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  <title><![CDATA[PhD Proposal by Alicia Rossi]]></title>
  <body><![CDATA[<p>~~THE SCHOOL OF MATERIALS SCIENCE AND ENGINEERING</p>

<p>GEORGIA INSTITUTE OF TECHNOLOGY</p>

<p>Under the provisions of the regulations for the degree</p>

<p>DOCTOR OF PHILOSOPHY</p>

<p>on Thursday, October 20, 2016<br />
3:00 PM<br />
in Love 109</p>

<p>will be held the</p>

<p>DISSERTATION PROPOSAL DEFENSE</p>

<p>for</p>

<p>Alicia Rossi</p>

<p>&quot;Development of Data-Driven Structure-Property Linkages in Fiber-Reinforced Composites&quot;</p>

<p>Committee Members:</p>

<p>Prof. Surya Kalidindi, Advisor, ME<br />
Prof. Kyriaki Kalaitzidou, ME<br />
Prof. Hamid Garmestani, MSE<br />
Prof. Karl Jacob, MSE<br />
Prof. Antonia Antoniou, ME</p>

<p>Abstract:</p>

<p>In order to advance the discovery of new materials and decrease the development time of new materials, innovative methods must be established to quickly and reliably determine process-structure-property linkages for a variety of material.&nbsp; An important class of material for which such linkages would greatly aid the material design process are fiber reinforced polymer composites.&nbsp; These composites are used for a variety of structural application due to their light weight and excellent mechanical properties. These composites come in a variety of architectures and determination of the optimal configuration of fibers for a particular task is not trivial undertaking.&nbsp;&nbsp; The work outlined in this proposal will establish a protocol for developing efficient, data-driven, structure-property linkages in such composites.</p>
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