Predictive modeling of two-component holographic photopolymers

Benjamin A. Kowalski; Amy C. Sullivan; Marvin D. Alim; Robert R. McLeod

doi:10.1117/12.2265925

15 May 2017 Predictive modeling of two-component holographic photopolymers

Benjamin A. Kowalski, Amy C. Sullivan, Marvin D. Alim, Robert R. McLeod

Proceedings Volume 10233, Holography: Advances and Modern Trends V; 102330N (2017) https://doi.org/10.1117/12.2265925
Event: SPIE Optics + Optoelectronics, 2017, Prague, Czech Republic

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

Citation Download Citation

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 (15 May 2017); https://doi.org/10.1117/12.2265925

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available