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Intellectual Community as a Bridge of Interdisciplinary Graduate Education in Materials Data Science

Published online by Cambridge University Press:  27 February 2020

Chi-Ning Chang
Affiliation:
Center for Teaching Excellence
Clinton A. Patterson*
Affiliation:
Center for Teaching Excellence
Willie C. Harmon Jr.
Affiliation:
Center for Teaching Excellence
Debra A. Fowler
Affiliation:
Center for Teaching Excellence
Raymundo Arroyave
Affiliation:
Department of Materials Science and Engineering Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843
*
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Abstract

Recognizing materials development was advancing slower than technological needs, the 2011 the Materials Genome Initiative (MGI) advocated interdisciplinary approaches employing an informatics framework in materials discovery and development. In response, an interdisciplinary graduate program, funded by the National Science Foundation, was designed at the intersection of materials science, materials informatics, and engineering design, aiming to equip the next generation of scientists and engineers with Material Data Science. Based on the 4- year implementation experience, this report demonstrates how intellectual communities bridge students interdisciplinary learning processes and support a transition from disciplinary grounding to interdisciplinary learning and research. We hope this training model can benefit other interdisciplinary graduate programs, and produce a more productive and interdisciplinary materials workforce.

Keywords

Type
Articles
Copyright
Copyright © Materials Research Society 2020

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