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Team-based Interdisciplinary Materials Research using Image Processing

Published online by Cambridge University Press:  21 March 2011

Jacquelynn Garofano
Affiliation:
Department of Physics, Southern Connecticut State University, New Haven, CT Center for Research on Interface Structures and Phenomena (CRISP), Yale/SCSU
Thomas Sadowski
Affiliation:
Department of Physics, Southern Connecticut State University, New Haven, CT Department of Computer Science, Southern Connecticut State University, New Haven, CT
John DaPonte
Affiliation:
Department of Computer Science, Southern Connecticut State University, New Haven, CT
Christine Broadbridge
Affiliation:
Department of Physics, Southern Connecticut State University, New Haven, CT Center for Research on Interface Structures and Phenomena (CRISP), Yale/SCSU
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Abstract

There is an acute and well-documented need for image processing of microscopy data in materials science regarding, for example, the characterization of the structure/property relationship of a given materials system. In our work, image processing has been used as a framework for conducting interdisciplinary team-based research that effectively integrates programs within the Center for Research on Interface Structures and Phenomena (CRISP) Materials Research Science and Engineering Center (MRSEC), e.g. research experiences for undergraduates (REU), teachers (RET) and high school fellowships. This research resulted from a five-year long collaboration between CRISP and the Physics and Computer Science Departments at Southern Connecticut State University (SCSU). This paper will focus on the implementation of team-based research experiences as a vehicle for interdisciplinary science and education. Representative results of several of the studies are presented and discussed.

Type
Research Article
Copyright
Copyright © Materials Research Society 2011

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