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.
Benjamin A. Kowalski, Amy C. Sullivan, Marvin D. Alim, and Robert R. McLeod, "Predictive modeling of two-component holographic photopolymers," Proc. SPIE 10233, Holography: Advances and Modern Trends V, 102330N (Presented at SPIE Optics + Optoelectronics: April 25, 2017; Published: 15 May 2017); https://doi.org/10.1117/12.2265925.
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