A Diffusion Model for Spatially Dependent Photopolymerization

Mackey, D.; Babeva, T.; Naydenova, I.; Toal, V.

doi:10.1007/978-3-642-12110-4_36

D. Mackey⁵,
T. Babeva⁶,
I. Naydenova⁶ &
…
V. Toal⁶

Part of the book series: Mathematics in Industry ((TECMI,volume 15))

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Summary

Photopolymers represent an attractive class of optical recording materials due to properties such as high refractive index modulation, dry film processing, low cost, etc. Applications include holographic data storage disks, optical interconnections, memories and filters. This paper addresses the dynamics of short-exposure holographic grating formation; a new model is proposed to explain the experimental observations of low diffraction efficiency in high spatial frequency gratings.

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References

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Authors and Affiliations

School of Mathematical Sciences, Dublin Institute of Technology, Dublin, Ireland
D. Mackey
Centre for Industrial and Engineering Optics, Dublin Institute of Technology, Dublin, Ireland
T. Babeva, I. Naydenova & V. Toal

Authors

D. Mackey
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T. Babeva
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I. Naydenova
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V. Toal
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Correspondence to D. Mackey .

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Editors and Affiliations

School of Mathematics, University of Southampton, Southampton, SO17 1BJ, United Kingdom
Alistair D. Fitt
Mathematical Institute, University of Oxford, St. Giles 24-29, Oxford, OX1 3LB, United Kingdom
John Norbury
Mathematical Institute, Ctr for Industrial & Applied Mathematics, University of Oxford, St. Giles 24-29, Oxford, OX1 3LB, United Kingdom
Hilary Ockendon
Dept. Engineering Mathematics, University of Bristol, University Walk, Bristol, BS8 1TR, United Kingdom
Eddie Wilson

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Mackey, D., Babeva, T., Naydenova, I., Toal, V. (2010). A Diffusion Model for Spatially Dependent Photopolymerization. In: Fitt, A., Norbury, J., Ockendon, H., Wilson, E. (eds) Progress in Industrial Mathematics at ECMI 2008. Mathematics in Industry(), vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12110-4_36

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DOI: https://doi.org/10.1007/978-3-642-12110-4_36
Published: 20 May 2010
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12109-8
Online ISBN: 978-3-642-12110-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)

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