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Characterization of polygrama green photopolymer for Compact Optoelectronic Integrated Neural (COIN) coprocessor applications

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dc.contributor.advisor Cardinal Warde. en_US
dc.contributor.author Harton, Renee M en_US
dc.contributor.other Massachusetts Institute of Technology. Dept. of Physics. en_US
dc.date.accessioned 2009-01-30T16:49:16Z
dc.date.available 2009-01-30T16:49:16Z
dc.date.copyright 2008 en_US
dc.date.issued 2008 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/44461
dc.description Includes bibliographical references (leaves 33-34). en_US
dc.description Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics, 2008. en_US
dc.description.abstract The research described in this thesis is a portion of a larger project within the Photonic Systems Group at MIT to design Compact Optoelectronic Integrated Neural (COIN) co processor [13]. The choice of photopolymers is critical in determining the performance of COIN processors as we look at ways to increase the diffraction efficiency. The focus of this research was to optically characterize Polygrama Green, a photopolymer that is sensitive to green light (514 nm). We were able to plot diffraction efficiency versus the exposure energy density for a series of gratings. We found the maximum diffraction efficiency to be that of the 678 mJ/cm2 grating with a value of 29.5%. We were able to fit the data to a sin2(x) curve with a X2- value of 20.79. We concluded that this somewhat high X2-value is due to our low number of data points. However, using Kogelnik's equation and the measured diffraction efficiency of each grating, we were also able to calculate the An, of each grating. This analysis shows that Polygrama Green seems to be a promising candidate for the photopolymer used in subsequent optoelectronic neural network applications. en_US
dc.description.statementofresponsibility by Renee M. Harton. en_US
dc.format.extent 34 leaves: en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582 en_US
dc.subject Physics. en_US
dc.title Characterization of polygrama green photopolymer for Compact Optoelectronic Integrated Neural (COIN) coprocessor applications en_US
dc.type Thesis en_US
dc.description.degree S.B. en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of Physics. en_US
dc.identifier.oclc 297175872 en_US


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