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.

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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.