15 May 2017 Predictive modeling of two-component holographic photopolymers
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Abstract
We present a general strategy for characterizing the reaction and diffusion kinetics of polymeric holographic recording media by which key processes are decoupled and independently measured. The separate processes are combined into a predictive model that is shown to make accurate quantitative predictions of index response over three orders of exposure dose (~1 to ~103 mJ/cm2) and feature size (0.35 to 500 microns) for a model material similar to commercial media. Several critical performance concepts also emerge from the model, including a prediction of a formulation’s maximum potential index response, insight into why a particular material may not achieve this maximum and the process that limits the recording resolution.
Conference Presentation
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Benjamin A. Kowalski, Benjamin A. Kowalski, Amy C. Sullivan, Amy C. Sullivan, Marvin D. Alim, Marvin D. Alim, Robert R. McLeod, Robert R. McLeod, } "Predictive modeling of two-component holographic photopolymers", Proc. SPIE 10233, Holography: Advances and Modern Trends V, 102330N (15 May 2017); doi: 10.1117/12.2265925; https://doi.org/10.1117/12.2265925
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