the well-established stretched exponential correlation function. Both models gave a good fit to the data. The Jonscher model predicted a slower relaxation rate in the out years. Analysis showed that collecting data for a longer period relative to the relaxation time was more important for generating useful predictions than the precision with which individual model parameters could be estimated. Thus from a practical standpoint, time-temperature superposition must be assumed in order to generate meaningful predictions. For this purpose, Arrhenius-type expressions were found to relate the model time constants to the ageing temperatures.

Paper Details

Date Published: 13 September 2007
PDF: 12 pages
Proc. SPIE 6653, Linear and Nonlinear Optics of Organic Materials VII, 66530O (13 September 2007); doi: 10.1117/12.734436
Show Author Affiliations
Andrew J. Guenthner, Naval Air Warfare Ctr. (United States)
Geoffrey A. Lindsay, Naval Air Warfare Ctr. (United States)
Michael E. Wright, Naval Air Warfare Ctr. (United States)
Stephen Fallis, Naval Air Warfare Ctr. (United States)
Paul R. Ashley, U.S. Army Research, Development, and Engineering Command (United States)
Mohan Sanghadasa, U.S. Army Research, Development, and Engineering Command (United States)


Published in SPIE Proceedings Vol. 6653:
Linear and Nonlinear Optics of Organic Materials VII
Jean-Michel Nunzi, Editor(s)

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