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Activity Number:
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317
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #307774 |
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Title:
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Experimental Design and Analysis for Robust Synthesis of Nanostructures
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Author(s):
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Chien-Fu Jeff Wu*+ and Tirthankar Dasgupta and Roshan Vengazhiyil and Zhong Lin Wang and Christopher Ma
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Companies:
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Georgia Institute of Technology and Georgia Institute of Technology and Georgia Institute of Technology and Georgia Institute of Technology and Georgia Institute of Technology
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Address:
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School of Industrial and System Engineering, Atlanta, GA, 30332-0205,
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Keywords:
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design of experiments ; nano-materials ; robust parameter design ; GLM
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Abstract:
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An effort is made to systematically investigate the best process conditions that ensures synthesis of different types of one dimensional cadmium selenide nanostructures with high yield and reproducibility. Through a designed experiment and rigorous statistical analysis of experimental data, models linking the probabilities of obtaining specific morphologies to the process variables are developed. A new iterative algorithm for fitting a Multinomial GLM is proposed and used. The optimum process conditions, which maximize the above probabilities and make the synthesis process less sensitive to variations of process variables around set values are derived from the fitted models using Monte-Carlo simulations. Some future research directions on experimental design and analysis of experimental data are highlighted.
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